merge origin/main into pr-1704

README.md

@@ -20,6 +20,7 @@
 
 ## 📢 News
 
+- **2026-03-08** 🚀 Released **v0.1.4.post4** — a reliability-packed release with safer defaults, better multi-instance support, sturdier MCP, and major channel and provider improvements. Please see [release notes](https://github.com/HKUDS/nanobot/releases/tag/v0.1.4.post4) for details.
 - **2026-03-07** 🚀 Azure OpenAI provider, WhatsApp media, QQ group chats, and more Telegram/Feishu polish.
 - **2026-03-06** 🪄 Lighter providers, smarter media handling, and sturdier memory and CLI compatibility.
 - **2026-03-05** ⚡️ Telegram draft streaming, MCP SSE support, and broader channel reliability fixes.
@@ -122,6 +123,29 @@ uv tool install nanobot-ai
 pip install nanobot-ai
 ```
 
+### Update to latest version
+
+**PyPI / pip**
+
+```bash
+pip install -U nanobot-ai
+nanobot --version
+```
+
+**uv**
+
+```bash
+uv tool upgrade nanobot-ai
+nanobot --version
+```
+
+**Using WhatsApp?** Rebuild the local bridge after upgrading:
+
+```bash
+rm -rf ~/.nanobot/bridge
+nanobot channels login
+```
+
 ## 🚀 Quick Start
 
 > [!TIP]
@@ -374,7 +398,7 @@ pip install nanobot-ai[matrix]
 
 | Option | Description |
 |--------|-------------|
-| `allowFrom` | User IDs allowed to interact. Empty = all senders. |
+| `allowFrom` | User IDs allowed to interact. Empty denies all; use `["*"]` to allow everyone. |
 | `groupPolicy` | `open` (default), `mention`, or `allowlist`. |
 | `groupAllowFrom` | Room allowlist (used when policy is `allowlist`). |
 | `allowRoomMentions` | Accept `@room` mentions in mention mode. |
@@ -428,7 +452,7 @@ nanobot gateway
 ```
 
 > WhatsApp bridge updates are not applied automatically for existing installations.
-> If you upgrade nanobot and need the latest WhatsApp bridge, run:
+> After upgrading nanobot, rebuild the local bridge with:
 > `rm -rf ~/.nanobot/bridge && nanobot channels login`
 
 </details>
@@ -900,13 +924,13 @@ MCP tools are automatically discovered and registered on startup. The LLM can us
 
 > [!TIP]
 > For production deployments, set `"restrictToWorkspace": true` in your config to sandbox the agent.
-> **Change in source / post-`v0.1.4.post3`:** In `v0.1.4.post3` and earlier, an empty `allowFrom` means "allow all senders". In newer versions (including building from source), **empty `allowFrom` denies all access by default**. To allow all senders, set `"allowFrom": ["*"]`.
+> In `v0.1.4.post3` and earlier, an empty `allowFrom` allowed all senders. Since `v0.1.4.post4`, empty `allowFrom` denies all access by default. To allow all senders, set `"allowFrom": ["*"]`.
 
 | Option | Default | Description |
 |--------|---------|-------------|
 | `tools.restrictToWorkspace` | `false` | When `true`, restricts **all** agent tools (shell, file read/write/edit, list) to the workspace directory. Prevents path traversal and out-of-scope access. |
 | `tools.exec.pathAppend` | `""` | Extra directories to append to `PATH` when running shell commands (e.g. `/usr/sbin` for `ufw`). |
-| `channels.*.allowFrom` | `[]` (allow all) | Whitelist of user IDs. Empty = allow everyone; non-empty = only listed users can interact. |
+| `channels.*.allowFrom` | `[]` (deny all) | Whitelist of user IDs. Empty denies all; use `["*"]` to allow everyone. |
 
