refactor(agent): split slash commands and harden skill sync

AGENTS.md

@@ -40,8 +40,10 @@ Do not commit real API keys, tokens, chat logs, or workspace data. Keep local se
 - `channels.voiceReply` currently adds TTS attachments on supported outbound channels such as Telegram, and QQ when the configured TTS endpoint returns `silk`. Preserve plain-text fallback when QQ voice requirements are not met.
 - Voice replies should follow the active session persona. Build TTS style instructions from the resolved persona's prompt files, and allow optional persona-local overrides from `VOICE.json` under the persona workspace (`<workspace>/VOICE.json` for default, `<workspace>/personas/<name>/VOICE.json` for custom personas).
 - `channels.voiceReply.url` may override the TTS endpoint independently of the chat model provider. When omitted, fall back to the active conversation provider URL. Keep `apiBase` accepted as a compatibility alias.
-- `/skill` shells out to `npx clawhub@latest`; it requires Node.js/`npx` at runtime.
-- `/skill uninstall` runs in a non-interactive context, so keep passing `--yes` when shelling out to ClawHub.
+- `/skill search` queries `https://lightmake.site/api/skills` directly with SkillHub-compatible query params (`page`, `pageSize`, `sortBy`, `order`, `keyword`) and does not require Node.js.
+- `/skill` shells out to `npx clawhub@latest` for `install`, `list`, and `update`; those subcommands still require Node.js/`npx` at runtime.
+- Keep ClawHub global options first when shelling out: `--workdir <workspace> --no-input ...`.
+- `/skill uninstall` is local workspace cleanup, not a ClawHub subprocess call. Remove `<workspace>/skills/<slug>` and best-effort prune `<workspace>/.clawhub/lock.json`.
 - Treat empty `/skill search` output as a user-visible "no results" case rather than a silent success. Surface npm/registry failures directly to the user.
 - Never hardcode `~/.nanobot/workspace` for skill installation or lookup. Use the active runtime workspace from config or `--workspace`.
 - Workspace skills in `<workspace>/skills/` take precedence over built-in skills with the same directory name.

README.md

@@ -1603,7 +1603,7 @@ These commands are available inside chats handled by `nanobot agent` or `nanobot
 | `/persona set <name>` | Switch persona and start a new session |
 | `/skill search <query>` | Search public skills on ClawHub |
 | `/skill install <slug>` | Install a ClawHub skill into the active workspace |
-| `/skill uninstall <slug>` | Remove a ClawHub-managed skill from the active workspace |
+| `/skill uninstall <slug>` | Remove a locally installed workspace skill from the active workspace |
 | `/skill list` | List ClawHub-managed skills in the active workspace |
 | `/skill update` | Update all ClawHub-managed skills in the active workspace |
 | `/mcp [list]` | List configured MCP servers and registered MCP tools |
@@ -1616,10 +1616,20 @@ These commands are available inside chats handled by `nanobot agent` or `nanobot
 `~/.nanobot/workspace` path. If you start nanobot with `--workspace`, skill install/uninstall/list/update
 operate on that workspace's `skills/` directory.
 
+`/skill search` queries the live ClawHub registry API directly at
+`https://lightmake.site/api/skills` using the same sort order as the SkillHub web UI, so search
+does not depend on `npm` or `npx`.
+
+For `install`, `list`, and `update`, nanobot still shells out to `npx clawhub@latest`
+using ClawHub global options first: `--workdir <workspace> --no-input ...`. `/skill uninstall`
+removes the local `<workspace>/skills/<slug>` directory directly and best-effort prunes
+`<workspace>/.clawhub/lock.json`, because current ClawHub docs do not document an uninstall
+subcommand.
+
 `/skill search` can legitimately return no matches. In that case nanobot now replies with a
 clear "no skills found" message instead of leaving the channel on a transient searching state.
-If `npx clawhub@latest` cannot reach the npm registry, nanobot also surfaces the registry/network
-error directly so the failure is visible to the user.
+If the ClawHub registry API or `npx clawhub@latest` cannot be reached, nanobot also surfaces the
+underlying network or HTTP error directly so the failure is visible to the user.
 
 <details>
 <summary><b>Heartbeat (Periodic Tasks)</b></summary>

nanobot/agent/commands/__init__.py

@@ -0,0 +1,17 @@
+"""Command handlers for AgentLoop slash commands."""
+
+from nanobot.agent.commands.language import LanguageCommandHandler
+from nanobot.agent.commands.mcp import MCPCommandHandler
+from nanobot.agent.commands.persona import PersonaCommandHandler
+from nanobot.agent.commands.router import build_agent_command_router
+from nanobot.agent.commands.skill import SkillCommandHandler
+from nanobot.agent.commands.system import SystemCommandHandler
+
+__all__ = [
+    "LanguageCommandHandler",
+    "MCPCommandHandler",
+    "PersonaCommandHandler",
+    "SkillCommandHandler",
+    "SystemCommandHandler",
+    "build_agent_command_router",
+]

nanobot/agent/commands/language.py

@@ -0,0 +1,62 @@
+"""Language command helpers for AgentLoop."""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+from nanobot.agent.i18n import language_label, list_languages, normalize_language_code, text
+from nanobot.bus.events import InboundMessage, OutboundMessage
+
+if TYPE_CHECKING:
+    from nanobot.agent.loop import AgentLoop
+    from nanobot.session.manager import Session
+
+
+class LanguageCommandHandler:
+    """Encapsulates `/lang` subcommand behavior for AgentLoop."""
+
+    def __init__(self, loop: AgentLoop) -> None:
+        self.loop = loop
+
+    @staticmethod
+    def _response(msg: InboundMessage, content: str) -> OutboundMessage:
+        return OutboundMessage(channel=msg.channel, chat_id=msg.chat_id, content=content)
+
+    def current(self, msg: InboundMessage, session: Session) -> OutboundMessage:
+        current = self.loop._get_session_language(session)
+        return self._response(
+            msg,
+            text(current, "current_language", language_name=language_label(current, current)),
+        )
+
+    def list(self, msg: InboundMessage, session: Session) -> OutboundMessage:
+        current = self.loop._get_session_language(session)
+        items = "\n".join(
+            f"- {language_label(code, current)}"
+            + (f" ({text(current, 'current_marker')})" if code == current else "")
+            for code in list_languages()
+        )
+        return self._response(msg, text(current, "available_languages", items=items))
+
+    def set(self, msg: InboundMessage, session: Session, target_raw: str) -> OutboundMessage:
+        current = self.loop._get_session_language(session)
+        target = normalize_language_code(target_raw)
+        if target is None:
+            languages = ", ".join(language_label(code, current) for code in list_languages())
+            return self._response(
+                msg,
+                text(current, "unknown_language", name=target_raw, languages=languages),
+            )
+
+        if target == current:
+            return self._response(
+                msg,
+                text(current, "language_already_active", language_name=language_label(target, current)),
+            )
+
+        self.loop._set_session_language(session, target)
+        self.loop.sessions.save(session)
+        return self._response(
+            msg,
+            text(target, "switched_language", language_name=language_label(target, target)),
+        )

nanobot/agent/commands/mcp.py

@@ -0,0 +1,64 @@
+"""MCP command helpers for AgentLoop."""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+from nanobot.agent.i18n import text
+from nanobot.bus.events import InboundMessage, OutboundMessage
+
+if TYPE_CHECKING:
+    from nanobot.agent.loop import AgentLoop
+
+
+class MCPCommandHandler:
+    """Encapsulates `/mcp` subcommand behavior for AgentLoop."""
+
+    def __init__(self, loop: AgentLoop) -> None:
+        self.loop = loop
+
+    @staticmethod
+    def _response(msg: InboundMessage, content: str) -> OutboundMessage:
+        return OutboundMessage(channel=msg.channel, chat_id=msg.chat_id, content=content)
+
+    def _group_mcp_tool_names(self) -> dict[str, list[str]]:
+        """Group registered MCP tool names by configured server name."""
+        grouped = {name: [] for name in self.loop._mcp_servers}
+        server_names = sorted(self.loop._mcp_servers, key=len, reverse=True)
+
+        for tool_name in self.loop.tools.tool_names:
+            if not tool_name.startswith("mcp_"):
+                continue
+
+            for server_name in server_names:
+                prefix = f"mcp_{server_name}_"
+                if tool_name.startswith(prefix):
+                    grouped[server_name].append(tool_name.removeprefix(prefix))
+                    break
+
+        return {name: sorted(tools) for name, tools in grouped.items()}
+
+    async def list(self, msg: InboundMessage, language: str) -> OutboundMessage:
+        await self.loop._reload_mcp_servers_if_needed()
+
+        if not self.loop._mcp_servers:
+            return self._response(msg, text(language, "mcp_no_servers"))
+
+        await self.loop._connect_mcp()
+
+        server_lines = "\n".join(f"- {name}" for name in self.loop._mcp_servers)
+        sections = [text(language, "mcp_servers_list", items=server_lines)]
+
+        grouped_tools = self._group_mcp_tool_names()
+        tool_lines = "\n".join(
+            f"- {server}: {', '.join(tools)}"
+            for server, tools in grouped_tools.items()
+            if tools
+        )
+        sections.append(
+            text(language, "mcp_tools_list", items=tool_lines)
+            if tool_lines
+            else text(language, "mcp_no_tools")
+        )
+
+        return self._response(msg, "\n\n".join(sections))

