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Agent Skill · 研究检索

picoclaw-ai-assistant(picoclawAI 助手)

picoclaw-ai-assistant 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。

picoclaw-ai-assistant 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 5,236。

总安装 26,928周安装 1,142GitHub Stars 39下载 8,624核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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-ai-assistant(picoclawAI 助手)
来源仓库:https://github.com/aradotso/trending-skills
仓库路径:skills/picoclaw-ai-assistant
安装命令:
npx skills add https://github.com/aradotso/trending-skills --skill picoclaw-ai-assistant
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/aradotso/trending-skills --skill picoclaw-ai-assistant

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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-ai-assistant 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/picoclaw-ai-assistant

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/aradotso/trending-skills --skill picoclaw-ai-a…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

picoclaw-ai-assistant 怎么安装?

在终端执行 npx skills add https://github.com/aradotso/trending-skills --skill picoclaw-ai-assistant。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

picoclaw-ai-assistant 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

picoclaw-ai-assistant 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

picoclaw-ai-assistant 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

picoclaw-ai-assistant 用的人多吗?

公开数据是累计安装 26,928 次,近一周安装 1,142 次,下载 8,624 次,GitHub 39 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

picoclaw-ai-assistant 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
picoclaw-ai-assistant

picoclawAI 助手 · 本页

26,92839接触敏感数据未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

PicoClaw AI Assistant

Skill by ara.so — Daily 2026 Skills collection.

PicoClaw is an ultra-lightweight personal AI assistant written in Go. It runs on $10 hardware with under 10MB RAM and boots in under 1 second. It supports multiple LLM providers (OpenAI-compatible, Anthropic, Volcengine), optional web search tools, and deploys as a single self-contained binary on x86_64, ARM64, MIPS, and RISC-V Linux devices.


Installation

Precompiled Binary

Download from the releases page:

# Linux ARM64 (Raspberry Pi, LicheeRV-Nano, etc.)
wget https://github.com/sipeed/picoclaw/releases/download/v0.1.1/picoclaw-linux-arm64
chmod +x picoclaw-linux-arm64
./picoclaw-linux-arm64 onboard

Build from Source

git clone https://github.com/sipeed/picoclaw.git
cd picoclaw

# Install dependencies
make deps

# Build for current platform
make build

# Build for all platforms
make build-all

# Raspberry Pi Zero 2 W — 32-bit
make build-linux-arm      # → build/picoclaw-linux-arm

# Raspberry Pi Zero 2 W — 64-bit
make build-linux-arm64    # → build/picoclaw-linux-arm64

# Build both Pi Zero variants
make build-pi-zero

# Build and install to system PATH
make install

Docker Compose

git clone https://github.com/sipeed/picoclaw.git
cd picoclaw

# First run — generates docker/data/config.json then exits
docker compose -f docker/docker-compose.yml --profile gateway up

# Edit config
vim docker/data/config.json

# Start in background
docker compose -f docker/docker-compose.yml --profile gateway up -d

# View logs
docker compose -f docker/docker-compose.yml logs -f picoclaw-gateway

# Stop
docker compose -f docker/docker-compose.yml --profile gateway down
Docker: Web Console (Launcher Mode)
docker compose -f docker/docker-compose.yml --profile launcher up -d
# Open http://localhost:18800
Docker: One-shot Agent Mode
# Single question
docker compose -f docker/docker-compose.yml run --rm picoclaw-agent -m "What is 2+2?"

# Interactive session
docker compose -f docker/docker-compose.yml run --rm picoclaw-agent
Docker: Expose Gateway to Host

If the gateway needs to be reachable from the host, set:

PICOCLAW_GATEWAY_HOST=0.0.0.0 docker compose -f docker/docker-compose.yml --profile gateway up -d

Or set PICOCLAW_GATEWAY_HOST=0.0.0.0 in docker/data/config.json.

Termux (Android)

pkg install wget proot
wget https://github.com/sipeed/picoclaw/releases/download/v0.1.1/picoclaw-linux-arm64
chmod +x picoclaw-linux-arm64
termux-chroot ./picoclaw-linux-arm64 onboard

Quick Start

1. Initialize

picoclaw onboard

This creates ~/.picoclaw/config.json with a starter configuration.