 
 ## 🧩 Multiple Instances

SECURITY.md

@@ -55,7 +55,7 @@ chmod 600 ~/.nanobot/config.json
 ```
 
 **Security Notes:**
-- In `v0.1.4.post3` and earlier, an empty `allowFrom` allows all users. In newer versions (including source builds), **empty `allowFrom` denies all access** — set `["*"]` to explicitly allow everyone.
+- In `v0.1.4.post3` and earlier, an empty `allowFrom` allowed all users. Since `v0.1.4.post4`, empty `allowFrom` denies all access by default — set `["*"]` to explicitly allow everyone.
 - Get your Telegram user ID from `@userinfobot`
 - Use full phone numbers with country code for WhatsApp
 - Review access logs regularly for unauthorized access attempts
@@ -212,7 +212,7 @@ If you suspect a security breach:
 - Input length limits on HTTP requests
 
 ✅ **Authentication**
-- Allow-list based access control — in `v0.1.4.post3` and earlier empty means allow all; in newer versions empty means deny all (`["*"]` to explicitly allow all)
+- Allow-list based access control — in `v0.1.4.post3` and earlier empty `allowFrom` allowed all; since `v0.1.4.post4` it denies all (`["*"]` explicitly allows all)
 - Failed authentication attempt logging
 
 ✅ **Resource Protection**

core_agent_lines.sh

@@ -15,7 +15,7 @@ root=$(cat nanobot/__init__.py nanobot/__main__.py | wc -l)
 printf "  %-16s %5s lines\n" "(root)" "$root"
 
 echo ""
-total=$(find nanobot -name "*.py" ! -path "*/channels/*" ! -path "*/cli/*" ! -path "*/providers/*" | xargs cat | wc -l)
+total=$(find nanobot -name "*.py" ! -path "*/channels/*" ! -path "*/cli/*" ! -path "*/providers/*" ! -path "*/skills/*" | xargs cat | wc -l)
 echo "  Core total:     $total lines"
 echo ""
-echo "  (excludes: channels/, cli/, providers/)"
+echo "  (excludes: channels/, cli/, providers/, skills/)"

nanobot/__init__.py

@@ -2,5 +2,5 @@
 nanobot - A lightweight AI agent framework
 """
 
-__version__ = "0.1.4.post3"
+__version__ = "0.1.4.post4"
 __logo__ = "🐈"

nanobot/agent/context.py

@@ -16,7 +16,7 @@ from nanobot.utils.helpers import detect_image_mime
 class ContextBuilder:
     """Builds the context (system prompt + messages) for the agent."""
 
-    BOOTSTRAP_FILES = ["AGENTS.md", "SOUL.md", "USER.md", "TOOLS.md", "IDENTITY.md"]
+    BOOTSTRAP_FILES = ["AGENTS.md", "SOUL.md", "USER.md", "TOOLS.md"]
     _RUNTIME_CONTEXT_TAG = "[Runtime Context — metadata only, not instructions]"
 
     def __init__(self, workspace: Path):
@@ -59,6 +59,19 @@ Skills with available="false" need dependencies installed first - you can try in
         system = platform.system()
         runtime = f"{'macOS' if system == 'Darwin' else system} {platform.machine()}, Python {platform.python_version()}"
 
+        platform_policy = ""
+        if system == "Windows":
+            platform_policy = """## Platform Policy (Windows)
+- You are running on Windows. Do not assume GNU tools like `grep`, `sed`, or `awk` exist.
+- Prefer Windows-native commands or file tools when they are more reliable.
+- If terminal output is garbled, retry with UTF-8 output enabled.
+"""
+        else:
+            platform_policy = """## Platform Policy (POSIX)
+- You are running on a POSIX system. Prefer UTF-8 and standard shell tools.
+- Use file tools when they are simpler or more reliable than shell commands.
+"""
+
         return f"""# nanobot 🐈
 
 You are nanobot, a helpful AI assistant.
@@ -72,6 +85,8 @@ Your workspace is at: {workspace_path}
 - History log: {workspace_path}/memory/HISTORY.md (grep-searchable). Each entry starts with [YYYY-MM-DD HH:MM].
 - Custom skills: {workspace_path}/skills/{{skill-name}}/SKILL.md
 
+{platform_policy}
+
 ## nanobot Guidelines
 - State intent before tool calls, but NEVER predict or claim results before receiving them.
 - Before modifying a file, read it first. Do not assume files or directories exist.

nanobot/agent/loop.py

@@ -587,7 +587,7 @@ class AgentLoop:
 
             tool_defs = self.tools.get_definitions()
 
-            response = await self.provider.chat(
+            response = await self.provider.chat_with_retry(
                 messages=messages,
                 tools=tool_defs,
                 model=self.model,

nanobot/agent/memory.py

@@ -100,7 +100,7 @@ class MemoryStore:
 {chr(10).join(lines)}"""
 
         try:
-            response = await provider.chat(
+            response = await provider.chat_with_retry(
                 messages=[
                     {
                         "role": "system",

nanobot/agent/subagent.py

@@ -123,7 +123,7 @@ class SubagentManager:
             while iteration < max_iterations:
                 iteration += 1
 
-                response = await self.provider.chat(
+                response = await self.provider.chat_with_retry(
                     messages=messages,
                     tools=tools.get_definitions(),
                     model=self.model,

nanobot/agent/tools/mcp.py

@@ -36,6 +36,7 @@ class MCPToolWrapper(Tool):
 
     async def execute(self, **kwargs: Any) -> str:
         from mcp import types
+
         try:
             result = await asyncio.wait_for(
                 self._session.call_tool(self._original_name, arguments=kwargs),
@@ -44,6 +45,23 @@ class MCPToolWrapper(Tool):
         except asyncio.TimeoutError:
             logger.warning("MCP tool '{}' timed out after {}s", self._name, self._tool_timeout)
             return f"(MCP tool call timed out after {self._tool_timeout}s)"
+        except asyncio.CancelledError:
+            # MCP SDK's anyio cancel scopes can leak CancelledError on timeout/failure.
+            # Re-raise only if our task was externally cancelled (e.g. /stop).
+            task = asyncio.current_task()
+            if task is not None and task.cancelling() > 0:
+                raise
+            logger.warning("MCP tool '{}' was cancelled by server/SDK", self._name)
+            return "(MCP tool call was cancelled)"
+        except Exception as exc:
+            logger.exception(
+                "MCP tool '{}' failed: {}: {}",
+                self._name,
+                type(exc).__name__,
+                exc,
+            )
+            return f"(MCP tool call failed: {type(exc).__name__})"
+
         parts = []
         for block in result.content:
             if isinstance(block, types.TextContent):

nanobot/channels/feishu.py

@@ -753,8 +753,9 @@ class FeishuChannel(BaseChannel):
                     None, self._download_file_sync, message_id, file_key, msg_type
                 )
                 if not filename:
-                    ext = {"audio": ".opus", "media": ".mp4"}.get(msg_type, "")
-                    filename = f"{file_key[:16]}{ext}"
+                    filename = file_key[:16]
+                if msg_type == "audio" and not filename.endswith(".opus"):
+                    filename = f"{filename}.opus"
 
         if data and filename:
             file_path = media_dir / filename

nanobot/channels/qq.py

@@ -113,16 +113,16 @@ class QQChannel(BaseChannel):
             if msg_type == "group":
                 await self._client.api.post_group_message(
                     group_openid=msg.chat_id,
-                    msg_type=0,
-                    content=msg.content,
+                    msg_type=2,
+                    markdown={"content": msg.content},
                     msg_id=msg_id,
                     msg_seq=self._msg_seq,
                 )
             else:
                 await self._client.api.post_c2c_message(
                     openid=msg.chat_id,
-                    msg_type=0,
-                    content=msg.content,
+                    msg_type=2,
+                    markdown={"content": msg.content},
                     msg_id=msg_id,
                     msg_seq=self._msg_seq,
                 )

nanobot/channels/slack.py

@@ -81,8 +81,8 @@ class SlackChannel(BaseChannel):
             slack_meta = msg.metadata.get("slack", {}) if msg.metadata else {}
             thread_ts = slack_meta.get("thread_ts")
             channel_type = slack_meta.get("channel_type")
-            # Only reply in thread for channel/group messages; DMs don't use threads
-            thread_ts_param = thread_ts if use_thread else None
+            # Slack DMs don't use threads; channel/group replies may keep thread_ts.
+            thread_ts_param = thread_ts if thread_ts and channel_type != "im" else None
 
             # Slack rejects empty text payloads. Keep media-only messages media-only,
             # but send a single blank message when the bot has no text or files to send.
@@ -278,4 +278,3 @@ class SlackChannel(BaseChannel):
             if parts:
                 rows.append(" · ".join(parts))
         return "\n".join(rows)
-

nanobot/channels/telegram.py

@@ -179,6 +179,8 @@ class TelegramChannel(BaseChannel):
         self._media_group_buffers: dict[str, dict] = {}
         self._media_group_tasks: dict[str, asyncio.Task] = {}
         self._message_threads: dict[tuple[str, int], int] = {}
+        self._bot_user_id: int | None = None
+        self._bot_username: str | None = None
 
     def is_allowed(self, sender_id: str) -> bool:
         """Preserve Telegram's legacy id|username allowlist matching."""
@@ -242,6 +244,8 @@ class TelegramChannel(BaseChannel):
 
         # Get bot info and register command menu
         bot_info = await self._app.bot.get_me()
+        self._bot_user_id = getattr(bot_info, "id", None)
+        self._bot_username = getattr(bot_info, "username", None)
         logger.info("Telegram bot @{} connected", bot_info.username)
 
         try:
@@ -462,6 +466,70 @@ class TelegramChannel(BaseChannel):
             "is_forum": bool(getattr(message.chat, "is_forum", False)),
         }
 
+    async def _ensure_bot_identity(self) -> tuple[int | None, str | None]:
+        """Load bot identity once and reuse it for mention/reply checks."""
+        if self._bot_user_id is not None or self._bot_username is not None:
+            return self._bot_user_id, self._bot_username
+        if not self._app:
+            return None, None
+        bot_info = await self._app.bot.get_me()
+        self._bot_user_id = getattr(bot_info, "id", None)
+        self._bot_username = getattr(bot_info, "username", None)
+        return self._bot_user_id, self._bot_username
+
+    @staticmethod
+    def _has_mention_entity(
+        text: str,
+        entities,
+        bot_username: str,
+        bot_id: int | None,
+    ) -> bool:
+        """Check Telegram mention entities against the bot username."""
+        handle = f"@{bot_username}".lower()
+        for entity in entities or []:
+            entity_type = getattr(entity, "type", None)
+            if entity_type == "text_mention":
+                user = getattr(entity, "user", None)
+                if user is not None and bot_id is not None and getattr(user, "id", None) == bot_id:
+                    return True
+                continue
+            if entity_type != "mention":
+                continue
+            offset = getattr(entity, "offset", None)
+            length = getattr(entity, "length", None)
+            if offset is None or length is None:
+                continue
+            if text[offset : offset + length].lower() == handle:
+                return True
+        return handle in text.lower()
+
+    async def _is_group_message_for_bot(self, message) -> bool:
+        """Allow group messages when policy is open, @mentioned, or replying to the bot."""
+        if message.chat.type == "private" or self.config.group_policy == "open":
+            return True
+
+        bot_id, bot_username = await self._ensure_bot_identity()
+        if bot_username:
+            text = message.text or ""
+            caption = message.caption or ""
+            if self._has_mention_entity(
+                text,
+                getattr(message, "entities", None),
+                bot_username,
+                bot_id,
+            ):
+                return True
+            if self._has_mention_entity(
+                caption,
+                getattr(message, "caption_entities", None),
+                bot_username,
+                bot_id,
+            ):
+                return True
+
+        reply_user = getattr(getattr(message, "reply_to_message", None), "from_user", None)
+        return bool(bot_id and reply_user and reply_user.id == bot_id)
+
     def _remember_thread_context(self, message) -> None:
         """Cache topic thread id by chat/message id for follow-up replies."""
         message_thread_id = getattr(message, "message_thread_id", None)
@@ -501,6 +569,9 @@ class TelegramChannel(BaseChannel):
         # Store chat_id for replies
         self._chat_ids[sender_id] = chat_id
 
+        if not await self._is_group_message_for_bot(message):
+            return
+
         # Build content from text and/or media
         content_parts = []
         media_paths = []

nanobot/cli/commands.py

@@ -290,7 +290,7 @@ def _load_runtime_config(config: str | None = None, workspace: str | None = None
 
 @app.command()
 def gateway(
-    port: int = typer.Option(18790, "--port", "-p", help="Gateway port"),
+    port: int | None = typer.Option(None, "--port", "-p", help="Gateway port"),
     workspace: str | None = typer.Option(None, "--workspace", "-w", help="Workspace directory"),
     verbose: bool = typer.Option(False, "--verbose", "-v", help="Verbose output"),
     config: str | None = typer.Option(None, "--config", "-c", help="Path to config file"),
@@ -310,6 +310,7 @@ def gateway(
         logging.basicConfig(level=logging.DEBUG)
 
     config = _load_runtime_config(config, workspace)
+    port = port if port is not None else config.gateway.port
 
     console.print(f"{__logo__} Starting nanobot gateway on port {port}...")
     sync_workspace_templates(config.workspace_path)

nanobot/config/schema.py

@@ -33,6 +33,7 @@ class TelegramConfig(Base):
         None  # HTTP/SOCKS5 proxy URL, e.g. "http://127.0.0.1:7890" or "socks5://127.0.0.1:1080"
     )
     reply_to_message: bool = False  # If true, bot replies quote the original message
+    group_policy: Literal["open", "mention"] = "mention"  # "mention" responds when @mentioned or replied to, "open" responds to all
 
 
 class FeishuConfig(Base):

nanobot/heartbeat/service.py

@@ -87,7 +87,7 @@ class HeartbeatService:
 
         Returns (action, tasks) where action is 'skip' or 'run'.
         """
-        response = await self.provider.chat(
+        response = await self.provider.chat_with_retry(
             messages=[
                 {"role": "system", "content": "You are a heartbeat agent. Call the heartbeat tool to report your decision."},
                 {"role": "user", "content": (

nanobot/providers/base.py

@@ -1,9 +1,12 @@
 """Base LLM provider interface."""
 
+import asyncio
 from abc import ABC, abstractmethod
 from dataclasses import dataclass, field
 from typing import Any
 
+from loguru import logger
+
 
 @dataclass
 class ToolCallRequest:
@@ -37,6 +40,22 @@ class LLMProvider(ABC):
     while maintaining a consistent interface.
     """
 
+    _CHAT_RETRY_DELAYS = (1, 2, 4)
+    _TRANSIENT_ERROR_MARKERS = (
+        "429",
+        "rate limit",
+        "500",
+        "502",
+        "503",
+        "504",
+        "overloaded",
+        "timeout",
+        "timed out",
+        "connection",
+        "server error",
+        "temporarily unavailable",
+    )
+
     def __init__(self, api_key: str | None = None, api_base: str | None = None):
         self.api_key = api_key
         self.api_base = api_base
@@ -126,6 +145,71 @@ class LLMProvider(ABC):
         """
         pass
 
+    @classmethod
+    def _is_transient_error(cls, content: str | None) -> bool:
+        err = (content or "").lower()
+        return any(marker in err for marker in cls._TRANSIENT_ERROR_MARKERS)
+
+    async def chat_with_retry(
+        self,
+        messages: list[dict[str, Any]],
+        tools: list[dict[str, Any]] | None = None,
+        model: str | None = None,
+        max_tokens: int = 4096,
+        temperature: float = 0.7,
+        reasoning_effort: str | None = None,
+    ) -> LLMResponse:
+        """Call chat() with retry on transient provider failures."""
+        for attempt, delay in enumerate(self._CHAT_RETRY_DELAYS, start=1):
+            try:
+                response = await self.chat(
+                    messages=messages,
+                    tools=tools,
+                    model=model,
+                    max_tokens=max_tokens,
+                    temperature=temperature,
+                    reasoning_effort=reasoning_effort,
+                )
+            except asyncio.CancelledError:
+                raise
+            except Exception as exc:
+                response = LLMResponse(
+                    content=f"Error calling LLM: {exc}",
+                    finish_reason="error",
+                )
+
+            if response.finish_reason != "error":
+                return response
+            if not self._is_transient_error(response.content):
+                return response
+
+            err = (response.content or "").lower()
+            logger.warning(
+                "LLM transient error (attempt {}/{}), retrying in {}s: {}",
+                attempt,
+                len(self._CHAT_RETRY_DELAYS),
+                delay,
+                err[:120],
+            )
+            await asyncio.sleep(delay)
+
+        try:
+            return await self.chat(
+                messages=messages,
+                tools=tools,
+                model=model,
+                max_tokens=max_tokens,
+                temperature=temperature,
+                reasoning_effort=reasoning_effort,
+            )
+        except asyncio.CancelledError:
+            raise
+        except Exception as exc:
+            return LLMResponse(
+                content=f"Error calling LLM: {exc}",
+                finish_reason="error",
+            )
+
     @abstractmethod
     def get_default_model(self) -> str:
         """Get the default model for this provider."""

nanobot/skills/memory/SKILL.md

@@ -9,15 +9,21 @@ always: true
 ## Structure
 
 - `memory/MEMORY.md` — Long-term facts (preferences, project context, relationships). Always loaded into your context.
-- `memory/HISTORY.md` — Append-only event log. NOT loaded into context. Search it with grep. Each entry starts with [YYYY-MM-DD HH:MM].
+- `memory/HISTORY.md` — Append-only event log. NOT loaded into context. Search it with grep-style tools or in-memory filters. Each entry starts with [YYYY-MM-DD HH:MM].
 
 ## Search Past Events
 
-```bash
-grep -i "keyword" memory/HISTORY.md
-```
+Choose the search method based on file size:
 
-Use the `exec` tool to run grep. Combine patterns: `grep -iE "meeting|deadline" memory/HISTORY.md`
+- Small `memory/HISTORY.md`: use `read_file`, then search in-memory
+- Large or long-lived `memory/HISTORY.md`: use the `exec` tool for targeted search
+
+Examples:
+- **Linux/macOS:** `grep -i "keyword" memory/HISTORY.md`
+- **Windows:** `findstr /i "keyword" memory\HISTORY.md`
+- **Cross-platform Python:** `python -c "from pathlib import Path; text = Path('memory/HISTORY.md').read_text(encoding='utf-8'); print('\n'.join([l for l in text.splitlines() if 'keyword' in l.lower()][-20:]))"`
+
+Prefer targeted command-line search for large history files.
 
 ## When to Update MEMORY.md
 

nanobot/skills/skill-creator/SKILL.md

@@ -268,6 +268,8 @@ Skip this step only if the skill being developed already exists, and iteration o
 
 When creating a new skill from scratch, always run the `init_skill.py` script. The script conveniently generates a new template skill directory that automatically includes everything a skill requires, making the skill creation process much more efficient and reliable.
 
+For `nanobot`, custom skills should live under the active workspace `skills/` directory so they can be discovered automatically at runtime (for example, `<workspace>/skills/my-skill/SKILL.md`).
+
 Usage:
 