nanobot/agent/commands/persona.py

@@ -0,0 +1,76 @@
+"""Persona command helpers for AgentLoop."""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+from loguru import logger
+
+from nanobot.agent.i18n import text
+from nanobot.bus.events import InboundMessage, OutboundMessage
+
+if TYPE_CHECKING:
+    from nanobot.agent.loop import AgentLoop
+    from nanobot.session.manager import Session
+
+
+class PersonaCommandHandler:
+    """Encapsulates `/persona` subcommand behavior for AgentLoop."""
+
+    def __init__(self, loop: AgentLoop) -> None:
+        self.loop = loop
+
+    @staticmethod
+    def _response(msg: InboundMessage, content: str) -> OutboundMessage:
+        return OutboundMessage(channel=msg.channel, chat_id=msg.chat_id, content=content)
+
+    def current(self, msg: InboundMessage, session: Session) -> OutboundMessage:
+        language = self.loop._get_session_language(session)
+        current = self.loop._get_session_persona(session)
+        return self._response(msg, text(language, "current_persona", persona=current))
+
+    def list(self, msg: InboundMessage, session: Session) -> OutboundMessage:
+        language = self.loop._get_session_language(session)
+        current = self.loop._get_session_persona(session)
+        marker = text(language, "current_marker")
+        personas = [
+            f"{name} ({marker})" if name == current else name
+            for name in self.loop.context.list_personas()
+        ]
+        return self._response(
+            msg,
+            text(language, "available_personas", items="\n".join(f"- {name}" for name in personas)),
+        )
+
+    async def set(self, msg: InboundMessage, session: Session, target_raw: str) -> OutboundMessage:
+        language = self.loop._get_session_language(session)
+        target = self.loop.context.find_persona(target_raw)
+        if target is None:
+            personas = ", ".join(self.loop.context.list_personas())
+            return self._response(
+                msg,
+                text(
+                    language,
+                    "unknown_persona",
+                    name=target_raw,
+                    personas=personas,
+                    path=self.loop.workspace / "personas" / target_raw,
+                ),
+            )
+
+        current = self.loop._get_session_persona(session)
+        if target == current:
+            return self._response(msg, text(language, "persona_already_active", persona=target))
+
+        try:
+            if not await self.loop.memory_consolidator.archive_unconsolidated(session):
+                return self._response(msg, text(language, "memory_archival_failed_persona"))
+        except Exception:
+            logger.exception("/persona archival failed for {}", session.key)
+            return self._response(msg, text(language, "memory_archival_failed_persona"))
+
+        session.clear()
+        self.loop._set_session_persona(session, target)
+        self.loop.sessions.save(session)
+        self.loop.sessions.invalidate(session.key)
+        return self._response(msg, text(language, "switched_persona", persona=target))

nanobot/agent/commands/router.py

@@ -0,0 +1,86 @@
+"""AgentLoop slash-command router registration."""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+from nanobot.command.router import CommandContext, CommandRouter
+
+if TYPE_CHECKING:
+    from nanobot.bus.events import OutboundMessage
+
+
+def _session(ctx: CommandContext):
+    return ctx.session or ctx.loop.sessions.get_or_create(ctx.key)
+
+
+async def _cmd_status(ctx: CommandContext) -> OutboundMessage:
+    session = _session(ctx)
+    return ctx.loop._system_commands.status(ctx.msg, session)
+
+
+async def _cmd_new(ctx: CommandContext) -> OutboundMessage:
+    session = _session(ctx)
+    language = ctx.loop._get_session_language(session)
+    return ctx.loop._system_commands.new_session(ctx.msg, session, language)
+
+
+async def _cmd_help(ctx: CommandContext) -> OutboundMessage:
+    session = _session(ctx)
+    language = ctx.loop._get_session_language(session)
+    return ctx.loop._system_commands.help(ctx.msg, language)
+
+
+async def _cmd_lang(ctx: CommandContext):
+    return await ctx.loop._handle_language_command(ctx.msg, _session(ctx))
+
+
+async def _cmd_persona(ctx: CommandContext):
+    return await ctx.loop._handle_persona_command(ctx.msg, _session(ctx))
+
+
+async def _cmd_skill(ctx: CommandContext):
+    return await ctx.loop._handle_skill_command(ctx.msg, _session(ctx))
+
+
+async def _cmd_mcp(ctx: CommandContext):
+    return await ctx.loop._handle_mcp_command(ctx.msg, _session(ctx))
+
+
+async def _cmd_stop_priority(ctx: CommandContext):
+    await ctx.loop._handle_stop(ctx.msg)
+    return None
+
+
+async def _cmd_restart_priority(ctx: CommandContext):
+    await ctx.loop._handle_restart(ctx.msg)
+    return None
+
+
+def build_agent_command_router() -> CommandRouter:
+    """Create the slash-command router used by AgentLoop."""
+    router = CommandRouter()
+
+    router.priority("/stop", _cmd_stop_priority)
+    router.priority("/restart", _cmd_restart_priority)
+    router.priority("/status", _cmd_status)
+
+    router.exact("/new", _cmd_new)
+    router.exact("/status", _cmd_status)
+    router.exact("/help", _cmd_help)
+
+    router.exact("/lang", _cmd_lang)
+    router.exact("/language", _cmd_lang)
+    router.prefix("/lang ", _cmd_lang)
+    router.prefix("/language ", _cmd_lang)
+
+    router.exact("/persona", _cmd_persona)
+    router.prefix("/persona ", _cmd_persona)
+
+    router.exact("/skill", _cmd_skill)
+    router.prefix("/skill ", _cmd_skill)
+
+    router.exact("/mcp", _cmd_mcp)
+    router.prefix("/mcp ", _cmd_mcp)
+
+    return router