2. Configure ~/.picoclaw/config.json

{
  "agents": {
    "defaults": {
      "workspace": "~/.picoclaw/workspace",
      "model_name": "gpt-4o",
      "max_tokens": 8192,
      "temperature": 0.7,
      "max_tool_iterations": 20
    }
  },
  "model_list": [
    {
      "model_name": "gpt-4o",
      "model": "openai/gpt-4o",
      "api_key": "$OPENAI_API_KEY",
      "request_timeout": 300
    },
    {
      "model_name": "claude-sonnet",
      "model": "anthropic/claude-sonnet-4-5",
      "api_key": "$ANTHROPIC_API_KEY"
    },
    {
      "model_name": "ark-code",
      "model": "volcengine/ark-code-latest",
      "api_key": "$VOLCENGINE_API_KEY",
      "api_base": "https://ark.cn-beijing.volces.com/api/coding/v3"
    }
  ],
  "tools": {
    "web": {
      "brave": {
        "enabled": false,
        "api_key": "$BRAVE_API_KEY"
      },
      "tavily": {
        "enabled": false,
        "api_key": "$TAVILY_API_KEY"
      }
    }
  }
}
Never hard-code API keys. Reference environment variables using $VAR_NAME notation in config, or set them in your shell environment before launch.

3. Run

# Interactive chat
picoclaw

# Single message
picoclaw -m "Summarize the latest Go release notes"

# Use a specific model
picoclaw -model claude-sonnet -m "Refactor this function for clarity"

Key CLI Commands

CommandDescription
picoclaw onboardInitialize config and workspace
picoclawStart interactive chat session
picoclaw -m "..."Send a single message and exit
picoclaw -model <name>Override the default model
picoclaw -config <path>Use a custom config file

Configuration Reference

Model Entry Fields

{
  "model_name": "my-model",        // Alias used in -model flag and agent defaults
  "model": "provider/model-id",    // Provider-prefixed model identifier
  "api_key": "$ENV_VAR",           // API key — use env var reference
  "api_base": "https://...",       // Optional: override base URL (for self-hosted or regional endpoints)
  "request_timeout": 300           // Optional: seconds before timeout
}

Supported Provider Prefixes

PrefixProvider
openai/OpenAI and OpenAI-compatible APIs
anthropic/Anthropic Claude
volcengine/Volcengine (Ark)

Agent Defaults

"agents": {
  "defaults": {
    "workspace": "~/.picoclaw/workspace",  // Working directory for file operations
    "model_name": "gpt-4o",                // Default model alias
    "max_tokens": 8192,                    // Max response tokens
    "temperature": 0.7,                    // Sampling temperature
    "max_tool_iterations": 20              // Max agentic tool-call loop iterations
  }
}

Web Search Tools

Get free API keys:

"tools": {
  "web": {
    "tavily": {
      "enabled": true,
      "api_key": "$TAVILY_API_KEY"
    },
    "brave": {
      "enabled": false,
      "api_key": "$BRAVE_API_KEY"
    }
  }
}

Only enable one search provider at a time unless you want fallback behavior.


Common Patterns

Pattern: Minimal $10 Device Setup

For a LicheeRV-Nano or similar ultra-low-resource board:

# Download the RISC-V or ARM binary from releases
wget https://github.com/sipeed/picoclaw/releases/download/v0.1.1/picoclaw-linux-riscv64
chmod +x picoclaw-linux-riscv64

# Initialize
./picoclaw-linux-riscv64 onboard

# Edit config — use a lightweight model, low max_tokens
cat > ~/.picoclaw/config.json << 'EOF'
{
  "agents": {
    "defaults": {
      "workspace": "~/.picoclaw/workspace",
      "model_name": "gpt-4o-mini",
      "max_tokens": 2048,
      "temperature": 0.5,
      "max_tool_iterations": 10
    }
  },
  "model_list": [
    {
      "model_name": "gpt-4o-mini",
      "model": "openai/gpt-4o-mini",
      "api_key": "$OPENAI_API_KEY",
      "request_timeout": 120
    }
  ]
}
EOF