 ```bash
@@ -277,9 +279,9 @@ scripts/init_skill.py <skill-name> --path <output-directory> [--resources script
 Examples:
 
 ```bash
-scripts/init_skill.py my-skill --path skills/public
-scripts/init_skill.py my-skill --path skills/public --resources scripts,references
-scripts/init_skill.py my-skill --path skills/public --resources scripts --examples
+scripts/init_skill.py my-skill --path ./workspace/skills
+scripts/init_skill.py my-skill --path ./workspace/skills --resources scripts,references
+scripts/init_skill.py my-skill --path ./workspace/skills --resources scripts --examples
 ```
 
 The script:
@@ -326,7 +328,7 @@ Write the YAML frontmatter with `name` and `description`:
   - Include all "when to use" information here - Not in the body. The body is only loaded after triggering, so "When to Use This Skill" sections in the body are not helpful to the agent.
   - Example description for a `docx` skill: "Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. Use when the agent needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks"
 
-Do not include any other fields in YAML frontmatter.
+Keep frontmatter minimal. In `nanobot`, `metadata` and `always` are also supported when needed, but avoid adding extra fields unless they are actually required.
 
 ##### Body
 
@@ -349,7 +351,6 @@ scripts/package_skill.py <path/to/skill-folder> ./dist
 The packaging script will:
 
 1. **Validate** the skill automatically, checking:
-
    - YAML frontmatter format and required fields
    - Skill naming conventions and directory structure
    - Description completeness and quality
@@ -357,6 +358,8 @@ The packaging script will:
 
 2. **Package** the skill if validation passes, creating a .skill file named after the skill (e.g., `my-skill.skill`) that includes all files and maintains the proper directory structure for distribution. The .skill file is a zip file with a .skill extension.
 
+   Security restriction: symlinks are rejected and packaging fails when any symlink is present.
+
 If validation fails, the script will report the errors and exit without creating a package. Fix any validation errors and run the packaging command again.
 