nanobot/agent/commands/skill.py

@@ -0,0 +1,434 @@
+"""Skill command helpers for AgentLoop."""
+
+from __future__ import annotations
+
+import asyncio
+import json
+import os
+import shutil
+from pathlib import Path
+from typing import TYPE_CHECKING, Any
+
+import httpx
+from loguru import logger
+
+from nanobot.agent.i18n import text
+from nanobot.bus.events import InboundMessage, OutboundMessage
+from nanobot.utils.helpers import ensure_dir
+
+if TYPE_CHECKING:
+    from nanobot.agent.loop import AgentLoop
+
+
+class SkillCommandHandler:
+    """Encapsulates `/skill` subcommand behavior for AgentLoop."""
+
+    def __init__(self, loop: AgentLoop) -> None:
+        self.loop = loop
+
+    @staticmethod
+    def _response(msg: InboundMessage, content: str) -> OutboundMessage:
+        return OutboundMessage(channel=msg.channel, chat_id=msg.chat_id, content=content)
+
+    @staticmethod
+    def _decode_subprocess_output(data: bytes) -> str:
+        """Decode subprocess output conservatively for CLI surfacing."""
+        return data.decode("utf-8", errors="replace").strip()
+
+    def _is_clawhub_network_error(self, output: str) -> bool:
+        lowered = output.lower()
+        return any(marker in lowered for marker in self.loop._CLAWHUB_NETWORK_ERROR_MARKERS)
+
+    def _format_clawhub_error(self, language: str, code: int, output: str) -> str:
+        if output and self._is_clawhub_network_error(output):
+            return "\n\n".join([text(language, "skill_command_network_failed"), output])
+        return output or text(language, "skill_command_failed", code=code)
+
+    @staticmethod
+    def _clawhub_search_headers(language: str) -> dict[str, str]:
+        accept_language = "zh-CN,zh;q=0.9,en;q=0.8" if language.startswith("zh") else "en-US,en;q=0.9"
+        return {
+            "accept": "*/*",
+            "accept-language": accept_language,
+            "origin": "https://skillhub.tencent.com",
+            "referer": "https://skillhub.tencent.com/",
+        }
+
+    def _format_clawhub_search_results(
+        self,
+        language: str,
+        query: str,
+        skills: list[dict[str, Any]],
+        total: int,
+    ) -> str:
+        blocks = [
+            text(
+                language,
+                "skill_search_results_header",
+                query=query,
+                total=total,
+                count=len(skills),
+            )
+        ]
+        description_key = "description_zh" if language.startswith("zh") else "description"
+        for index, skill in enumerate(skills, start=1):
+            name = str(skill.get("name") or skill.get("slug") or f"skill-{index}")
+            slug = str(skill.get("slug") or "-")
+            owner = str(skill.get("ownerName") or "-")
+            installs = str(skill.get("installs") or 0)
+            stars = str(skill.get("stars") or 0)
+            version = str(skill.get("version") or "-")
+            description = str(
+                skill.get(description_key) or skill.get("description") or skill.get("description_zh") or ""
+            ).strip()
+            homepage = str(skill.get("homepage") or "").strip()
+            lines = [
+                f"{index}. {name}",
+                text(
+                    language,
+                    "skill_search_result_meta",
+                    slug=slug,
+                    owner=owner,
+                    installs=installs,
+                    stars=stars,
+                    version=version,
+                ),
+            ]
+            if description:
+                lines.append(description)
+            if homepage:
+                lines.append(homepage)
+            blocks.append("\n".join(lines))
+        return "\n\n".join(blocks)
+
+    async def _search_clawhub(
+        self,
+        language: str,
+        query: str,
+    ) -> tuple[int, str]:
+        params = {
+            "page": "1",
+            "pageSize": str(self.loop._CLAWHUB_SEARCH_LIMIT),
+            "sortBy": "score",
+            "order": "desc",
+            "keyword": query,
+        }
+        try:
+            async with httpx.AsyncClient(
+                proxy=self.loop.web_proxy,
+                follow_redirects=True,
+                timeout=self.loop._CLAWHUB_SEARCH_TIMEOUT_SECONDS,
+            ) as client:
+                response = await client.get(
+                    self.loop._CLAWHUB_SEARCH_API_URL,
+                    params=params,
+                    headers=self._clawhub_search_headers(language),
+                )
+                response.raise_for_status()
+        except httpx.TimeoutException:
+            return 124, text(language, "skill_search_timeout")
+        except httpx.HTTPStatusError as exc:
+            details = exc.response.text.strip()
+            message = text(language, "skill_search_failed_status", status=exc.response.status_code)
+            return exc.response.status_code, "\n\n".join(part for part in [message, details] if part)
+        except httpx.RequestError as exc:
+            return 1, "\n\n".join([text(language, "skill_search_request_failed"), str(exc)])
+
+        try:
+            payload = response.json()
+        except ValueError:
+            return 1, text(language, "skill_search_invalid_response")
+
+        if not isinstance(payload, dict):
+            return 1, text(language, "skill_search_invalid_response")
+
+        if payload.get("code") != 0:
+            details = str(payload.get("message") or "").strip()
+            return 1, "\n\n".join(
+                part for part in [text(language, "skill_search_failed"), details] if part
+            )
+
+        data = payload.get("data")
+        if not isinstance(data, dict):
+            return 1, text(language, "skill_search_invalid_response")
+
+        skills = data.get("skills")
+        if not isinstance(skills, list):
+            return 1, text(language, "skill_search_invalid_response")
+
+        total = data.get("total")
+        if not isinstance(total, int):
+            total = len(skills)
+
+        if not skills:
+            return 0, ""
+
+        return 0, self._format_clawhub_search_results(language, query, skills, total)
+
+    def _clawhub_env(self) -> dict[str, str]:
+        """Configure npm so ClawHub fails fast and uses a writable cache directory."""
+        env = os.environ.copy()
+        env.setdefault("NO_COLOR", "1")
+        env.setdefault("FORCE_COLOR", "0")
+        env.setdefault("npm_config_cache", str(ensure_dir(self.loop._clawhub_npm_cache_dir)))
+        env.setdefault("npm_config_update_notifier", "false")
+        env.setdefault("npm_config_audit", "false")
+        env.setdefault("npm_config_fund", "false")
+        env.setdefault("npm_config_fetch_retries", "0")
+        env.setdefault("npm_config_fetch_timeout", "5000")
+        env.setdefault("npm_config_fetch_retry_mintimeout", "1000")
+        env.setdefault("npm_config_fetch_retry_maxtimeout", "5000")
+        return env
+
+    def _is_clawhub_cache_error(self, output: str) -> bool:
+        lowered = output.lower()
+        return any(marker in lowered for marker in self.loop._CLAWHUB_CACHE_ERROR_MARKERS) and (
+            "_npx/" in lowered or "_npx\\" in lowered
+        )
+
+    @staticmethod
+    def _clear_clawhub_exec_cache(env: dict[str, str]) -> None:
+        """Clear npm's temporary exec installs without wiping the shared tarball cache."""
+        cache_root = env.get("npm_config_cache")
+        if not cache_root:
+            return
+        shutil.rmtree(Path(cache_root) / "_npx", ignore_errors=True)
+
+    async def _run_clawhub_once(
+        self,
+        npx: str,
+        env: dict[str, str],
+        *args: str,
+        timeout_seconds: int | None = None,
+    ) -> tuple[int, str]:
+        """Run one ClawHub subprocess attempt and return (exit_code, combined_output)."""
+        proc = None
+        try:
+            proc = await asyncio.create_subprocess_exec(
+                npx,
+                "--yes",
+                "clawhub@latest",
+                *args,
+                stdout=asyncio.subprocess.PIPE,
+                stderr=asyncio.subprocess.PIPE,
+                env=env,
+            )
+            stdout, stderr = await asyncio.wait_for(
+                proc.communicate(),
+                timeout=timeout_seconds or self.loop._CLAWHUB_TIMEOUT_SECONDS,
+            )
+        except FileNotFoundError:
+            raise
+        except asyncio.TimeoutError:
+            if proc is not None and proc.returncode is None:
+                proc.kill()
+                await proc.communicate()
+            raise
+        except asyncio.CancelledError:
+            if proc is not None and proc.returncode is None:
+                proc.kill()
+                await proc.communicate()
+            raise
+
+        output_parts = [
+            self._decode_subprocess_output(stdout),
+            self._decode_subprocess_output(stderr),
+        ]
+        output = "\n".join(part for part in output_parts if part).strip()
+        return proc.returncode or 0, output
+
+    @staticmethod
+    def _clawhub_args(workspace: str, *args: str) -> tuple[str, ...]:
+        """Build ClawHub CLI args with global options first for consistent parsing."""
+        return ("--workdir", workspace, "--no-input", *args)
+
+    @staticmethod
+    def _is_valid_skill_slug(slug: str) -> bool:
+        """Validate a workspace skill slug for local install/remove operations."""
+        return bool(slug) and slug not in {".", ".."} and "/" not in slug and "\\" not in slug
+
+    def _prune_clawhub_lockfile(self, slug: str) -> bool:
+        """Best-effort removal of a skill entry from the local ClawHub lockfile."""
+        lock_path = self.loop.workspace / ".clawhub" / "lock.json"
+        if not lock_path.exists():
+            return False
+
+        data = json.loads(lock_path.read_text(encoding="utf-8"))
+        if not isinstance(data, dict):
+            return False
+
+        changed = False
+        skills = data.get("skills")
+        if isinstance(skills, dict) and slug in skills:
+            del skills[slug]
+            changed = True
+        elif isinstance(skills, list):
+            filtered = [
+                item
+                for item in skills
+                if not (
+                    item == slug
+                    or (isinstance(item, dict) and (item.get("slug") == slug or item.get("name") == slug))
+                )
+            ]
+            if len(filtered) != len(skills):
+                data["skills"] = filtered
+                changed = True
+
+        if changed:
+            lock_path.write_text(json.dumps(data, ensure_ascii=False, indent=2) + "\n", encoding="utf-8")
+        return changed
+
+    async def _run_clawhub(
+        self, language: str, *args: str, timeout_seconds: int | None = None,
+    ) -> tuple[int, str]:
+        """Run the ClawHub CLI and return (exit_code, combined_output)."""
+        npx = shutil.which("npx")
+        if not npx:
+            return 127, text(language, "skill_npx_missing")
+
+        env = self._clawhub_env()
+
+        try:
+            async with self.loop._clawhub_lock:
+                code, output = await self._run_clawhub_once(
+                    npx,
+                    env,
+                    *args,
+                    timeout_seconds=timeout_seconds,
+                )
+                if code != 0 and self._is_clawhub_cache_error(output):
+                    logger.warning(
+                        "Retrying ClawHub command after clearing npm exec cache at {}",
+                        env["npm_config_cache"],
+                    )
+                    self._clear_clawhub_exec_cache(env)
+                    code, output = await self._run_clawhub_once(
+                        npx,
+                        env,
+                        *args,
+                        timeout_seconds=timeout_seconds,
+                    )
+        except FileNotFoundError:
+            return 127, text(language, "skill_npx_missing")
+        except asyncio.TimeoutError:
+            return 124, text(language, "skill_command_timeout")
+        except asyncio.CancelledError:
+            raise
+        return code, output
+
+    def _format_skill_command_success(
+        self,
+        language: str,
+        subcommand: str,
+        output: str,
+        *,
+        include_workspace_note: bool = False,
+    ) -> str:
+        notes: list[str] = []
+        if output:
+            notes.append(output)
+        if include_workspace_note:
+            notes.append(text(language, "skill_applied_to_workspace", workspace=self.loop.workspace))
+        return "\n\n".join(notes) if notes else text(language, "skill_command_completed", command=subcommand)
+
+    async def _run_skill_clawhub_command(
+        self,
+        msg: InboundMessage,
+        language: str,
+        subcommand: str,
+        *args: str,
+        timeout_seconds: int | None = None,
+        include_workspace_note: bool = False,
+    ) -> OutboundMessage:
+        code, output = await self._run_clawhub(
+            language,
+            *self._clawhub_args(str(self.loop.workspace), *args),
+            timeout_seconds=timeout_seconds,
+        )
+        if code != 0:
+            return self._response(msg, self._format_clawhub_error(language, code, output))
+        return self._response(
+            msg,
+            self._format_skill_command_success(
+                language,
+                subcommand,
+                output,
+                include_workspace_note=include_workspace_note,
+            ),
+        )
+
+    async def search(self, msg: InboundMessage, language: str, query: str) -> OutboundMessage:
+        code, output = await self._search_clawhub(language, query)
+        if code != 0:
+            return self._response(msg, output or text(language, "skill_search_failed"))
+        if not output:
+            return self._response(msg, text(language, "skill_search_no_results", query=query))
+        return self._response(msg, output)
+
+    async def install(self, msg: InboundMessage, language: str, slug: str) -> OutboundMessage:
+        return await self._run_skill_clawhub_command(
+            msg,
+            language,
+            "install",
+            "install",
+            slug,
+            timeout_seconds=self.loop._CLAWHUB_INSTALL_TIMEOUT_SECONDS,
+            include_workspace_note=True,
+        )
+
+    async def uninstall(self, msg: InboundMessage, language: str, slug: str) -> OutboundMessage:
+        if not self._is_valid_skill_slug(slug):
+            return self._response(msg, text(language, "skill_invalid_slug", slug=slug))
+
+        skill_dir = self.loop.workspace / "skills" / slug
+        if not skill_dir.is_dir():
+            return self._response(
+                msg,
+                text(language, "skill_uninstall_not_found", slug=slug, path=skill_dir),
+            )
+
+        try:
+            shutil.rmtree(skill_dir)
+        except OSError:
+            logger.exception("Failed to remove workspace skill {}", skill_dir)
+            return self._response(
+                msg,
+                text(language, "skill_uninstall_failed", slug=slug, path=skill_dir),
+            )
+
+        notes = [text(language, "skill_uninstalled_local", slug=slug, path=skill_dir)]
+        try:
+            if self._prune_clawhub_lockfile(slug):
+                notes.append(
+                    text(
+                        language,
+                        "skill_lockfile_pruned",
+                        path=self.loop.workspace / ".clawhub" / "lock.json",
+                    )
+                )
+        except (OSError, ValueError, TypeError):
+            logger.exception("Failed to prune ClawHub lockfile for {}", slug)
+            notes.append(
+                text(
+                    language,
+                    "skill_lockfile_cleanup_failed",
+                    path=self.loop.workspace / ".clawhub" / "lock.json",
+                )
+            )
+
+        return self._response(msg, "\n\n".join(notes))
+
+    async def list(self, msg: InboundMessage, language: str) -> OutboundMessage:
+        return await self._run_skill_clawhub_command(msg, language, "list", "list")
+
+    async def update(self, msg: InboundMessage, language: str) -> OutboundMessage:
+        return await self._run_skill_clawhub_command(
+            msg,
+            language,
+            "update",
+            "update",
+            "--all",
+            timeout_seconds=self.loop._CLAWHUB_INSTALL_TIMEOUT_SECONDS,
+            include_workspace_note=True,
+        )

