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picoclawpicoclaw 搜索

Agent Skill

picoclaw 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

441

周安装

18

GitHub Stars

14

下载量

141
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:picoclaw(picoclaw 搜索)
来源仓库:https://github.com/itechmeat/llm-code
仓库路径:skills/picoclaw
安装命令:
npx skills add https://github.com/itechmeat/llm-code --skill picoclaw
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/itechmeat/llm-code --skill picoclaw

简介

用于查找、检索和筛选相关信息,适合快速定位候选结果。

  • 适用于在 Codex、Claude、Cursor、Gemini CLI 中根据关键词或任务场景进行信息检索。
  • 可结合来源仓库和原始 README 核验具体用法。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • picoclaw 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

PicoClaw

PicoClaw is an ultra-lightweight AI assistant written in Go. This skill is a practical operator playbook for running the CLI, configuring ~/.picoclaw/config.json, and operating gateway + channels.

Links

Quick navigation

  • Getting started + common commands: references/quickstart.md
  • Config (model_list, tools, gateway, channels, bindings): references/config.md
  • Tools (web search, exec guardrails, registries): references/tools.md
  • Auth flows (OpenAI OAuth, Google Antigravity OAuth, token): references/auth.md
  • Gateway operations (health/ready, cron, heartbeat, voice): references/gateway.md
  • Channels (Telegram/Discord/WeCom/Feishu/OneBot/etc): references/channels.md
  • Skills management (install/list/remove, channel commands): references/skills.md
  • Hook system (observers, interceptors, approvers): references/hooks.md
  • Cron scheduling via CLI: references/cron.md
  • Migration notes: references/migration.md
  • Troubleshooting: references/troubleshooting.md

When to use

Use when you need to:

  • Bootstrap PicoClaw on a host (onboard → config → run)
  • Switch providers/models via model_list
  • Run the agent in CLI mode or operate gateway
  • Enable chat channels (Telegram/Discord/Slack/WeCom/...)
  • Send outbound notifications to Microsoft Teams via webhook targets
  • Configure tools (web search, exec deny patterns, skills registries)
  • Install/remove skills into the workspace
  • Use skill channel commands (/list skills, /use <skill>)
  • Configure hook system (observers, interceptors, approvers)
  • Configure agent bindings (route messages to different agents)
  • Schedule recurring jobs (cron)

Recipes

1) Initialize + verify

  • Create initial config and workspace templates:

- picoclaw onboard

  • Verify what’s configured:

- picoclaw status

2) Chat from CLI

  • One-shot:

- picoclaw agent -m "Hello"

  • Interactive:

- picoclaw agent

3) Run gateway (channels + cron + health)

  • Start gateway:

- picoclaw gateway

  • Debug logs:

- picoclaw gateway --debug

4) Manage auth

  • OpenAI OAuth (optionally device-code for headless):

- picoclaw auth login --provider openai - picoclaw auth login --provider openai --device-code

  • Google Antigravity OAuth:

- picoclaw auth login --provider google-antigravity

  • Check status / list models:

- picoclaw auth status - picoclaw auth models

5) Install skills

  • List installed skills:

- picoclaw skills list

  • Install from GitHub repo slug:

- picoclaw skills install sipeed/picoclaw-skills/weather

  • Install from registry:

- picoclaw skills install --registry clawhub github

6) Add a scheduled job

  • Create a cron job:

- picoclaw cron add --name "Daily report" --cron "0 9 * * *" --message "Summarize my inbox"

  • List jobs:

- picoclaw cron list

Critical safety notes

  • Do not commit real API keys or OAuth tokens into a repo; keep them in ~/.picoclaw/ only.
  • Be cautious enabling the exec tool; keep deny patterns enabled unless you fully trust the environment.
  • Exposing gateway to 0.0.0.0 makes health endpoints reachable from the network; do that only intentionally.

Release Highlights (v0.2.6)

  • Hooks respond action: before_tool hooks can now return a final tool result directly, which is useful for plugin-style tools, caching, or policy-controlled mocks without registering a native tool implementation.
  • Teams outbound channel: teams_webhook adds an output-only Microsoft Teams path with named webhook targets and Adaptive Card rendering for richer notifications.
  • Provider request shaping: model_list[].custom_headers lets you inject extra HTTP headers per model entry, and fallback resolution now uses each fallback candidate's own provider settings.
  • Gateway/web reliability: PID ownership/stale-pid handling was hardened, and the web UI now derives its WebSocket endpoint from the browser-visible location instead of backend assumptions.
  • Channel polish: Feishu reply context was improved for card/file replies, reducing broken follow-up threading in that connector.

Release Highlights (v0.2.4)

  • Hook system: in-process and out-of-process hooks (JSON-RPC over stdio) with observer, LLM interceptor, tool interceptor, and tool approver stages. Configurable via hooks in config.
  • Agent bindings: route incoming messages to different agents by channel/account/context via bindings config section.
  • Skill channel commands: /list skills, /use <skill> <message>, /use <skill> (arm for next message), /use clear.
  • Configurable log level: gateway.log_level (debug/info/warn/error/fatal) in config or PICOCLAW_LOG_LEVEL env var.
  • Voice transcription model: voice.model_name lets you use any multimodal model for audio transcription; Groq Whisper remains as fallback.
  • Security config separation: .security.yml file for storing API keys/tokens separate from config.json.
  • Workspace file hot-reload: AGENT.md, SOUL.md, USER.md, MEMORY.md are auto-detected via mtime tracking — no restart needed.
  • SubTurn error handling and logging improved. Security config precedence fixed during migration.

Links

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

33.68%
按下载量换算47

Claude

31.08%
按下载量换算44

Cursor

16.47%
按下载量换算23

Gemini CLI

9.02%
按下载量换算13

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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