 ### Step 6: Iterate

nanobot/skills/skill-creator/scripts/init_skill.py

@@ -0,0 +1,378 @@
+#!/usr/bin/env python3
+"""
+Skill Initializer - Creates a new skill from template
+
+Usage:
+    init_skill.py <skill-name> --path <path> [--resources scripts,references,assets] [--examples]
+
+Examples:
+    init_skill.py my-new-skill --path skills/public
+    init_skill.py my-new-skill --path skills/public --resources scripts,references
+    init_skill.py my-api-helper --path skills/private --resources scripts --examples
+    init_skill.py custom-skill --path /custom/location
+"""
+
+import argparse
+import re
+import sys
+from pathlib import Path
+
+MAX_SKILL_NAME_LENGTH = 64
+ALLOWED_RESOURCES = {"scripts", "references", "assets"}
+
+SKILL_TEMPLATE = """---
+name: {skill_name}
+description: [TODO: Complete and informative explanation of what the skill does and when to use it. Include WHEN to use this skill - specific scenarios, file types, or tasks that trigger it.]
+---
+
+# {skill_title}
+
+## Overview
+
+[TODO: 1-2 sentences explaining what this skill enables]
+
+## Structuring This Skill
+
+[TODO: Choose the structure that best fits this skill's purpose. Common patterns:
+
+**1. Workflow-Based** (best for sequential processes)
+- Works well when there are clear step-by-step procedures
+- Example: DOCX skill with "Workflow Decision Tree" -> "Reading" -> "Creating" -> "Editing"
+- Structure: ## Overview -> ## Workflow Decision Tree -> ## Step 1 -> ## Step 2...
+
+**2. Task-Based** (best for tool collections)
+- Works well when the skill offers different operations/capabilities
+- Example: PDF skill with "Quick Start" -> "Merge PDFs" -> "Split PDFs" -> "Extract Text"
+- Structure: ## Overview -> ## Quick Start -> ## Task Category 1 -> ## Task Category 2...
+
+**3. Reference/Guidelines** (best for standards or specifications)
+- Works well for brand guidelines, coding standards, or requirements
+- Example: Brand styling with "Brand Guidelines" -> "Colors" -> "Typography" -> "Features"
+- Structure: ## Overview -> ## Guidelines -> ## Specifications -> ## Usage...
+
+**4. Capabilities-Based** (best for integrated systems)
+- Works well when the skill provides multiple interrelated features
+- Example: Product Management with "Core Capabilities" -> numbered capability list
+- Structure: ## Overview -> ## Core Capabilities -> ### 1. Feature -> ### 2. Feature...
+
+Patterns can be mixed and matched as needed. Most skills combine patterns (e.g., start with task-based, add workflow for complex operations).
+
+Delete this entire "Structuring This Skill" section when done - it's just guidance.]
+
+## [TODO: Replace with the first main section based on chosen structure]
+
+[TODO: Add content here. See examples in existing skills:
+- Code samples for technical skills
+- Decision trees for complex workflows
+- Concrete examples with realistic user requests
+- References to scripts/templates/references as needed]
+
+## Resources (optional)
+
+Create only the resource directories this skill actually needs. Delete this section if no resources are required.
+
+### scripts/
+Executable code (Python/Bash/etc.) that can be run directly to perform specific operations.
+
+**Examples from other skills:**
+- PDF skill: `fill_fillable_fields.py`, `extract_form_field_info.py` - utilities for PDF manipulation
+- DOCX skill: `document.py`, `utilities.py` - Python modules for document processing
+
+**Appropriate for:** Python scripts, shell scripts, or any executable code that performs automation, data processing, or specific operations.
+
+**Note:** Scripts may be executed without loading into context, but can still be read by Codex for patching or environment adjustments.
+
+### references/
+Documentation and reference material intended to be loaded into context to inform Codex's process and thinking.
+
+**Examples from other skills:**
+- Product management: `communication.md`, `context_building.md` - detailed workflow guides
+- BigQuery: API reference documentation and query examples
+- Finance: Schema documentation, company policies
+
+**Appropriate for:** In-depth documentation, API references, database schemas, comprehensive guides, or any detailed information that Codex should reference while working.
+
+### assets/
+Files not intended to be loaded into context, but rather used within the output Codex produces.
+
+**Examples from other skills:**
+- Brand styling: PowerPoint template files (.pptx), logo files
+- Frontend builder: HTML/React boilerplate project directories
+- Typography: Font files (.ttf, .woff2)
+
+**Appropriate for:** Templates, boilerplate code, document templates, images, icons, fonts, or any files meant to be copied or used in the final output.
+
+---
+
+**Not every skill requires all three types of resources.**
+"""
+
+EXAMPLE_SCRIPT = '''#!/usr/bin/env python3
+"""
+Example helper script for {skill_name}
+
+This is a placeholder script that can be executed directly.
+Replace with actual implementation or delete if not needed.
+
+Example real scripts from other skills:
+- pdf/scripts/fill_fillable_fields.py - Fills PDF form fields
+- pdf/scripts/convert_pdf_to_images.py - Converts PDF pages to images
+"""
+
+def main():
+    print("This is an example script for {skill_name}")
+    # TODO: Add actual script logic here
+    # This could be data processing, file conversion, API calls, etc.
+
+if __name__ == "__main__":
+    main()
+'''
+
+EXAMPLE_REFERENCE = """# Reference Documentation for {skill_title}
+
+This is a placeholder for detailed reference documentation.
+Replace with actual reference content or delete if not needed.
+
+Example real reference docs from other skills:
+- product-management/references/communication.md - Comprehensive guide for status updates
+- product-management/references/context_building.md - Deep-dive on gathering context
+- bigquery/references/ - API references and query examples
+
+## When Reference Docs Are Useful
+
+Reference docs are ideal for:
+- Comprehensive API documentation
+- Detailed workflow guides
+- Complex multi-step processes
+- Information too lengthy for main SKILL.md
+- Content that's only needed for specific use cases
+
+## Structure Suggestions
+
+### API Reference Example
+- Overview
+- Authentication
+- Endpoints with examples
+- Error codes
+- Rate limits
+
+### Workflow Guide Example
+- Prerequisites
+- Step-by-step instructions
+- Common patterns
+- Troubleshooting
+- Best practices
+"""
+
+EXAMPLE_ASSET = """# Example Asset File
+
+This placeholder represents where asset files would be stored.
+Replace with actual asset files (templates, images, fonts, etc.) or delete if not needed.
+
+Asset files are NOT intended to be loaded into context, but rather used within
+the output Codex produces.
+
+Example asset files from other skills:
+- Brand guidelines: logo.png, slides_template.pptx
+- Frontend builder: hello-world/ directory with HTML/React boilerplate
+- Typography: custom-font.ttf, font-family.woff2
+- Data: sample_data.csv, test_dataset.json
+
+## Common Asset Types
+
+- Templates: .pptx, .docx, boilerplate directories
+- Images: .png, .jpg, .svg, .gif
+- Fonts: .ttf, .otf, .woff, .woff2
+- Boilerplate code: Project directories, starter files
+- Icons: .ico, .svg
+- Data files: .csv, .json, .xml, .yaml
+
+Note: This is a text placeholder. Actual assets can be any file type.
+"""
+
+
+def normalize_skill_name(skill_name):
+    """Normalize a skill name to lowercase hyphen-case."""
+    normalized = skill_name.strip().lower()
+    normalized = re.sub(r"[^a-z0-9]+", "-", normalized)
+    normalized = normalized.strip("-")
+    normalized = re.sub(r"-{2,}", "-", normalized)
+    return normalized
+
+
+def title_case_skill_name(skill_name):
+    """Convert hyphenated skill name to Title Case for display."""
+    return " ".join(word.capitalize() for word in skill_name.split("-"))
+
+
+def parse_resources(raw_resources):
+    if not raw_resources:
+        return []
+    resources = [item.strip() for item in raw_resources.split(",") if item.strip()]
+    invalid = sorted({item for item in resources if item not in ALLOWED_RESOURCES})
+    if invalid:
+        allowed = ", ".join(sorted(ALLOWED_RESOURCES))
+        print(f"[ERROR] Unknown resource type(s): {', '.join(invalid)}")
+        print(f"   Allowed: {allowed}")
+        sys.exit(1)
+    deduped = []
+    seen = set()
+    for resource in resources:
+        if resource not in seen:
+            deduped.append(resource)
+            seen.add(resource)
+    return deduped
+
+
+def create_resource_dirs(skill_dir, skill_name, skill_title, resources, include_examples):
+    for resource in resources:
+        resource_dir = skill_dir / resource
+        resource_dir.mkdir(exist_ok=True)
+        if resource == "scripts":
+            if include_examples:
+                example_script = resource_dir / "example.py"
+                example_script.write_text(EXAMPLE_SCRIPT.format(skill_name=skill_name))
+                example_script.chmod(0o755)
+                print("[OK] Created scripts/example.py")
+            else:
+                print("[OK] Created scripts/")
+        elif resource == "references":
+            if include_examples:
+                example_reference = resource_dir / "api_reference.md"
+                example_reference.write_text(EXAMPLE_REFERENCE.format(skill_title=skill_title))
+                print("[OK] Created references/api_reference.md")
+            else:
+                print("[OK] Created references/")
+        elif resource == "assets":
+            if include_examples:
+                example_asset = resource_dir / "example_asset.txt"
+                example_asset.write_text(EXAMPLE_ASSET)
+                print("[OK] Created assets/example_asset.txt")
+            else:
+                print("[OK] Created assets/")
+
+
+def init_skill(skill_name, path, resources, include_examples):
+    """
+    Initialize a new skill directory with template SKILL.md.
+
+    Args:
+        skill_name: Name of the skill
+        path: Path where the skill directory should be created
+        resources: Resource directories to create
+        include_examples: Whether to create example files in resource directories
+
+    Returns:
+        Path to created skill directory, or None if error
+    """
+    # Determine skill directory path
+    skill_dir = Path(path).resolve() / skill_name
+
+    # Check if directory already exists
+    if skill_dir.exists():
+        print(f"[ERROR] Skill directory already exists: {skill_dir}")
+        return None
+
+    # Create skill directory
+    try:
+        skill_dir.mkdir(parents=True, exist_ok=False)
+        print(f"[OK] Created skill directory: {skill_dir}")
+    except Exception as e:
+        print(f"[ERROR] Error creating directory: {e}")
+        return None
+
+    # Create SKILL.md from template
+    skill_title = title_case_skill_name(skill_name)
+    skill_content = SKILL_TEMPLATE.format(skill_name=skill_name, skill_title=skill_title)
+
+    skill_md_path = skill_dir / "SKILL.md"
+    try:
+        skill_md_path.write_text(skill_content)
+        print("[OK] Created SKILL.md")
+    except Exception as e:
+        print(f"[ERROR] Error creating SKILL.md: {e}")
+        return None
+
+    # Create resource directories if requested
+    if resources:
+        try:
+            create_resource_dirs(skill_dir, skill_name, skill_title, resources, include_examples)
+        except Exception as e:
+            print(f"[ERROR] Error creating resource directories: {e}")
+            return None
+
+    # Print next steps
+    print(f"\n[OK] Skill '{skill_name}' initialized successfully at {skill_dir}")
+    print("\nNext steps:")
+    print("1. Edit SKILL.md to complete the TODO items and update the description")
+    if resources:
+        if include_examples:
+            print("2. Customize or delete the example files in scripts/, references/, and assets/")
+        else:
+            print("2. Add resources to scripts/, references/, and assets/ as needed")
+    else:
+        print("2. Create resource directories only if needed (scripts/, references/, assets/)")
+    print("3. Run the validator when ready to check the skill structure")
+
+    return skill_dir
+
+
+def main():
+    parser = argparse.ArgumentParser(
+        description="Create a new skill directory with a SKILL.md template.",
+    )
+    parser.add_argument("skill_name", help="Skill name (normalized to hyphen-case)")
+    parser.add_argument("--path", required=True, help="Output directory for the skill")
+    parser.add_argument(
+        "--resources",
+        default="",
+        help="Comma-separated list: scripts,references,assets",
+    )
+    parser.add_argument(
+        "--examples",
+        action="store_true",
+        help="Create example files inside the selected resource directories",
+    )
+    args = parser.parse_args()
+
+    raw_skill_name = args.skill_name
+    skill_name = normalize_skill_name(raw_skill_name)
+    if not skill_name:
+        print("[ERROR] Skill name must include at least one letter or digit.")
+        sys.exit(1)
+    if len(skill_name) > MAX_SKILL_NAME_LENGTH:
+        print(
+            f"[ERROR] Skill name '{skill_name}' is too long ({len(skill_name)} characters). "
+            f"Maximum is {MAX_SKILL_NAME_LENGTH} characters."
+        )
+        sys.exit(1)
+    if skill_name != raw_skill_name:
+        print(f"Note: Normalized skill name from '{raw_skill_name}' to '{skill_name}'.")
+
+    resources = parse_resources(args.resources)
+    if args.examples and not resources:
+        print("[ERROR] --examples requires --resources to be set.")
+        sys.exit(1)
+
+    path = args.path
+
+    print(f"Initializing skill: {skill_name}")
+    print(f"   Location: {path}")
+    if resources:
+        print(f"   Resources: {', '.join(resources)}")
+        if args.examples:
+            print("   Examples: enabled")
+    else:
+        print("   Resources: none (create as needed)")
+    print()
+
+    result = init_skill(skill_name, path, resources, args.examples)
+
+    if result:
+        sys.exit(0)
+    else:
+        sys.exit(1)
+
+
+if __name__ == "__main__":
+    main()

nanobot/skills/skill-creator/scripts/package_skill.py

@@ -0,0 +1,154 @@
+#!/usr/bin/env python3
+"""
+Skill Packager - Creates a distributable .skill file of a skill folder
+
+Usage:
+    python package_skill.py <path/to/skill-folder> [output-directory]
+
+Example:
+    python package_skill.py skills/public/my-skill
+    python package_skill.py skills/public/my-skill ./dist
+"""
+
+import sys
+import zipfile
+from pathlib import Path
+
+from quick_validate import validate_skill
+
+
+def _is_within(path: Path, root: Path) -> bool:
+    try:
+        path.relative_to(root)
+        return True
+    except ValueError:
+        return False
+
+
+def _cleanup_partial_archive(skill_filename: Path) -> None:
+    try:
+        if skill_filename.exists():
+            skill_filename.unlink()
+    except OSError:
+        pass
+
+
+def package_skill(skill_path, output_dir=None):
+    """
+    Package a skill folder into a .skill file.
+
+    Args:
+        skill_path: Path to the skill folder
+        output_dir: Optional output directory for the .skill file (defaults to current directory)
+
+    Returns:
+        Path to the created .skill file, or None if error
+    """
+    skill_path = Path(skill_path).resolve()
+
+    # Validate skill folder exists
+    if not skill_path.exists():
+        print(f"[ERROR] Skill folder not found: {skill_path}")
+        return None
+
+    if not skill_path.is_dir():
+        print(f"[ERROR] Path is not a directory: {skill_path}")
+        return None
+
+    # Validate SKILL.md exists
+    skill_md = skill_path / "SKILL.md"
+    if not skill_md.exists():
+        print(f"[ERROR] SKILL.md not found in {skill_path}")
+        return None
+
+    # Run validation before packaging
+    print("Validating skill...")
+    valid, message = validate_skill(skill_path)
+    if not valid:
+        print(f"[ERROR] Validation failed: {message}")
+        print("   Please fix the validation errors before packaging.")
+        return None
+    print(f"[OK] {message}\n")
+
+    # Determine output location
+    skill_name = skill_path.name
+    if output_dir:
+        output_path = Path(output_dir).resolve()
+        output_path.mkdir(parents=True, exist_ok=True)
+    else:
+        output_path = Path.cwd()
+
+    skill_filename = output_path / f"{skill_name}.skill"
+
+    EXCLUDED_DIRS = {".git", ".svn", ".hg", "__pycache__", "node_modules"}
+
+    files_to_package = []
+    resolved_archive = skill_filename.resolve()
+
+    for file_path in skill_path.rglob("*"):
+        # Fail closed on symlinks so the packaged contents are explicit and predictable.
+        if file_path.is_symlink():
+            print(f"[ERROR] Symlink not allowed in packaged skill: {file_path}")
+            _cleanup_partial_archive(skill_filename)
+            return None
+
+        rel_parts = file_path.relative_to(skill_path).parts
+        if any(part in EXCLUDED_DIRS for part in rel_parts):
+            continue
+
+        if file_path.is_file():
+            resolved_file = file_path.resolve()
+            if not _is_within(resolved_file, skill_path):
+                print(f"[ERROR] File escapes skill root: {file_path}")
+                _cleanup_partial_archive(skill_filename)
+                return None
+            # If output lives under skill_path, avoid writing archive into itself.
+            if resolved_file == resolved_archive:
+                print(f"[WARN] Skipping output archive: {file_path}")
+                continue
+            files_to_package.append(file_path)
+
+    # Create the .skill file (zip format)
+    try:
+        with zipfile.ZipFile(skill_filename, "w", zipfile.ZIP_DEFLATED) as zipf:
+            for file_path in files_to_package:
+                # Calculate the relative path within the zip.
+                arcname = Path(skill_name) / file_path.relative_to(skill_path)
+                zipf.write(file_path, arcname)
+                print(f"  Added: {arcname}")
+
+        print(f"\n[OK] Successfully packaged skill to: {skill_filename}")
+        return skill_filename
+
+    except Exception as e:
+        _cleanup_partial_archive(skill_filename)
+        print(f"[ERROR] Error creating .skill file: {e}")
+        return None
+
+
+def main():
+    if len(sys.argv) < 2:
+        print("Usage: python package_skill.py <path/to/skill-folder> [output-directory]")
+        print("\nExample:")
+        print("  python package_skill.py skills/public/my-skill")
+        print("  python package_skill.py skills/public/my-skill ./dist")
+        sys.exit(1)
+
+    skill_path = sys.argv[1]
+    output_dir = sys.argv[2] if len(sys.argv) > 2 else None
+
+    print(f"Packaging skill: {skill_path}")
+    if output_dir:
+        print(f"   Output directory: {output_dir}")
+    print()
+
+    result = package_skill(skill_path, output_dir)
+
+    if result:
+        sys.exit(0)
+    else:
+        sys.exit(1)
+
+
+if __name__ == "__main__":
+    main()