nanobot/agent/commands/system.py

@@ -0,0 +1,75 @@
+"""Lightweight system command helpers for AgentLoop."""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+from nanobot import __version__
+from nanobot.agent.i18n import help_lines, text
+from nanobot.bus.events import InboundMessage, OutboundMessage
+from nanobot.utils.helpers import build_status_content
+
+if TYPE_CHECKING:
+    from nanobot.agent.loop import AgentLoop
+    from nanobot.session.manager import Session
+
+
+class SystemCommandHandler:
+    """Encapsulates lightweight `/new`, `/help`, and `/status` behavior for AgentLoop."""
+
+    def __init__(self, loop: AgentLoop) -> None:
+        self.loop = loop
+
+    @staticmethod
+    def _response(
+        msg: InboundMessage,
+        content: str,
+        *,
+        metadata: dict[str, str] | None = None,
+    ) -> OutboundMessage:
+        return OutboundMessage(
+            channel=msg.channel,
+            chat_id=msg.chat_id,
+            content=content,
+            metadata=metadata,
+        )
+
+    def help(self, msg: InboundMessage, language: str) -> OutboundMessage:
+        return self._response(
+            msg,
+            "\n".join(help_lines(language)),
+            metadata={"render_as": "text"},
+        )
+
+    def new_session(self, msg: InboundMessage, session: Session, language: str) -> OutboundMessage:
+        snapshot = session.messages[session.last_consolidated:]
+        session.clear()
+        self.loop.sessions.save(session)
+        self.loop.sessions.invalidate(session.key)
+
+        if snapshot:
+            self.loop._schedule_background(self.loop.memory_consolidator.archive_messages(session, snapshot))
+
+        return self._response(msg, text(language, "new_session_started"))
+
+    def status(self, msg: InboundMessage, session: Session) -> OutboundMessage:
+        ctx_est = 0
+        try:
+            ctx_est, _ = self.loop.memory_consolidator.estimate_session_prompt_tokens(session)
+        except Exception:
+            pass
+        if ctx_est <= 0:
+            ctx_est = self.loop._last_usage.get("prompt_tokens", 0)
+        return self._response(
+            msg,
+            build_status_content(
+                version=__version__,
+                model=self.loop.model,
+                start_time=self.loop._start_time,
+                last_usage=self.loop._last_usage,
+                context_window_tokens=self.loop.context_window_tokens,
+                session_msg_count=len(session.get_history(max_messages=0)),
+                context_tokens_estimate=ctx_est,
+            ),
+            metadata={"render_as": "text"},
+        )

nanobot/agent/loop.py

@@ -5,7 +5,6 @@ from __future__ import annotations
 import asyncio
 import json
 import os
-import shutil
 import sys
 import tempfile
 import time
@@ -15,14 +14,17 @@ from typing import TYPE_CHECKING, Any, Awaitable, Callable
 
 from loguru import logger
 
-from nanobot import __version__
+from nanobot.agent.commands import (
+    LanguageCommandHandler,
+    MCPCommandHandler,
+    PersonaCommandHandler,
+    SkillCommandHandler,
+    SystemCommandHandler,
+    build_agent_command_router,
+)
 from nanobot.agent.context import ContextBuilder
 from nanobot.agent.i18n import (
     DEFAULT_LANGUAGE,
-    help_lines,
-    language_label,
-    list_languages,
-    normalize_language_code,
     resolve_language,
     text,
 )
@@ -39,10 +41,11 @@ from nanobot.agent.tools.spawn import SpawnTool
 from nanobot.agent.tools.web import WebFetchTool, WebSearchTool
 from nanobot.bus.events import InboundMessage, OutboundMessage
 from nanobot.bus.queue import MessageBus
+from nanobot.command.router import CommandContext
 from nanobot.providers.base import LLMProvider
 from nanobot.providers.speech import OpenAISpeechProvider
 from nanobot.session.manager import Session, SessionManager
-from nanobot.utils.helpers import build_status_content, ensure_dir, safe_filename
+from nanobot.utils.helpers import ensure_dir, safe_filename
 
 if TYPE_CHECKING:
     from nanobot.config.schema import ChannelsConfig, ExecToolConfig
@@ -74,6 +77,14 @@ class AgentLoop:
         "network request failed",
         "registry.npmjs.org",
     )
+    _CLAWHUB_CACHE_ERROR_MARKERS = (
+        "err_module_not_found",
+        "cannot find module",
+        "cannot find package",
+    )
+    _CLAWHUB_SEARCH_API_URL = "https://lightmake.site/api/skills"
+    _CLAWHUB_SEARCH_TIMEOUT_SECONDS = 15.0
+    _CLAWHUB_SEARCH_LIMIT = 5
     _CLAWHUB_NPM_CACHE_DIR = Path(tempfile.gettempdir()) / "nanobot-npm-cache"
     _PREFLIGHT_CONSOLIDATION_BUDGET_SECONDS = 1.5
 
@@ -117,6 +128,14 @@ class AgentLoop:
         self.restrict_to_workspace = restrict_to_workspace
         self._start_time = time.time()
         self._last_usage: dict[str, int] = {}
+        self._clawhub_lock = asyncio.Lock()
+        self._clawhub_npm_cache_dir = self._CLAWHUB_NPM_CACHE_DIR / str(os.getpid())
+        self._language_commands = LanguageCommandHandler(self)
+        self._mcp_commands = MCPCommandHandler(self)
+        self._persona_commands = PersonaCommandHandler(self)
+        self._skill_commands = SkillCommandHandler(self)
+        self._system_commands = SystemCommandHandler(self)
+        self._command_router = build_agent_command_router()
 
         self.context = ContextBuilder(workspace)
         self.sessions = session_manager or SessionManager(workspace)
@@ -164,12 +183,6 @@ class AgentLoop:
         )
         self._register_default_tools()
 
-    @staticmethod
-    def _command_name(content: str) -> str:
-        """Return the normalized slash command name."""
-        parts = content.strip().split(None, 1)
-        return parts[0].lower() if parts else ""
-
     def _get_session_persona(self, session: Session) -> str:
         """Return the active persona name for a session."""
         return self.context.resolve_persona(session.metadata.get("persona"))
@@ -214,23 +227,6 @@ class AgentLoop:
         """Return MCP command help text."""
         return text(language, "mcp_usage")
 
-    def _group_mcp_tool_names(self) -> dict[str, list[str]]:
-        """Group registered MCP tool names by configured server name."""
-        grouped = {name: [] for name in self._mcp_servers}
-        server_names = sorted(self._mcp_servers, key=len, reverse=True)
-
-        for tool_name in self.tools.tool_names:
-            if not tool_name.startswith("mcp_"):
-                continue
-
-            for server_name in server_names:
-                prefix = f"mcp_{server_name}_"
-                if tool_name.startswith(prefix):
-                    grouped[server_name].append(tool_name.removeprefix(prefix))
-                    break
-
-        return {name: sorted(tools) for name, tools in grouped.items()}
-
     def _remove_registered_mcp_tools(self) -> None:
         """Remove all dynamically registered MCP tools from the registry."""
         for tool_name in list(self.tools.tool_names):
@@ -368,176 +364,86 @@ class AgentLoop:
         await self._reload_runtime_config_if_needed(force=force)
 
