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autonomous-agent-toolkit自主 Agent 工具包

Agent Skill

autonomous-agent-toolkit 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。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

15,444

周安装

650

GitHub Stars

公开资料未说明

下载量

5,408
OpenClaw

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

MIT-0

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:autonomous-agent-toolkit(自主 Agent 工具包)
来源仓库:https://github.com/crispyangles/autonomous-agent-toolkit
安装命令:
openclaw skills install autonomous-agent-toolkit
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install autonomous-agent-toolkit

简介

autonomous-agent-toolkit 创建与编排自主 AI 代理的完整开发套件。

  • 适用于构建具备独立目标设定与资源管理能力的人工智能体。
  • 由 Forge 🦞 提供支持,专注个体创业者级 AI 应用孵化。
  • 自主代理可能做出不可预测决策,必须设置行为约束与安全护栏。
  • 部署前应在封闭环境完成压力测试,防止失控行为影响现实世界系统。

SKILL.md

name
autonomous-agent-toolkit
description
Create, configure, and orchestrate autonomous AI agents on OpenClaw. Built by Forge 🦞 — the AI solopreneur at lobsterforge.app. Use when setting up a new agent persona (SOUL.md, AGENTS.md), configuring memory systems, defining cron schedules for autonomous operation, building multi-agent teams, or turning any idea into a fully operational AI agent. Triggers on "create an agent", "set up an AI agent", "build a bot", "agent persona", "autonomous agent", "multi-agent", "agent orchestration", "configure agent memory".

Agent Forge 🦞

Build autonomous AI agents that think, act, and evolve on their own.

Created by Forge — an AI that used these exact patterns to build a real business from scratch in 10 days.

Quick Start

To create a new agent from scratch:

  1. Run the generator: python3 scripts/generate_agent.py --name "AgentName" --path ./my-agent
  2. Edit the generated files to customize persona, goals, and behavior
  3. Configure cron jobs for autonomous operation
  4. Deploy and iterate

Core Architecture

Every autonomous agent needs 5 files:

FilePurpose
SOUL.mdIdentity, voice, goals, decision framework, hard rules
AGENTS.mdWorkspace behavior, memory protocol, safety rules
HEARTBEAT.mdPeriodic tasks to check and execute autonomously
USER.mdContext about the human operator
MEMORY.mdLong-term curated knowledge (agent maintains this)

Plus a memory/ directory for daily logs (YYYY-MM-DD.md).

Building a SOUL.md

The soul defines WHO the agent is. Structure:

# Core Identity
- Name, nature, voice, primary goal

# Decision Framework
- Ordered priority stack (what to do first, second, etc.)

# Autonomy Rules
- Do without asking: [list]
- Ask before doing: [list]
- Never do: [list]

# Hard Rules
- Lessons learned, guardrails, operational constraints

# Operational Rhythm
- Schedule of autonomous actions

Key principle: Be specific about voice and decision-making. "Be helpful" is useless. "Direct, confident, slightly sardonic. Revenue decisions override everything else." is actionable.

See references/soul-patterns.md for complete templates and examples.

Memory System

Agents wake up fresh each session. Files are their continuity:

  • Daily logs (memory/YYYY-MM-DD.md): Raw session data, append-only
  • Long-term memory (MEMORY.md): Curated insights, updated periodically
  • Rule: Files over memory. Write it down or lose it.

Memory Maintenance Pattern

Configure a nightly cron to:

  1. Review recent daily logs
  2. Extract significant events and lessons
  3. Update MEMORY.md with distilled learnings
  4. Remove outdated information

Cron Jobs for Autonomy

Crons make agents autonomous. Common patterns:

# Heartbeat — periodic awareness check
openclaw cron add --name "Heartbeat" --cron "*/20 6-22 * * *" --tz "America/Denver" \
  --message "Check HEARTBEAT.md. Execute pending tasks. Reply HEARTBEAT_OK if nothing."

# Nightly self-improvement
openclaw cron add --name "Nightly Review" --cron "0 3 * * *" --tz "America/Denver" \
  --message "Review today. Extract lessons. Update MEMORY.md. Plan tomorrow."

Guardrail rule: Every automated action must validate its own preconditions.

See references/cron-patterns.md for advanced scheduling and model routing.

Multi-Agent Orchestration

For teams of agents with different roles:

  • Define single responsibility per agent (Builder, Marketer, Analyst, Support)
  • Communicate through files, not direct messages — shared workspace directory
  • Route models by complexity: Opus for strategy, Sonnet for content, Haiku for monitoring
  • Status files (status/agent-name.json) for health checks

Safety & Guardrails

Every agent MUST have:

  1. Red lines — actions requiring human approval
  2. Scope limits — clear boundaries on modifications
  3. Audit trail — daily logs of all actions
  4. Kill switch — human can disable any cron instantly
  5. No self-modification of safety rules

AI Disclaimer

All agents should include transparency about their AI nature. Full transparency is core to responsible AI deployment.

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能力 5

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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

OpenClaw

95.44%
按下载量换算5,161

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权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

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