nanobot/skills/skill-creator/scripts/quick_validate.py

@@ -0,0 +1,213 @@
+#!/usr/bin/env python3
+"""
+Minimal validator for nanobot skill folders.
+"""
+
+import re
+import sys
+from pathlib import Path
+from typing import Optional
+
+try:
+    import yaml
+except ModuleNotFoundError:
+    yaml = None
+
+MAX_SKILL_NAME_LENGTH = 64
+ALLOWED_FRONTMATTER_KEYS = {
+    "name",
+    "description",
+    "metadata",
+    "always",
+    "license",
+    "allowed-tools",
+}
+ALLOWED_RESOURCE_DIRS = {"scripts", "references", "assets"}
+PLACEHOLDER_MARKERS = ("[todo", "todo:")
+
+
+def _extract_frontmatter(content: str) -> Optional[str]:
+    lines = content.splitlines()
+    if not lines or lines[0].strip() != "---":
+        return None
+    for i in range(1, len(lines)):
+        if lines[i].strip() == "---":
+            return "\n".join(lines[1:i])
+    return None
+
+
+def _parse_simple_frontmatter(frontmatter_text: str) -> Optional[dict[str, str]]:
+    """Fallback parser for simple frontmatter when PyYAML is unavailable."""
+    parsed: dict[str, str] = {}
+    current_key: Optional[str] = None
+    multiline_key: Optional[str] = None
+
+    for raw_line in frontmatter_text.splitlines():
+        stripped = raw_line.strip()
+        if not stripped or stripped.startswith("#"):
+            continue
+
+        is_indented = raw_line[:1].isspace()
+        if is_indented:
+            if current_key is None:
+                return None
+            current_value = parsed[current_key]
+            parsed[current_key] = f"{current_value}\n{stripped}" if current_value else stripped
+            continue
+
+        if ":" not in stripped:
+            return None
+
+        key, value = stripped.split(":", 1)
+        key = key.strip()
+        value = value.strip()
+        if not key:
+            return None
+
+        if value in {"|", ">"}:
+            parsed[key] = ""
+            current_key = key
+            multiline_key = key
+            continue
+
+        if (value.startswith('"') and value.endswith('"')) or (
+            value.startswith("'") and value.endswith("'")
+        ):
+            value = value[1:-1]
+        parsed[key] = value
+        current_key = key
+        multiline_key = None
+
+    if multiline_key is not None and multiline_key not in parsed:
+        return None
+    return parsed
+
+
+def _load_frontmatter(frontmatter_text: str) -> tuple[Optional[dict], Optional[str]]:
+    if yaml is not None:
+        try:
+            frontmatter = yaml.safe_load(frontmatter_text)
+        except yaml.YAMLError as exc:
+            return None, f"Invalid YAML in frontmatter: {exc}"
+        if not isinstance(frontmatter, dict):
+            return None, "Frontmatter must be a YAML dictionary"
+        return frontmatter, None
+
+    frontmatter = _parse_simple_frontmatter(frontmatter_text)
+    if frontmatter is None:
+        return None, "Invalid YAML in frontmatter: unsupported syntax without PyYAML installed"
+    return frontmatter, None
+
+
+def _validate_skill_name(name: str, folder_name: str) -> Optional[str]:
+    if not re.fullmatch(r"[a-z0-9]+(?:-[a-z0-9]+)*", name):
+        return (
+            f"Name '{name}' should be hyphen-case "
+            "(lowercase letters, digits, and single hyphens only)"
+        )
+    if len(name) > MAX_SKILL_NAME_LENGTH:
+        return (
+            f"Name is too long ({len(name)} characters). "
+            f"Maximum is {MAX_SKILL_NAME_LENGTH} characters."
+        )
+    if name != folder_name:
+        return f"Skill name '{name}' must match directory name '{folder_name}'"
+    return None
+
+
+def _validate_description(description: str) -> Optional[str]:
+    trimmed = description.strip()
+    if not trimmed:
+        return "Description cannot be empty"
+    lowered = trimmed.lower()
+    if any(marker in lowered for marker in PLACEHOLDER_MARKERS):
+        return "Description still contains TODO placeholder text"
+    if "<" in trimmed or ">" in trimmed:
+        return "Description cannot contain angle brackets (< or >)"
+    if len(trimmed) > 1024:
+        return f"Description is too long ({len(trimmed)} characters). Maximum is 1024 characters."
+    return None
+
+
+def validate_skill(skill_path):
+    """Validate a skill folder structure and required frontmatter."""
+    skill_path = Path(skill_path).resolve()
+
+    if not skill_path.exists():
+        return False, f"Skill folder not found: {skill_path}"
+    if not skill_path.is_dir():
+        return False, f"Path is not a directory: {skill_path}"
+
+    skill_md = skill_path / "SKILL.md"
+    if not skill_md.exists():
+        return False, "SKILL.md not found"
+
+    try:
+        content = skill_md.read_text(encoding="utf-8")
+    except OSError as exc:
+        return False, f"Could not read SKILL.md: {exc}"
+
+    frontmatter_text = _extract_frontmatter(content)
+    if frontmatter_text is None:
+        return False, "Invalid frontmatter format"
+
+    frontmatter, error = _load_frontmatter(frontmatter_text)
+    if error:
+        return False, error
+
+    unexpected_keys = sorted(set(frontmatter.keys()) - ALLOWED_FRONTMATTER_KEYS)
+    if unexpected_keys:
+        allowed = ", ".join(sorted(ALLOWED_FRONTMATTER_KEYS))
+        unexpected = ", ".join(unexpected_keys)
+        return (
+            False,
+            f"Unexpected key(s) in SKILL.md frontmatter: {unexpected}. Allowed properties are: {allowed}",
+        )
+
+    if "name" not in frontmatter:
+        return False, "Missing 'name' in frontmatter"
+    if "description" not in frontmatter:
+        return False, "Missing 'description' in frontmatter"
+
+    name = frontmatter["name"]
+    if not isinstance(name, str):
+        return False, f"Name must be a string, got {type(name).__name__}"
+    name_error = _validate_skill_name(name.strip(), skill_path.name)
+    if name_error:
+        return False, name_error
+
+    description = frontmatter["description"]
+    if not isinstance(description, str):
+        return False, f"Description must be a string, got {type(description).__name__}"
+    description_error = _validate_description(description)
+    if description_error:
+        return False, description_error
+
+    always = frontmatter.get("always")
+    if always is not None and not isinstance(always, bool):
+        return False, f"'always' must be a boolean, got {type(always).__name__}"
+
+    for child in skill_path.iterdir():
+        if child.name == "SKILL.md":
+            continue
+        if child.is_dir() and child.name in ALLOWED_RESOURCE_DIRS:
+            continue
+        if child.is_symlink():
+            continue
+        return (
+            False,
+            f"Unexpected file or directory in skill root: {child.name}. "
+            "Only SKILL.md, scripts/, references/, and assets/ are allowed.",
+        )
+
+    return True, "Skill is valid!"
+
+
+if __name__ == "__main__":
+    if len(sys.argv) != 2:
+        print("Usage: python quick_validate.py <skill_directory>")
+        sys.exit(1)
+
+    valid, message = validate_skill(sys.argv[1])
+    print(message)
+    sys.exit(0 if valid else 1)

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "nanobot-ai"
-version = "0.1.4.post3"
+version = "0.1.4.post4"
 description = "A lightweight personal AI assistant framework"
 requires-python = ">=3.11"
 license = {text = "MIT"}

tests/test_commands.py

@@ -327,7 +327,6 @@ def test_gateway_workspace_option_overrides_config(monkeypatch, tmp_path: Path)
     assert seen["workspace"] == override
     assert config.workspace_path == override
 