     @staticmethod
-    def _decode_subprocess_output(data: bytes) -> str:
-        """Decode subprocess output conservatively for CLI surfacing."""
-        return data.decode("utf-8", errors="replace").strip()
+    def _skill_subcommand(parts: list[str]) -> str | None:
+        if len(parts) < 2:
+            return None
+        return parts[1].lower()
 
-    @classmethod
-    def _is_clawhub_network_error(cls, output: str) -> bool:
-        lowered = output.lower()
-        return any(marker in lowered for marker in cls._CLAWHUB_NETWORK_ERROR_MARKERS)
+    @staticmethod
+    def _skill_search_query(content: str) -> str | None:
+        query_parts = content.strip().split(None, 2)
+        if len(query_parts) < 3:
+            return None
+        query = query_parts[2].strip()
+        return query or None
 
-    def _format_clawhub_error(self, language: str, code: int, output: str) -> str:
-        if output and self._is_clawhub_network_error(output):
-            return "\n\n".join([text(language, "skill_command_network_failed"), output])
-        return output or text(language, "skill_command_failed", code=code)
+    @staticmethod
+    def _skill_argument(parts: list[str]) -> str | None:
+        if len(parts) < 3:
+            return None
+        value = parts[2].strip()
+        return value or None
 
-    def _clawhub_env(self) -> dict[str, str]:
-        """Configure npm so ClawHub fails fast and uses a writable cache directory."""
-        env = os.environ.copy()
-        env.setdefault("NO_COLOR", "1")
-        env.setdefault("FORCE_COLOR", "0")
-        env.setdefault("npm_config_cache", str(self._CLAWHUB_NPM_CACHE_DIR))
-        env.setdefault("npm_config_update_notifier", "false")
-        env.setdefault("npm_config_audit", "false")
-        env.setdefault("npm_config_fund", "false")
-        env.setdefault("npm_config_fetch_retries", "0")
-        env.setdefault("npm_config_fetch_timeout", "5000")
-        env.setdefault("npm_config_fetch_retry_mintimeout", "1000")
-        env.setdefault("npm_config_fetch_retry_maxtimeout", "5000")
-        return env
-
-    async def _run_clawhub(
-        self, language: str, *args: str, timeout_seconds: int | None = None,
-    ) -> tuple[int, str]:
-        """Run the ClawHub CLI and return (exit_code, combined_output)."""
-        npx = shutil.which("npx")
-        if not npx:
-            return 127, text(language, "skill_npx_missing")
-
-        env = self._clawhub_env()
-
-        proc = None
-        try:
-            proc = await asyncio.create_subprocess_exec(
-                npx,
-                "--yes",
-                "clawhub@latest",
-                *args,
-                stdout=asyncio.subprocess.PIPE,
-                stderr=asyncio.subprocess.PIPE,
-                env=env,
-            )
-            stdout, stderr = await asyncio.wait_for(
-                proc.communicate(), timeout=timeout_seconds or self._CLAWHUB_TIMEOUT_SECONDS,
-            )
-        except FileNotFoundError:
-            return 127, text(language, "skill_npx_missing")
-        except asyncio.TimeoutError:
-            if proc is not None and proc.returncode is None:
-                proc.kill()
-                await proc.communicate()
-            return 124, text(language, "skill_command_timeout")
-        except asyncio.CancelledError:
-            if proc is not None and proc.returncode is None:
-                proc.kill()
-                await proc.communicate()
-            raise
-
-        output_parts = [
-            self._decode_subprocess_output(stdout),
-            self._decode_subprocess_output(stderr),
-        ]
-        output = "\n".join(part for part in output_parts if part).strip()
-        return proc.returncode or 0, output
+    def _command_context(
+        self,
+        msg: InboundMessage,
+        *,
+        session: Session | None = None,
+        key: str | None = None,
+    ) -> CommandContext:
+        return CommandContext(
+            msg=msg,
+            session=session,
+            key=key or msg.session_key,
+            raw=msg.content.strip(),
+            loop=self,
+        )
 
     async def _handle_skill_command(self, msg: InboundMessage, session: Session) -> OutboundMessage:
         """Handle ClawHub skill management commands for the active workspace."""
         language = self._get_session_language(session)
         parts = msg.content.strip().split()
-        search_query: str | None = None
-        if len(parts) == 1:
-            return OutboundMessage(
-                channel=msg.channel,
-                chat_id=msg.chat_id,
-                content=text(language, "skill_usage"),
-            )
-
-        subcommand = parts[1].lower()
-        workspace = str(self.workspace)
+        subcommand = self._skill_subcommand(parts)
+        if not subcommand:
+            return OutboundMessage(channel=msg.channel, chat_id=msg.chat_id, content=text(language, "skill_usage"))
 
         if subcommand == "search":
-            query_parts = msg.content.strip().split(None, 2)
-            if len(query_parts) < 3 or not query_parts[2].strip():
+            query = self._skill_search_query(msg.content)
+            if not query:
                 return OutboundMessage(
                     channel=msg.channel,
                     chat_id=msg.chat_id,
                     content=text(language, "skill_search_missing_query"),
                 )
-            search_query = query_parts[2].strip()
-            code, output = await self._run_clawhub(
-                language,
-                "search",
-                search_query,
-                "--limit",
-                "5",
-            )
-        elif subcommand == "install":
-            if len(parts) < 3:
+            return await self._skill_commands.search(msg, language, query)
+
+        if subcommand == "install":
+            slug = self._skill_argument(parts)
+            if not slug:
                 return OutboundMessage(
                     channel=msg.channel,
                     chat_id=msg.chat_id,
                     content=text(language, "skill_install_missing_slug"),
                 )
-            code, output = await self._run_clawhub(
-                language,
-                "install",
-                parts[2],
-                "--workdir",
-                workspace,
-                timeout_seconds=self._CLAWHUB_INSTALL_TIMEOUT_SECONDS,
-            )
-        elif subcommand == "uninstall":
-            if len(parts) < 3:
+            return await self._skill_commands.install(msg, language, slug)
+
+        if subcommand == "uninstall":
+            slug = self._skill_argument(parts)
+            if not slug:
                 return OutboundMessage(
                     channel=msg.channel,
                     chat_id=msg.chat_id,
                     content=text(language, "skill_uninstall_missing_slug"),
                 )
-            code, output = await self._run_clawhub(
-                language,
-                "uninstall",
-                parts[2],
-                "--yes",
-                "--workdir",
-                workspace,
-            )
-        elif subcommand == "list":
-            code, output = await self._run_clawhub(language, "list", "--workdir", workspace)
-        elif subcommand == "update":
-            code, output = await self._run_clawhub(
-                language,
-                "update",
-                "--all",
-                "--workdir",
-                workspace,
-                timeout_seconds=self._CLAWHUB_INSTALL_TIMEOUT_SECONDS,
-            )
-        else:
-            return OutboundMessage(
-                channel=msg.channel,
-                chat_id=msg.chat_id,
-                content=text(language, "skill_usage"),
-            )
+            return await self._skill_commands.uninstall(msg, language, slug)
 
-        if code != 0:
-            content = self._format_clawhub_error(language, code, output)
-            return OutboundMessage(channel=msg.channel, chat_id=msg.chat_id, content=content)
+        if subcommand == "list":
+            return await self._skill_commands.list(msg, language)
 
-        if subcommand == "search" and not output:
-            return OutboundMessage(
-                channel=msg.channel,
-                chat_id=msg.chat_id,
-                content=text(language, "skill_search_no_results", query=search_query or ""),
-            )
+        if subcommand == "update":
+            return await self._skill_commands.update(msg, language)
 
-        notes: list[str] = []
-        if output:
-            notes.append(output)
-        if subcommand in {"install", "uninstall", "update"}:
-            notes.append(text(language, "skill_applied_to_workspace", workspace=workspace))
-        content = "\n\n".join(notes) if notes else text(language, "skill_command_completed", command=subcommand)
-        return OutboundMessage(channel=msg.channel, chat_id=msg.chat_id, content=content)
+        return OutboundMessage(channel=msg.channel, chat_id=msg.chat_id, content=text(language, "skill_usage"))
 
     async def _handle_mcp_command(self, msg: InboundMessage, session: Session) -> OutboundMessage:
         """Handle MCP inspection commands."""
@@ -551,37 +457,7 @@ class AgentLoop:
                 content=self._mcp_usage(language),
             )
 
-        await self._reload_mcp_servers_if_needed()
-
-        if not self._mcp_servers:
-            return OutboundMessage(
-                channel=msg.channel,
-                chat_id=msg.chat_id,
-                content=text(language, "mcp_no_servers"),
-            )
-
-        await self._connect_mcp()
-
-        server_lines = "\n".join(f"- {name}" for name in self._mcp_servers)
-        sections = [text(language, "mcp_servers_list", items=server_lines)]
-
-        grouped_tools = self._group_mcp_tool_names()
-        tool_lines = "\n".join(
-            f"- {server}: {', '.join(tools)}"
-            for server, tools in grouped_tools.items()
-            if tools
-        )
-        sections.append(
-            text(language, "mcp_tools_list", items=tool_lines)
-            if tool_lines
-            else text(language, "mcp_no_tools")
-        )
-
-        return OutboundMessage(
-            channel=msg.channel,
-            chat_id=msg.chat_id,
-            content="\n\n".join(sections),
-        )
+        return await self._mcp_commands.list(msg, language)
 
     def _register_default_tools(self) -> None:
         """Register the default set of tools."""
@@ -661,28 +537,6 @@ class AgentLoop:
             return f'{tc.name}("{val[:40]}…")' if len(val) > 40 else f'{tc.name}("{val}")'
         return ", ".join(_fmt(tc) for tc in tool_calls)
 