./picoclaw-linux-riscv64

Pattern: Full-Stack Dev Assistant with Web Search

{
  "agents": {
    "defaults": {
      "workspace": "~/projects",
      "model_name": "claude-sonnet",
      "max_tokens": 8192,
      "temperature": 0.3,
      "max_tool_iterations": 30
    }
  },
  "model_list": [
    {
      "model_name": "claude-sonnet",
      "model": "anthropic/claude-sonnet-4-5",
      "api_key": "$ANTHROPIC_API_KEY",
      "request_timeout": 600
    }
  ],
  "tools": {
    "web": {
      "tavily": {
        "enabled": true,
        "api_key": "$TAVILY_API_KEY"
      }
    }
  }
}

Pattern: Docker with Environment Variables

# docker/docker-compose.override.yml
services:
  picoclaw-gateway:
    environment:
      - OPENAI_API_KEY=${OPENAI_API_KEY}
      - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
      - TAVILY_API_KEY=${TAVILY_API_KEY}
      - PICOCLAW_GATEWAY_HOST=0.0.0.0
export OPENAI_API_KEY=sk-...
export ANTHROPIC_API_KEY=sk-ant-...
docker compose -f docker/docker-compose.yml -f docker/docker-compose.override.yml --profile gateway up -d

Pattern: Build for a Specific Target in Go

# Cross-compile for MIPS (OpenWRT routers)
GOOS=linux GOARCH=mips GOMIPS=softfloat go build -o build/picoclaw-linux-mips ./cmd/picoclaw

# Cross-compile for 32-bit ARM (older Raspberry Pi)
GOOS=linux GOARCH=arm GOARM=7 go build -o build/picoclaw-linux-arm ./cmd/picoclaw

# Cross-compile for RISC-V 64-bit
GOOS=linux GOARCH=riscv64 go build -o build/picoclaw-linux-riscv64 ./cmd/picoclaw

Troubleshooting

Binary won't execute on device

# Verify the binary matches the device architecture
file picoclaw-linux-arm64
uname -m   # Should match: aarch64 = arm64, x86_64 = amd64

# Ensure executable permission
chmod +x picoclaw-linux-arm64

"Permission denied" on Termux

Termux requires proot for some system calls:

pkg install proot
termux-chroot ./picoclaw-linux-arm64 onboard

API key not recognized

  • Do not use "api_key": "sk-..." literals in config — set env vars and reference them as "$OPENAI_API_KEY".
  • Verify the env var is exported in your current shell: echo $OPENAI_API_KEY.

Docker gateway not reachable from host

Set PICOCLAW_GATEWAY_HOST=0.0.0.0 in the environment or in config.json before starting the container.

High memory usage in recent versions

The project notes that recent PRs may push RAM usage to 10–20MB. If this is a concern on ultra-low-memory devices, pin to an earlier release tag:

git checkout v0.1.1
make build

Config file location

Default: ~/.picoclaw/config.json

Override at runtime:

picoclaw -config /path/to/custom-config.json

Rebuild after dependency changes

cd picoclaw
make deps
make build

Hardware Targets Quick Reference

DevicePriceBinary
LicheeRV-Nano (E/W)~$10picoclaw-linux-riscv64
NanoKVM~$30–50picoclaw-linux-riscv64
MaixCAM / MaixCAM2~$50–100picoclaw-linux-arm64
Raspberry Pi Zero 2 W (32-bit OS)~$15picoclaw-linux-arm
Raspberry Pi Zero 2 W (64-bit OS)~$15picoclaw-linux-arm64
Android via Termux—picoclaw-linux-arm64
Standard Linux x86_64—picoclaw-linux-amd64

平台分布

Codex

35.31%
按下载量换算3,045

Claude

29.27%
按下载量换算2,524

Cursor

18.97%
按下载量换算1,636

Gemini CLI

10%
按下载量换算862

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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