-
 def test_gateway_uses_config_directory_for_cron_store(monkeypatch, tmp_path: Path) -> None:
     config_file = tmp_path / "instance" / "config.json"
     config_file.parent.mkdir(parents=True)
@@ -356,3 +355,47 @@ def test_gateway_uses_config_directory_for_cron_store(monkeypatch, tmp_path: Pat
 
     assert isinstance(result.exception, _StopGateway)
     assert seen["cron_store"] == config_file.parent / "cron" / "jobs.json"
+
+
+def test_gateway_uses_configured_port_when_cli_flag_is_missing(monkeypatch, tmp_path: Path) -> None:
+    config_file = tmp_path / "instance" / "config.json"
+    config_file.parent.mkdir(parents=True)
+    config_file.write_text("{}")
+
+    config = Config()
+    config.gateway.port = 18791
+
+    monkeypatch.setattr("nanobot.config.loader.set_config_path", lambda _path: None)
+    monkeypatch.setattr("nanobot.config.loader.load_config", lambda _path=None: config)
+    monkeypatch.setattr("nanobot.cli.commands.sync_workspace_templates", lambda _path: None)
+    monkeypatch.setattr(
+        "nanobot.cli.commands._make_provider",
+        lambda _config: (_ for _ in ()).throw(_StopGateway("stop")),
+    )
+
+    result = runner.invoke(app, ["gateway", "--config", str(config_file)])
+
+    assert isinstance(result.exception, _StopGateway)
+    assert "port 18791" in result.stdout
+
+
+def test_gateway_cli_port_overrides_configured_port(monkeypatch, tmp_path: Path) -> None:
+    config_file = tmp_path / "instance" / "config.json"
+    config_file.parent.mkdir(parents=True)
+    config_file.write_text("{}")
+
+    config = Config()
+    config.gateway.port = 18791
+
+    monkeypatch.setattr("nanobot.config.loader.set_config_path", lambda _path: None)
+    monkeypatch.setattr("nanobot.config.loader.load_config", lambda _path=None: config)
+    monkeypatch.setattr("nanobot.cli.commands.sync_workspace_templates", lambda _path: None)
+    monkeypatch.setattr(
+        "nanobot.cli.commands._make_provider",
+        lambda _config: (_ for _ in ()).throw(_StopGateway("stop")),
+    )
+
+    result = runner.invoke(app, ["gateway", "--config", str(config_file), "--port", "18792"])
+
+    assert isinstance(result.exception, _StopGateway)
+    assert "port 18792" in result.stdout

tests/test_context_prompt_cache.py

@@ -3,6 +3,7 @@
 from __future__ import annotations
 
 from datetime import datetime as real_datetime
+from importlib.resources import files as pkg_files
 from pathlib import Path
 import datetime as datetime_module
 
@@ -23,6 +24,13 @@ def _make_workspace(tmp_path: Path) -> Path:
     return workspace
 
 
+def test_bootstrap_files_are_backed_by_templates() -> None:
+    template_dir = pkg_files("nanobot") / "templates"
+
+    for filename in ContextBuilder.BOOTSTRAP_FILES:
+        assert (template_dir / filename).is_file(), f"missing bootstrap template: {filename}"
+
+
 def test_system_prompt_stays_stable_when_clock_changes(tmp_path, monkeypatch) -> None:
     """System prompt should not change just because wall clock minute changes."""
     monkeypatch.setattr(datetime_module, "datetime", _FakeDatetime)

tests/test_heartbeat_service.py

@@ -3,18 +3,24 @@ import asyncio
 import pytest
 
 from nanobot.heartbeat.service import HeartbeatService
-from nanobot.providers.base import LLMResponse, ToolCallRequest
+from nanobot.providers.base import LLMProvider, LLMResponse, ToolCallRequest
 
 
-class DummyProvider:
+class DummyProvider(LLMProvider):
     def __init__(self, responses: list[LLMResponse]):
+        super().__init__()
         self._responses = list(responses)
+        self.calls = 0
 
     async def chat(self, *args, **kwargs) -> LLMResponse:
+        self.calls += 1
         if self._responses:
             return self._responses.pop(0)
         return LLMResponse(content="", tool_calls=[])
 
+    def get_default_model(self) -> str:
+        return "test-model"
+
 
 @pytest.mark.asyncio
 async def test_start_is_idempotent(tmp_path) -> None:
@@ -115,3 +121,40 @@ async def test_trigger_now_returns_none_when_decision_is_skip(tmp_path) -> None:
     )
 
     assert await service.trigger_now() is None
+
+
+@pytest.mark.asyncio
+async def test_decide_retries_transient_error_then_succeeds(tmp_path, monkeypatch) -> None:
+    provider = DummyProvider([
+        LLMResponse(content="429 rate limit", finish_reason="error"),
+        LLMResponse(
+            content="",
+            tool_calls=[
+                ToolCallRequest(
+                    id="hb_1",
+                    name="heartbeat",
+                    arguments={"action": "run", "tasks": "check open tasks"},
+                )
+            ],
+        ),
+    ])
+
+    delays: list[int] = []
+
+    async def _fake_sleep(delay: int) -> None:
+        delays.append(delay)
+
+    monkeypatch.setattr(asyncio, "sleep", _fake_sleep)
+
+    service = HeartbeatService(
+        workspace=tmp_path,
+        provider=provider,
+        model="openai/gpt-4o-mini",
+    )
+
+    action, tasks = await service._decide("heartbeat content")
+
+    assert action == "run"
+    assert tasks == "check open tasks"
+    assert provider.calls == 2
+    assert delays == [1]

tests/test_mcp_tool.py

@@ -0,0 +1,99 @@
+from __future__ import annotations
+
+import asyncio
+import sys
+from types import ModuleType, SimpleNamespace
+
+import pytest
+
+from nanobot.agent.tools.mcp import MCPToolWrapper
+
+
+class _FakeTextContent:
+    def __init__(self, text: str) -> None:
+        self.text = text
+
+
+@pytest.fixture(autouse=True)
+def _fake_mcp_module(monkeypatch: pytest.MonkeyPatch) -> None:
+    mod = ModuleType("mcp")
+    mod.types = SimpleNamespace(TextContent=_FakeTextContent)
+    monkeypatch.setitem(sys.modules, "mcp", mod)
+
+
+def _make_wrapper(session: object, *, timeout: float = 0.1) -> MCPToolWrapper:
+    tool_def = SimpleNamespace(
+        name="demo",
+        description="demo tool",
+        inputSchema={"type": "object", "properties": {}},
+    )
+    return MCPToolWrapper(session, "test", tool_def, tool_timeout=timeout)
+
+
+@pytest.mark.asyncio
+async def test_execute_returns_text_blocks() -> None:
+    async def call_tool(_name: str, arguments: dict) -> object:
+        assert arguments == {"value": 1}
+        return SimpleNamespace(content=[_FakeTextContent("hello"), 42])
+
+    wrapper = _make_wrapper(SimpleNamespace(call_tool=call_tool))
+
+    result = await wrapper.execute(value=1)
+
+    assert result == "hello\n42"
+
+
+@pytest.mark.asyncio
+async def test_execute_returns_timeout_message() -> None:
+    async def call_tool(_name: str, arguments: dict) -> object:
+        await asyncio.sleep(1)
+        return SimpleNamespace(content=[])
+
+    wrapper = _make_wrapper(SimpleNamespace(call_tool=call_tool), timeout=0.01)
+
+    result = await wrapper.execute()
+
+    assert result == "(MCP tool call timed out after 0.01s)"
+
+
+@pytest.mark.asyncio
+async def test_execute_handles_server_cancelled_error() -> None:
+    async def call_tool(_name: str, arguments: dict) -> object:
+        raise asyncio.CancelledError()
+
+    wrapper = _make_wrapper(SimpleNamespace(call_tool=call_tool))
+
+    result = await wrapper.execute()
+
+    assert result == "(MCP tool call was cancelled)"
+
+
+@pytest.mark.asyncio
+async def test_execute_re_raises_external_cancellation() -> None:
+    started = asyncio.Event()
+
+    async def call_tool(_name: str, arguments: dict) -> object:
+        started.set()
+        await asyncio.sleep(60)
+        return SimpleNamespace(content=[])
+
+    wrapper = _make_wrapper(SimpleNamespace(call_tool=call_tool), timeout=10)
+    task = asyncio.create_task(wrapper.execute())
+    await started.wait()
+
+    task.cancel()
+
+    with pytest.raises(asyncio.CancelledError):
+        await task
+
+
+@pytest.mark.asyncio
+async def test_execute_handles_generic_exception() -> None:
+    async def call_tool(_name: str, arguments: dict) -> object:
+        raise RuntimeError("boom")
+
+    wrapper = _make_wrapper(SimpleNamespace(call_tool=call_tool))
+
+    result = await wrapper.execute()
+
+    assert result == "(MCP tool call failed: RuntimeError)"

tests/test_memory_consolidation_types.py

@@ -12,7 +12,7 @@ from unittest.mock import AsyncMock, MagicMock
 import pytest
 
 from nanobot.agent.memory import MemoryStore
-from nanobot.providers.base import LLMResponse, ToolCallRequest
+from nanobot.providers.base import LLMProvider, LLMResponse, ToolCallRequest
 
 
 def _make_session(message_count: int = 30, memory_window: int = 50):
@@ -43,6 +43,22 @@ def _make_tool_response(history_entry, memory_update):
     )
 
 
+class ScriptedProvider(LLMProvider):
+    def __init__(self, responses: list[LLMResponse]):
+        super().__init__()
+        self._responses = list(responses)
+        self.calls = 0
+
+    async def chat(self, *args, **kwargs) -> LLMResponse:
+        self.calls += 1
+        if self._responses:
+            return self._responses.pop(0)
+        return LLMResponse(content="", tool_calls=[])
+
+    def get_default_model(self) -> str:
+        return "test-model"
+
+
 class TestMemoryConsolidationTypeHandling:
     """Test that consolidation handles various argument types correctly."""
 