-    def _status_response(self, msg: InboundMessage, session: Session) -> OutboundMessage:
-        """Build an outbound status message for a session."""
-        ctx_est = 0
-        try:
-            ctx_est, _ = self.memory_consolidator.estimate_session_prompt_tokens(session)
-        except Exception:
-            pass
-        if ctx_est <= 0:
-            ctx_est = self._last_usage.get("prompt_tokens", 0)
-        return OutboundMessage(
-            channel=msg.channel,
-            chat_id=msg.chat_id,
-            content=build_status_content(
-                version=__version__, model=self.model,
-                start_time=self._start_time, last_usage=self._last_usage,
-                context_window_tokens=self.context_window_tokens,
-                session_msg_count=len(session.get_history(max_messages=0)),
-                context_tokens_estimate=ctx_est,
-            ),
-            metadata={"render_as": "text"},
-        )
-
     @staticmethod
     def _voice_reply_extension(response_format: str) -> str:
         """Map TTS response formats to delivery file extensions."""
@@ -972,14 +826,14 @@ class AgentLoop:
                 logger.warning("Error consuming inbound message: {}, continuing...", e)
                 continue
 
-            cmd = self._command_name(msg.content)
-            if cmd == "/stop":
-                await self._handle_stop(msg)
-            elif cmd == "/restart":
-                await self._handle_restart(msg)
-            elif cmd == "/status":
-                session = self.sessions.get_or_create(msg.session_key)
-                await self.bus.publish_outbound(self._status_response(msg, session))
+            ctx = self._command_context(
+                msg,
+                session=self.sessions.get_or_create(msg.session_key),
+            )
+            if self._command_router.is_priority(ctx.raw):
+                result = await self._command_router.dispatch_priority(ctx)
+                if result is not None:
+                    await self.bus.publish_outbound(result)
             else:
                 task = asyncio.create_task(self._dispatch(msg))
                 self._active_tasks.setdefault(msg.session_key, []).append(task)
@@ -1069,27 +923,14 @@ class AgentLoop:
 
     async def _handle_language_command(self, msg: InboundMessage, session: Session) -> OutboundMessage:
         """Handle session-scoped language switching commands."""
-        current = self._get_session_language(session)
         parts = msg.content.strip().split()
+        current = self._get_session_language(session)
         if len(parts) == 1 or parts[1].lower() == "current":
-            return OutboundMessage(
-                channel=msg.channel,
-                chat_id=msg.chat_id,
-                content=text(current, "current_language", language_name=language_label(current, current)),
-            )
+            return self._language_commands.current(msg, session)
 
         subcommand = parts[1].lower()
         if subcommand == "list":
-            items = "\n".join(
-                f"- {language_label(code, current)}"
-                + (f" ({text(current, 'current_marker')})" if code == current else "")
-                for code in list_languages()
-            )
-            return OutboundMessage(
-                channel=msg.channel,
-                chat_id=msg.chat_id,
-                content=text(current, "available_languages", items=items),
-            )
+            return self._language_commands.list(msg, session)
 
         if subcommand != "set" or len(parts) < 3:
             return OutboundMessage(
@@ -1098,55 +939,18 @@ class AgentLoop:
                 content=self._language_usage(current),
             )
 
-        target = normalize_language_code(parts[2])
-        if target is None:
-            languages = ", ".join(language_label(code, current) for code in list_languages())
-            return OutboundMessage(
-                channel=msg.channel,
-                chat_id=msg.chat_id,
-                content=text(current, "unknown_language", name=parts[2], languages=languages),
-            )
-
-        if target == current:
-            return OutboundMessage(
-                channel=msg.channel,
-                chat_id=msg.chat_id,
-                content=text(current, "language_already_active", language_name=language_label(target, current)),
-            )
-
-        self._set_session_language(session, target)
-        self.sessions.save(session)
-        return OutboundMessage(
-            channel=msg.channel,
-            chat_id=msg.chat_id,
-            content=text(target, "switched_language", language_name=language_label(target, target)),
-        )
+        return self._language_commands.set(msg, session, parts[2])
 
     async def _handle_persona_command(self, msg: InboundMessage, session: Session) -> OutboundMessage:
         """Handle session-scoped persona management commands."""
         language = self._get_session_language(session)
         parts = msg.content.strip().split()
         if len(parts) == 1 or parts[1].lower() == "current":
-            current = self._get_session_persona(session)
-            return OutboundMessage(
-                channel=msg.channel,
-                chat_id=msg.chat_id,
-                content=text(language, "current_persona", persona=current),
-            )
+            return self._persona_commands.current(msg, session)
 
         subcommand = parts[1].lower()
         if subcommand == "list":
-            current = self._get_session_persona(session)
-            marker = text(language, "current_marker")
-            personas = [
-                f"{name} ({marker})" if name == current else name
-                for name in self.context.list_personas()
-            ]
-            return OutboundMessage(
-                channel=msg.channel,
-                chat_id=msg.chat_id,
-                content=text(language, "available_personas", items="\n".join(f"- {name}" for name in personas)),
-            )
+            return self._persona_commands.list(msg, session)
 
         if subcommand != "set" or len(parts) < 3:
             return OutboundMessage(
@@ -1155,53 +959,7 @@ class AgentLoop:
                 content=self._persona_usage(language),
             )
 
-        target = self.context.find_persona(parts[2])
-        if target is None:
-            personas = ", ".join(self.context.list_personas())
-            return OutboundMessage(
-                channel=msg.channel,
-                chat_id=msg.chat_id,
-                content=text(
-                    language,
-                    "unknown_persona",
-                    name=parts[2],
-                    personas=personas,
-                    path=self.workspace / "personas" / parts[2],
-                ),
-            )
-
-        current = self._get_session_persona(session)
-        if target == current:
-            return OutboundMessage(
-                channel=msg.channel,
-                chat_id=msg.chat_id,
-                content=text(language, "persona_already_active", persona=target),
-            )
-
-        try:
-            if not await self.memory_consolidator.archive_unconsolidated(session):
-                return OutboundMessage(
-                    channel=msg.channel,
-                    chat_id=msg.chat_id,
-                    content=text(language, "memory_archival_failed_persona"),
-                )
-        except Exception:
-            logger.exception("/persona archival failed for {}", session.key)
-            return OutboundMessage(
-                channel=msg.channel,
-                chat_id=msg.chat_id,
-                content=text(language, "memory_archival_failed_persona"),
-            )
-
-        session.clear()
-        self._set_session_persona(session, target)
-        self.sessions.save(session)
-        self.sessions.invalidate(session.key)
-        return OutboundMessage(
-            channel=msg.channel,
-            chat_id=msg.chat_id,
-            content=text(language, "switched_persona", persona=target),
-        )
+        return await self._persona_commands.set(msg, session, parts[2])
 
     async def close_mcp(self) -> None:
         """Drain pending background archives, then close MCP connections."""
@@ -1320,35 +1078,11 @@ class AgentLoop:
         language = self._get_session_language(session)
 
         # Slash commands
-        cmd = self._command_name(msg.content)
-        if cmd == "/new":
-            snapshot = session.messages[session.last_consolidated:]
-            session.clear()
-            self.sessions.save(session)
-            self.sessions.invalidate(session.key)
-
-            if snapshot:
-                self._schedule_background(self.memory_consolidator.archive_messages(session, snapshot))
-
-            return OutboundMessage(channel=msg.channel, chat_id=msg.chat_id,
-                                  content=text(language, "new_session_started"))
-        if cmd == "/status":
-            return self._status_response(msg, session)
-        if cmd in {"/lang", "/language"}:
-            return await self._handle_language_command(msg, session)
-        if cmd == "/persona":
-            return await self._handle_persona_command(msg, session)
-        if cmd == "/skill":
-            return await self._handle_skill_command(msg, session)
-        if cmd == "/mcp":
-            return await self._handle_mcp_command(msg, session)
-        if cmd == "/help":
-            return OutboundMessage(
-                channel=msg.channel,
-                chat_id=msg.chat_id,
-                content="\n".join(help_lines(language)),
-                metadata={"render_as": "text"},
-            )
+        slash_response = await self._command_router.dispatch(
+            self._command_context(msg, session=session, key=key)
+        )
+        if slash_response is not None:
+            return slash_response
         await self._connect_mcp()
         await self._run_preflight_token_consolidation(session)
 