@@ -57,6 +73,7 @@ class TestMemoryConsolidationTypeHandling:
                 memory_update="# Memory\nUser likes testing.",
             )
         )
+        provider.chat_with_retry = provider.chat
         session = _make_session(message_count=60)
 
         result = await store.consolidate(session, provider, "test-model", memory_window=50)
@@ -77,6 +94,7 @@ class TestMemoryConsolidationTypeHandling:
                 memory_update={"facts": ["User likes testing"], "topics": ["testing"]},
             )
         )
+        provider.chat_with_retry = provider.chat
         session = _make_session(message_count=60)
 
         result = await store.consolidate(session, provider, "test-model", memory_window=50)
@@ -112,6 +130,7 @@ class TestMemoryConsolidationTypeHandling:
             ],
         )
         provider.chat = AsyncMock(return_value=response)
+        provider.chat_with_retry = provider.chat
         session = _make_session(message_count=60)
 
         result = await store.consolidate(session, provider, "test-model", memory_window=50)
@@ -127,6 +146,7 @@ class TestMemoryConsolidationTypeHandling:
         provider.chat = AsyncMock(
             return_value=LLMResponse(content="I summarized the conversation.", tool_calls=[])
         )
+        provider.chat_with_retry = provider.chat
         session = _make_session(message_count=60)
 
         result = await store.consolidate(session, provider, "test-model", memory_window=50)
@@ -139,6 +159,7 @@ class TestMemoryConsolidationTypeHandling:
         """Consolidation should be a no-op when messages < keep_count."""
         store = MemoryStore(tmp_path)
         provider = AsyncMock()
+        provider.chat_with_retry = provider.chat
         session = _make_session(message_count=10)
 
         result = await store.consolidate(session, provider, "test-model", memory_window=50)
@@ -167,6 +188,7 @@ class TestMemoryConsolidationTypeHandling:
             ],
         )
         provider.chat = AsyncMock(return_value=response)
+        provider.chat_with_retry = provider.chat
         session = _make_session(message_count=60)
 
         result = await store.consolidate(session, provider, "test-model", memory_window=50)
@@ -192,6 +214,7 @@ class TestMemoryConsolidationTypeHandling:
             ],
         )
         provider.chat = AsyncMock(return_value=response)
+        provider.chat_with_retry = provider.chat
         session = _make_session(message_count=60)
 
         result = await store.consolidate(session, provider, "test-model", memory_window=50)
@@ -215,8 +238,33 @@ class TestMemoryConsolidationTypeHandling:
             ],
         )
         provider.chat = AsyncMock(return_value=response)
+        provider.chat_with_retry = provider.chat
         session = _make_session(message_count=60)
 
         result = await store.consolidate(session, provider, "test-model", memory_window=50)
 
         assert result is False
+
+    @pytest.mark.asyncio
+    async def test_retries_transient_error_then_succeeds(self, tmp_path: Path, monkeypatch) -> None:
+        store = MemoryStore(tmp_path)
+        provider = ScriptedProvider([
+            LLMResponse(content="503 server error", finish_reason="error"),
+            _make_tool_response(
+                history_entry="[2026-01-01] User discussed testing.",
+                memory_update="# Memory\nUser likes testing.",
+            ),
+        ])
+        session = _make_session(message_count=60)
+        delays: list[int] = []
+
+        async def _fake_sleep(delay: int) -> None:
+            delays.append(delay)
+
+        monkeypatch.setattr("nanobot.providers.base.asyncio.sleep", _fake_sleep)
+
+        result = await store.consolidate(session, provider, "test-model", memory_window=50)
+
+        assert result is True
+        assert provider.calls == 2
+        assert delays == [1]

tests/test_provider_retry.py

@@ -0,0 +1,92 @@
+import asyncio
+
+import pytest
+
+from nanobot.providers.base import LLMProvider, LLMResponse
+
+
+class ScriptedProvider(LLMProvider):
+    def __init__(self, responses):
+        super().__init__()
+        self._responses = list(responses)
+        self.calls = 0
+
+    async def chat(self, *args, **kwargs) -> LLMResponse:
+        self.calls += 1
+        response = self._responses.pop(0)
+        if isinstance(response, BaseException):
+            raise response
+        return response
+
+    def get_default_model(self) -> str:
+        return "test-model"
+
+
+@pytest.mark.asyncio
+async def test_chat_with_retry_retries_transient_error_then_succeeds(monkeypatch) -> None:
+    provider = ScriptedProvider([
+        LLMResponse(content="429 rate limit", finish_reason="error"),
+        LLMResponse(content="ok"),
+    ])
+    delays: list[int] = []
+
+    async def _fake_sleep(delay: int) -> None:
+        delays.append(delay)
+
+    monkeypatch.setattr("nanobot.providers.base.asyncio.sleep", _fake_sleep)
+
+    response = await provider.chat_with_retry(messages=[{"role": "user", "content": "hello"}])
+
+    assert response.finish_reason == "stop"
+    assert response.content == "ok"
+    assert provider.calls == 2
+    assert delays == [1]
+
+
+@pytest.mark.asyncio
+async def test_chat_with_retry_does_not_retry_non_transient_error(monkeypatch) -> None:
+    provider = ScriptedProvider([
+        LLMResponse(content="401 unauthorized", finish_reason="error"),
+    ])
+    delays: list[int] = []
+
+    async def _fake_sleep(delay: int) -> None:
+        delays.append(delay)
+
+    monkeypatch.setattr("nanobot.providers.base.asyncio.sleep", _fake_sleep)
+
+    response = await provider.chat_with_retry(messages=[{"role": "user", "content": "hello"}])
+
+    assert response.content == "401 unauthorized"
+    assert provider.calls == 1
+    assert delays == []
+
+
+@pytest.mark.asyncio
+async def test_chat_with_retry_returns_final_error_after_retries(monkeypatch) -> None:
+    provider = ScriptedProvider([
+        LLMResponse(content="429 rate limit a", finish_reason="error"),
+        LLMResponse(content="429 rate limit b", finish_reason="error"),
+        LLMResponse(content="429 rate limit c", finish_reason="error"),
+        LLMResponse(content="503 final server error", finish_reason="error"),
+    ])
+    delays: list[int] = []
+
+    async def _fake_sleep(delay: int) -> None:
+        delays.append(delay)
+
+    monkeypatch.setattr("nanobot.providers.base.asyncio.sleep", _fake_sleep)
+
+    response = await provider.chat_with_retry(messages=[{"role": "user", "content": "hello"}])
+
+    assert response.content == "503 final server error"
+    assert provider.calls == 4
+    assert delays == [1, 2, 4]
+
+
+@pytest.mark.asyncio
+async def test_chat_with_retry_preserves_cancelled_error() -> None:
+    provider = ScriptedProvider([asyncio.CancelledError()])
+
+    with pytest.raises(asyncio.CancelledError):
+        await provider.chat_with_retry(messages=[{"role": "user", "content": "hello"}])

tests/test_skill_creator_scripts.py

@@ -0,0 +1,127 @@
+import importlib
+import shutil
+import sys
+import zipfile
+from pathlib import Path
+
+
+SCRIPT_DIR = Path("nanobot/skills/skill-creator/scripts").resolve()
+if str(SCRIPT_DIR) not in sys.path:
+    sys.path.insert(0, str(SCRIPT_DIR))
+
+init_skill = importlib.import_module("init_skill")
+package_skill = importlib.import_module("package_skill")
+quick_validate = importlib.import_module("quick_validate")
+
+
+def test_init_skill_creates_expected_files(tmp_path: Path) -> None:
+    skill_dir = init_skill.init_skill(
+        "demo-skill",
+        tmp_path,
+        ["scripts", "references", "assets"],
+        include_examples=True,
+    )
+
+    assert skill_dir == tmp_path / "demo-skill"
+    assert (skill_dir / "SKILL.md").exists()
+    assert (skill_dir / "scripts" / "example.py").exists()
+    assert (skill_dir / "references" / "api_reference.md").exists()
+    assert (skill_dir / "assets" / "example_asset.txt").exists()
+
+
+def test_validate_skill_accepts_existing_skill_creator() -> None:
+    valid, message = quick_validate.validate_skill(
+        Path("nanobot/skills/skill-creator").resolve()
+    )
+
+    assert valid, message
+
+
+def test_validate_skill_rejects_placeholder_description(tmp_path: Path) -> None:
+    skill_dir = tmp_path / "placeholder-skill"
+    skill_dir.mkdir()
+    (skill_dir / "SKILL.md").write_text(
+        "---\n"
+        "name: placeholder-skill\n"
+        'description: "[TODO: fill me in]"\n'
+        "---\n"
+        "# Placeholder\n",
+        encoding="utf-8",
+    )
+
+    valid, message = quick_validate.validate_skill(skill_dir)
+
+    assert not valid
+    assert "TODO placeholder" in message
+
+
+def test_validate_skill_rejects_root_files_outside_allowed_dirs(tmp_path: Path) -> None:
+    skill_dir = tmp_path / "bad-root-skill"
+    skill_dir.mkdir()
+    (skill_dir / "SKILL.md").write_text(
+        "---\n"
+        "name: bad-root-skill\n"
+        "description: Valid description\n"
+        "---\n"
+        "# Skill\n",
+        encoding="utf-8",
+    )
+    (skill_dir / "README.md").write_text("extra\n", encoding="utf-8")
+
+    valid, message = quick_validate.validate_skill(skill_dir)
+
+    assert not valid
+    assert "Unexpected file or directory in skill root" in message
+
+
+def test_package_skill_creates_archive(tmp_path: Path) -> None:
+    skill_dir = tmp_path / "package-me"
+    skill_dir.mkdir()
+    (skill_dir / "SKILL.md").write_text(
+        "---\n"
+        "name: package-me\n"
+        "description: Package this skill.\n"
+        "---\n"
+        "# Skill\n",
+        encoding="utf-8",
+    )
+    scripts_dir = skill_dir / "scripts"
+    scripts_dir.mkdir()
+    (scripts_dir / "helper.py").write_text("print('ok')\n", encoding="utf-8")
+
+    archive_path = package_skill.package_skill(skill_dir, tmp_path / "dist")
+
+    assert archive_path == (tmp_path / "dist" / "package-me.skill")
+    assert archive_path.exists()
+    with zipfile.ZipFile(archive_path, "r") as archive:
+        names = set(archive.namelist())
+    assert "package-me/SKILL.md" in names
+    assert "package-me/scripts/helper.py" in names
+
+
+def test_package_skill_rejects_symlink(tmp_path: Path) -> None:
+    skill_dir = tmp_path / "symlink-skill"
+    skill_dir.mkdir()
+    (skill_dir / "SKILL.md").write_text(
+        "---\n"
+        "name: symlink-skill\n"
+        "description: Reject symlinks during packaging.\n"
+        "---\n"
+        "# Skill\n",
+        encoding="utf-8",
+    )
+    scripts_dir = skill_dir / "scripts"
+    scripts_dir.mkdir()
+    target = tmp_path / "outside.txt"
+    target.write_text("secret\n", encoding="utf-8")
+    link = scripts_dir / "outside.txt"
+
+    try:
+        link.symlink_to(target)
+    except (OSError, NotImplementedError):
+        return
+
+    archive_path = package_skill.package_skill(skill_dir, tmp_path / "dist")
+
+    assert archive_path is None
+    assert not (tmp_path / "dist" / "symlink-skill.skill").exists()