nanobot/locales/en.json

@@ -21,8 +21,21 @@
     "skill_usage": "Usage:\n/skill search <query>\n/skill install <slug>\n/skill uninstall <slug>\n/skill list\n/skill update",
     "skill_search_missing_query": "Missing query.\n\nUsage:\n/skill search <query>",
     "skill_search_no_results": "No skills found for \"{query}\". Try broader keywords, or use /skill install <slug> if you know the exact slug.",
+    "skill_search_results_header": "Found {total} skills for \"{query}\". Showing top {count}:",
+    "skill_search_result_meta": "slug: {slug} | owner: {owner} | installs: {installs} | stars: {stars} | version: {version}",
+    "skill_search_timeout": "ClawHub search timed out. Check network, proxy, or registry connectivity and retry.",
+    "skill_search_failed": "ClawHub search failed.",
+    "skill_search_failed_status": "ClawHub search failed with HTTP {status}.",
+    "skill_search_request_failed": "ClawHub search request failed. Check network, proxy, or registry connectivity and retry.",
+    "skill_search_invalid_response": "ClawHub search returned an unexpected response.",
     "skill_install_missing_slug": "Missing skill slug.\n\nUsage:\n/skill install <slug>",
     "skill_uninstall_missing_slug": "Missing skill slug.\n\nUsage:\n/skill uninstall <slug>",
+    "skill_invalid_slug": "Invalid skill slug: {slug}",
+    "skill_uninstall_not_found": "Skill {slug} is not installed at {path}.",
+    "skill_uninstall_failed": "Failed to remove local skill {slug} at {path}.",
+    "skill_uninstalled_local": "Removed local skill {slug} from {path}.",
+    "skill_lockfile_pruned": "Updated ClawHub lockfile: {path}",
+    "skill_lockfile_cleanup_failed": "Removed the local skill, but could not update the ClawHub lockfile at {path}.",
     "skill_npx_missing": "npx is not installed. Install Node.js first, then retry /skill.",
     "skill_command_timeout": "The ClawHub command timed out. Check npm connectivity or proxy settings and try again.",
     "skill_command_failed": "ClawHub command failed with exit code {code}.",

nanobot/locales/zh.json

@@ -21,8 +21,21 @@
     "skill_usage": "用法：\n/skill search <query>\n/skill install <slug>\n/skill uninstall <slug>\n/skill list\n/skill update",
     "skill_search_missing_query": "缺少搜索关键词。\n\n用法：\n/skill search <query>",
     "skill_search_no_results": "没有找到与“{query}”相关的 skill。请尝试更宽泛的关键词；如果你知道精确 slug，也可以直接用 /skill install <slug>。",
+    "skill_search_results_header": "找到 {total} 个与“{query}”相关的 skill，显示前 {count} 个：",
+    "skill_search_result_meta": "slug：{slug} | 作者：{owner} | 安装：{installs} | 星标：{stars} | 版本：{version}",
+    "skill_search_timeout": "ClawHub 搜索超时。请检查网络、代理或 registry 连通性后重试。",
+    "skill_search_failed": "ClawHub 搜索失败。",
+    "skill_search_failed_status": "ClawHub 搜索失败，HTTP 状态码 {status}。",
+    "skill_search_request_failed": "ClawHub 搜索请求失败。请检查网络、代理或 registry 连通性后重试。",
+    "skill_search_invalid_response": "ClawHub 搜索返回了无法解析的响应。",
     "skill_install_missing_slug": "缺少 skill slug。\n\n用法：\n/skill install <slug>",
     "skill_uninstall_missing_slug": "缺少 skill slug。\n\n用法：\n/skill uninstall <slug>",
+    "skill_invalid_slug": "无效的 skill slug：{slug}",
+    "skill_uninstall_not_found": "在 {path} 没有找到已安装的 skill：{slug}。",
+    "skill_uninstall_failed": "删除本地 skill 失败：{slug}（{path}）。",
+    "skill_uninstalled_local": "已删除本地 skill：{slug}（{path}）。",
+    "skill_lockfile_pruned": "已更新 ClawHub lockfile：{path}",
+    "skill_lockfile_cleanup_failed": "本地 skill 已删除，但无法更新 ClawHub lockfile：{path}。",
     "skill_npx_missing": "未安装 npx。请先安装 Node.js，然后再重试 /skill。",
     "skill_command_timeout": "ClawHub 命令执行超时。请检查 npm 网络、代理或 registry 配置后重试。",
     "skill_command_failed": "ClawHub 命令执行失败，退出码 {code}。",

nanobot/skills/clawhub/SKILL.md

@@ -20,14 +20,19 @@ Use this skill when the user asks any of:
 
 ## Search
 
+Query the live registry API directly:
+
 ```bash
-npx --yes clawhub@latest search "web scraping" --limit 5
+curl 'https://lightmake.site/api/skills?page=1&pageSize=5&sortBy=score&order=desc&keyword=web%20scraping' \
+  -H 'accept: */*' \
+  -H 'origin: https://skillhub.tencent.com' \
+  -H 'referer: https://skillhub.tencent.com/'
 ```
 
 ## Install
 
 ```bash
-npx --yes clawhub@latest install <slug> --workdir <nanobot-workspace>
+npx --yes clawhub@latest --workdir <nanobot-workspace> --no-input install <slug>
 ```
 
 Replace `<slug>` with the skill name from search results. Replace `<nanobot-workspace>` with the
@@ -38,20 +43,34 @@ active workspace for the current nanobot process. This places the skill into
 ## Update
 
 ```bash
-npx --yes clawhub@latest update --all --workdir <nanobot-workspace>
+npx --yes clawhub@latest --workdir <nanobot-workspace> --no-input update --all
 ```
 
 ## List installed
 
 ```bash
-npx --yes clawhub@latest list --workdir <nanobot-workspace>
+npx --yes clawhub@latest --workdir <nanobot-workspace> --no-input list
 ```
 
+## Uninstall from nanobot workspace
+
+Current ClawHub docs do not document a local uninstall subcommand. In nanobot, remove a
+workspace-installed skill with:
+
+```text
+/skill uninstall <slug>
+```
+
+This deletes `<nanobot-workspace>/skills/<slug>` and best-effort prunes
+`<nanobot-workspace>/.clawhub/lock.json`.
+
 ## Notes
 
-- Requires Node.js (`npx` comes with it).
+- Search uses the public registry API directly and does not require Node.js.
+- Install/list/update require Node.js (`npx` comes with it).
 - No API key needed for search and install.
 - Login (`npx --yes clawhub@latest login`) is only required for publishing.
 - `--workdir <nanobot-workspace>` is critical — without it, skills install to the current directory
   instead of the active nanobot workspace.
+- Keep global options before the subcommand: `--workdir ... --no-input install ...`.
 - After install, remind the user to start a new session to load the skill.

tests/test_consolidate_offset.py

@@ -1,10 +1,11 @@
 """Test session management with cache-friendly message handling."""
 
 import asyncio
+from pathlib import Path
 from unittest.mock import AsyncMock, MagicMock
 
 import pytest
-from pathlib import Path
+
 from nanobot.session.manager import Session, SessionManager
 
 # Test constants

tests/test_restart_command.py

@@ -8,7 +8,7 @@ from unittest.mock import AsyncMock, MagicMock, patch
 
 import pytest
 
-from nanobot.bus.events import InboundMessage, OutboundMessage
+from nanobot.bus.events import InboundMessage
 from nanobot.providers.base import LLMResponse
 
 

tests/test_skill_commands.py

@@ -5,6 +5,7 @@ from __future__ import annotations
 from pathlib import Path
 from unittest.mock import AsyncMock, MagicMock, patch
 
+import httpx
 import pytest
 
 from nanobot.bus.events import InboundMessage
@@ -38,68 +39,157 @@ class _FakeProcess:
         self.killed = True
 
 
-@pytest.mark.asyncio
-async def test_skill_search_runs_clawhub_search(tmp_path: Path) -> None:
-    loop = _make_loop(tmp_path)
-    proc = _FakeProcess(stdout="skill-a\nskill-b")
-    create_proc = AsyncMock(return_value=proc)
+class _FakeAsyncClient:
+    def __init__(self, *, response: httpx.Response | None = None, error: Exception | None = None) -> None:
+        self.response = response
+        self.error = error
+        self.calls: list[dict[str, object]] = []
 
-    with patch("nanobot.agent.loop.shutil.which", return_value="/usr/bin/npx"), \
-         patch("nanobot.agent.loop.asyncio.create_subprocess_exec", create_proc):
+    async def __aenter__(self) -> _FakeAsyncClient:
+        return self
+
+    async def __aexit__(self, exc_type, exc, tb) -> bool:
+        return False
+
+    async def get(self, url: str, *, params: dict[str, str] | None = None, headers: dict[str, str] | None = None):
+        self.calls.append({"url": url, "params": params, "headers": headers})
+        if self.error is not None:
+            raise self.error
+        assert self.response is not None
+        return self.response
+
+
+@pytest.mark.asyncio
+async def test_skill_search_uses_registry_api(tmp_path: Path) -> None:
+    loop = _make_loop(tmp_path)
+    request = httpx.Request("GET", "https://lightmake.site/api/skills")
+    response = httpx.Response(
+        200,
+        request=request,
+        json={
+            "code": 0,
+            "data": {
+                "skills": [
+                    {
+                        "name": "News Aggregator Skill",
+                        "slug": "news-aggregator-skill",
+                        "ownerName": "cclank",
+                        "installs": 667,
+                        "stars": 19,
+                        "version": "0.1.0",
+                        "description": "Fetches and analyzes real-time news.",
+                        "description_zh": "抓取并分析实时新闻。",
+                        "homepage": "https://clawhub.ai/cclank/news-aggregator-skill",
+                    }
+                ],
+                "total": 42,
+            },
+            "message": "success",
+        },
+    )
+    client = _FakeAsyncClient(response=response)
+    create_proc = AsyncMock()
+
+    with patch("nanobot.agent.commands.skill.httpx.AsyncClient", return_value=client), \
+         patch("nanobot.agent.commands.skill.asyncio.create_subprocess_exec", create_proc):
         response = await loop._process_message(
             InboundMessage(channel="cli", sender_id="user", chat_id="direct", content="/skill search web scraping")
         )
 
     assert response is not None
-    assert response.content == "skill-a\nskill-b"
-    assert create_proc.await_count == 1
-    args = create_proc.await_args.args
-    assert args == (
-        "/usr/bin/npx",
-        "--yes",
-        "clawhub@latest",
-        "search",
-        "web scraping",
-        "--limit",
-        "5",
-    )
-    env = create_proc.await_args.kwargs["env"]
-    assert env["npm_config_cache"].endswith("nanobot-npm-cache")
-    assert env["npm_config_fetch_retries"] == "0"
-    assert env["npm_config_fetch_timeout"] == "5000"
+    assert 'Found 42 skills for "web scraping"' in response.content
+    assert "slug: news-aggregator-skill | owner: cclank | installs: 667 | stars: 19 | version: 0.1.0" in response.content
+    assert "https://clawhub.ai/cclank/news-aggregator-skill" in response.content
+    assert create_proc.await_count == 0
+    assert client.calls == [
+        {
+            "url": "https://lightmake.site/api/skills",
+            "params": {
+                "page": "1",
+                "pageSize": "5",
+                "sortBy": "score",
+                "order": "desc",
+                "keyword": "web scraping",
+            },
+            "headers": {
+                "accept": "*/*",
+                "accept-language": "en-US,en;q=0.9",
+                "origin": "https://skillhub.tencent.com",
+                "referer": "https://skillhub.tencent.com/",
+            },
+        }
+    ]
 