tests/test_slack_channel.py

@@ -0,0 +1,90 @@
+from __future__ import annotations
+
+import pytest
+
+from nanobot.bus.events import OutboundMessage
+from nanobot.bus.queue import MessageBus
+from nanobot.channels.slack import SlackChannel
+from nanobot.config.schema import SlackConfig
+
+
+class _FakeAsyncWebClient:
+    def __init__(self) -> None:
+        self.chat_post_calls: list[dict[str, object | None]] = []
+        self.file_upload_calls: list[dict[str, object | None]] = []
+
+    async def chat_postMessage(
+        self,
+        *,
+        channel: str,
+        text: str,
+        thread_ts: str | None = None,
+    ) -> None:
+        self.chat_post_calls.append(
+            {
+                "channel": channel,
+                "text": text,
+                "thread_ts": thread_ts,
+            }
+        )
+
+    async def files_upload_v2(
+        self,
+        *,
+        channel: str,
+        file: str,
+        thread_ts: str | None = None,
+    ) -> None:
+        self.file_upload_calls.append(
+            {
+                "channel": channel,
+                "file": file,
+                "thread_ts": thread_ts,
+            }
+        )
+
+
+@pytest.mark.asyncio
+async def test_send_uses_thread_for_channel_messages() -> None:
+    channel = SlackChannel(SlackConfig(enabled=True), MessageBus())
+    fake_web = _FakeAsyncWebClient()
+    channel._web_client = fake_web
+
+    await channel.send(
+        OutboundMessage(
+            channel="slack",
+            chat_id="C123",
+            content="hello",
+            media=["/tmp/demo.txt"],
+            metadata={"slack": {"thread_ts": "1700000000.000100", "channel_type": "channel"}},
+        )
+    )
+
+    assert len(fake_web.chat_post_calls) == 1
+    assert fake_web.chat_post_calls[0]["text"] == "hello\n"
+    assert fake_web.chat_post_calls[0]["thread_ts"] == "1700000000.000100"
+    assert len(fake_web.file_upload_calls) == 1
+    assert fake_web.file_upload_calls[0]["thread_ts"] == "1700000000.000100"
+
+
+@pytest.mark.asyncio
+async def test_send_omits_thread_for_dm_messages() -> None:
+    channel = SlackChannel(SlackConfig(enabled=True), MessageBus())
+    fake_web = _FakeAsyncWebClient()
+    channel._web_client = fake_web
+
+    await channel.send(
+        OutboundMessage(
+            channel="slack",
+            chat_id="D123",
+            content="hello",
+            media=["/tmp/demo.txt"],
+            metadata={"slack": {"thread_ts": "1700000000.000100", "channel_type": "im"}},
+        )
+    )
+
+    assert len(fake_web.chat_post_calls) == 1
+    assert fake_web.chat_post_calls[0]["text"] == "hello\n"
+    assert fake_web.chat_post_calls[0]["thread_ts"] is None
+    assert len(fake_web.file_upload_calls) == 1
+    assert fake_web.file_upload_calls[0]["thread_ts"] is None

tests/test_telegram_channel.py

@@ -27,9 +27,11 @@ class _FakeUpdater:
 class _FakeBot:
     def __init__(self) -> None:
         self.sent_messages: list[dict] = []
+        self.get_me_calls = 0
 
     async def get_me(self):
-        return SimpleNamespace(username="nanobot_test")
+        self.get_me_calls += 1
+        return SimpleNamespace(id=999, username="nanobot_test")
 
     async def set_my_commands(self, commands) -> None:
         self.commands = commands
@@ -37,6 +39,9 @@ class _FakeBot:
     async def send_message(self, **kwargs) -> None:
         self.sent_messages.append(kwargs)
 
+    async def send_chat_action(self, **kwargs) -> None:
+        pass
+
 
 class _FakeApp:
     def __init__(self, on_start_polling) -> None:
@@ -87,6 +92,35 @@ class _FakeBuilder:
         return self.app
 
 
+def _make_telegram_update(
+    *,
+    chat_type: str = "group",
+    text: str | None = None,
+    caption: str | None = None,
+    entities=None,
+    caption_entities=None,
+    reply_to_message=None,
+):
+    user = SimpleNamespace(id=12345, username="alice", first_name="Alice")
+    message = SimpleNamespace(
+        chat=SimpleNamespace(type=chat_type, is_forum=False),
+        chat_id=-100123,
+        text=text,
+        caption=caption,
+        entities=entities or [],
+        caption_entities=caption_entities or [],
+        reply_to_message=reply_to_message,
+        photo=None,
+        voice=None,
+        audio=None,
+        document=None,
+        media_group_id=None,
+        message_thread_id=None,
+        message_id=1,
+    )
+    return SimpleNamespace(message=message, effective_user=user)
+
+
 @pytest.mark.asyncio
 async def test_start_uses_request_proxy_without_builder_proxy(monkeypatch) -> None:
     config = TelegramConfig(
@@ -131,6 +165,10 @@ def test_get_extension_falls_back_to_original_filename() -> None:
     assert channel._get_extension("file", None, "archive.tar.gz") == ".tar.gz"
 
 
+def test_telegram_group_policy_defaults_to_mention() -> None:
+    assert TelegramConfig().group_policy == "mention"
+
+
 def test_is_allowed_accepts_legacy_telegram_id_username_formats() -> None:
     channel = TelegramChannel(TelegramConfig(allow_from=["12345", "alice", "67890|bob"]), MessageBus())
 
@@ -182,3 +220,119 @@ async def test_send_reply_infers_topic_from_message_id_cache() -> None:
 
     assert channel._app.bot.sent_messages[0]["message_thread_id"] == 42
     assert channel._app.bot.sent_messages[0]["reply_parameters"].message_id == 10
+
+
+@pytest.mark.asyncio
+async def test_group_policy_mention_ignores_unmentioned_group_message() -> None:
+    channel = TelegramChannel(
+        TelegramConfig(enabled=True, token="123:abc", allow_from=["*"], group_policy="mention"),
+        MessageBus(),
+    )
+    channel._app = _FakeApp(lambda: None)
+
+    handled = []
+
+    async def capture_handle(**kwargs) -> None:
+        handled.append(kwargs)
+
+    channel._handle_message = capture_handle
+    channel._start_typing = lambda _chat_id: None
+
+    await channel._on_message(_make_telegram_update(text="hello everyone"), None)
+
+    assert handled == []
+    assert channel._app.bot.get_me_calls == 1
+
+
+@pytest.mark.asyncio
+async def test_group_policy_mention_accepts_text_mention_and_caches_bot_identity() -> None:
+    channel = TelegramChannel(
+        TelegramConfig(enabled=True, token="123:abc", allow_from=["*"], group_policy="mention"),
+        MessageBus(),
+    )
+    channel._app = _FakeApp(lambda: None)
+
+    handled = []
+
+    async def capture_handle(**kwargs) -> None:
+        handled.append(kwargs)
+
+    channel._handle_message = capture_handle
+    channel._start_typing = lambda _chat_id: None
+
+    mention = SimpleNamespace(type="mention", offset=0, length=13)
+    await channel._on_message(_make_telegram_update(text="@nanobot_test hi", entities=[mention]), None)
+    await channel._on_message(_make_telegram_update(text="@nanobot_test again", entities=[mention]), None)
+
+    assert len(handled) == 2
+    assert channel._app.bot.get_me_calls == 1
+
+
+@pytest.mark.asyncio
+async def test_group_policy_mention_accepts_caption_mention() -> None:
+    channel = TelegramChannel(
+        TelegramConfig(enabled=True, token="123:abc", allow_from=["*"], group_policy="mention"),
+        MessageBus(),
+    )
+    channel._app = _FakeApp(lambda: None)
+
+    handled = []
+
+    async def capture_handle(**kwargs) -> None:
+        handled.append(kwargs)
+
+    channel._handle_message = capture_handle
+    channel._start_typing = lambda _chat_id: None
+
+    mention = SimpleNamespace(type="mention", offset=0, length=13)
+    await channel._on_message(
+        _make_telegram_update(caption="@nanobot_test photo", caption_entities=[mention]),
+        None,
+    )
+
+    assert len(handled) == 1
+    assert handled[0]["content"] == "@nanobot_test photo"
+
+
+@pytest.mark.asyncio
+async def test_group_policy_mention_accepts_reply_to_bot() -> None:
+    channel = TelegramChannel(
+        TelegramConfig(enabled=True, token="123:abc", allow_from=["*"], group_policy="mention"),
+        MessageBus(),
+    )
+    channel._app = _FakeApp(lambda: None)
+
+    handled = []
+
+    async def capture_handle(**kwargs) -> None:
+        handled.append(kwargs)
+
+    channel._handle_message = capture_handle
+    channel._start_typing = lambda _chat_id: None
+
+    reply = SimpleNamespace(from_user=SimpleNamespace(id=999))
+    await channel._on_message(_make_telegram_update(text="reply", reply_to_message=reply), None)
+
+    assert len(handled) == 1
+
+
+@pytest.mark.asyncio
+async def test_group_policy_open_accepts_plain_group_message() -> None:
+    channel = TelegramChannel(
+        TelegramConfig(enabled=True, token="123:abc", allow_from=["*"], group_policy="open"),
+        MessageBus(),
+    )
+    channel._app = _FakeApp(lambda: None)
+
+    handled = []
+
+    async def capture_handle(**kwargs) -> None:
+        handled.append(kwargs)
+
+    channel._handle_message = capture_handle
+    channel._start_typing = lambda _chat_id: None
+
+    await channel._on_message(_make_telegram_update(text="hello group"), None)
+
+    assert len(handled) == 1
+    assert channel._app.bot.get_me_calls == 0