 
 @pytest.mark.asyncio
-async def test_skill_search_surfaces_npm_network_errors(tmp_path: Path) -> None:
+async def test_skill_retries_after_clearing_corrupted_npx_cache(tmp_path: Path) -> None:
     loop = _make_loop(tmp_path)
-    proc = _FakeProcess(
+    broken_proc = _FakeProcess(
         returncode=1,
         stderr=(
-            "npm error code EAI_AGAIN\n"
-            "npm error request to https://registry.npmjs.org/clawhub failed"
+            "node:internal/modules/esm/resolve:201\n"
+            "Error: Cannot find package "
+            "'/tmp/nanobot-npm-cache/_npx/a92a6dbcf543fba6/node_modules/log-symbols/index.js' "
+            "imported from "
+            "'/tmp/nanobot-npm-cache/_npx/a92a6dbcf543fba6/node_modules/ora/index.js'\n"
+            "code: 'ERR_MODULE_NOT_FOUND'"
         ),
     )
-    create_proc = AsyncMock(return_value=proc)
+    recovered_proc = _FakeProcess(stdout="demo-skill")
+    create_proc = AsyncMock(side_effect=[broken_proc, recovered_proc])
 
-    with patch("nanobot.agent.loop.shutil.which", return_value="/usr/bin/npx"), \
-         patch("nanobot.agent.loop.asyncio.create_subprocess_exec", create_proc):
+    with patch("nanobot.agent.commands.skill.shutil.which", return_value="/usr/bin/npx"), \
+         patch("nanobot.agent.commands.skill.asyncio.create_subprocess_exec", create_proc), \
+         patch("nanobot.agent.commands.skill.shutil.rmtree") as remove_tree:
+        response = await loop._process_message(
+            InboundMessage(channel="cli", sender_id="user", chat_id="direct", content="/skill list")
+        )
+
+    assert response is not None
+    assert response.content == "demo-skill"
+    assert create_proc.await_count == 2
+    env = create_proc.await_args_list[0].kwargs["env"]
+    remove_tree.assert_called_once_with(Path(env["npm_config_cache"]) / "_npx", ignore_errors=True)
+
+
+@pytest.mark.asyncio
+async def test_skill_search_surfaces_registry_request_errors(tmp_path: Path) -> None:
+    loop = _make_loop(tmp_path)
+    request = httpx.Request("GET", "https://lightmake.site/api/skills")
+    client = _FakeAsyncClient(
+        error=httpx.ConnectError(
+            "temporary failure in name resolution",
+            request=request,
+        )
+    )
+    create_proc = AsyncMock()
+
+    with patch("nanobot.agent.commands.skill.httpx.AsyncClient", return_value=client), \
+         patch("nanobot.agent.commands.skill.asyncio.create_subprocess_exec", create_proc):
         response = await loop._process_message(
             InboundMessage(channel="cli", sender_id="user", chat_id="direct", content="/skill search test")
         )
 
     assert response is not None
-    assert "could not reach the npm registry" in response.content
-    assert "EAI_AGAIN" in response.content
+    assert "ClawHub search request failed" in response.content
+    assert "temporary failure in name resolution" in response.content
+    assert create_proc.await_count == 0
 
 
 @pytest.mark.asyncio
 async def test_skill_search_empty_output_returns_no_results(tmp_path: Path) -> None:
     loop = _make_loop(tmp_path)
-    proc = _FakeProcess(stdout="")
-    create_proc = AsyncMock(return_value=proc)
+    request = httpx.Request("GET", "https://lightmake.site/api/skills")
+    response = httpx.Response(
+        200,
+        request=request,
+        json={"code": 0, "data": {"skills": [], "total": 0}, "message": "success"},
+    )
+    client = _FakeAsyncClient(response=response)
+    create_proc = AsyncMock()
 
-    with patch("nanobot.agent.loop.shutil.which", return_value="/usr/bin/npx"), \
-         patch("nanobot.agent.loop.asyncio.create_subprocess_exec", create_proc):
+    with patch("nanobot.agent.commands.skill.httpx.AsyncClient", return_value=client), \
+         patch("nanobot.agent.commands.skill.asyncio.create_subprocess_exec", create_proc):
         response = await loop._process_message(
             InboundMessage(
                 channel="cli",
@@ -111,6 +201,7 @@ async def test_skill_search_empty_output_returns_no_results(tmp_path: Path) -> N
 
     assert response is not None
     assert 'No skills found for "selfimprovingagent"' in response.content
+    assert create_proc.await_count == 0
 
 
 @pytest.mark.asyncio
@@ -122,11 +213,6 @@ async def test_skill_search_empty_output_returns_no_results(tmp_path: Path) -> N
             ("install", "demo-skill"),
             "Installed demo-skill",
         ),
-        (
-            "/skill uninstall demo-skill",
-            ("uninstall", "demo-skill", "--yes"),
-            "Uninstalled demo-skill",
-        ),
         (
             "/skill list",
             ("list",),
@@ -146,8 +232,8 @@ async def test_skill_commands_use_active_workspace(
     proc = _FakeProcess(stdout=expected_output)
     create_proc = AsyncMock(return_value=proc)
 
-    with patch("nanobot.agent.loop.shutil.which", return_value="/usr/bin/npx"), \
-         patch("nanobot.agent.loop.asyncio.create_subprocess_exec", create_proc):
+    with patch("nanobot.agent.commands.skill.shutil.which", return_value="/usr/bin/npx"), \
+         patch("nanobot.agent.commands.skill.asyncio.create_subprocess_exec", create_proc):
         response = await loop._process_message(
             InboundMessage(channel="cli", sender_id="user", chat_id="direct", content=command)
         )
@@ -156,11 +242,37 @@ async def test_skill_commands_use_active_workspace(
     assert expected_output in response.content
     args = create_proc.await_args.args
     assert args[:3] == ("/usr/bin/npx", "--yes", "clawhub@latest")
-    assert args[3:] == (*expected_args, "--workdir", str(tmp_path))
+    assert args[3:] == ("--workdir", str(tmp_path), "--no-input", *expected_args)
     if command != "/skill list":
         assert f"Applied to workspace: {tmp_path}" in response.content
 
 
+@pytest.mark.asyncio
+async def test_skill_uninstall_removes_local_workspace_skill_and_prunes_lockfile(tmp_path: Path) -> None:
+    loop = _make_loop(tmp_path)
+    skill_dir = tmp_path / "skills" / "demo-skill"
+    skill_dir.mkdir(parents=True)
+    (skill_dir / "SKILL.md").write_text("# demo", encoding="utf-8")
+    lock_dir = tmp_path / ".clawhub"
+    lock_dir.mkdir()
+    lock_path = lock_dir / "lock.json"
+    lock_path.write_text(
+        '{"skills":{"demo-skill":{"version":"1.0.0"},"other-skill":{"version":"2.0.0"}}}',
+        encoding="utf-8",
+    )
+
+    response = await loop._process_message(
+        InboundMessage(channel="cli", sender_id="user", chat_id="direct", content="/skill uninstall demo-skill")
+    )
+
+    assert response is not None
+    assert "Removed local skill demo-skill" in response.content
+    assert "Updated ClawHub lockfile" in response.content
+    assert not skill_dir.exists()
+    assert '"demo-skill"' not in lock_path.read_text(encoding="utf-8")
+    assert '"other-skill"' in lock_path.read_text(encoding="utf-8")
+
+
 @pytest.mark.asyncio
 async def test_skill_help_includes_skill_command(tmp_path: Path) -> None:
     loop = _make_loop(tmp_path)
@@ -177,7 +289,7 @@ async def test_skill_help_includes_skill_command(tmp_path: Path) -> None:
 async def test_skill_missing_npx_returns_guidance(tmp_path: Path) -> None:
     loop = _make_loop(tmp_path)
 
-    with patch("nanobot.agent.loop.shutil.which", return_value=None):
+    with patch("nanobot.agent.commands.skill.shutil.which", return_value=None):
         response = await loop._process_message(
             InboundMessage(channel="cli", sender_id="user", chat_id="direct", content="/skill list")
         )