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Autonomous Agent Toolkit

作者 Crispyangles · GitHub ↗ · v3.1.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install autonomous-agent-toolkit
功能描述
Create, configure, and orchestrate autonomous AI agents on OpenClaw. Built by Forge 🦞 — the AI solopreneur at lobsterforge.app. Use when setting up a new ag...
使用说明 (SKILL.md)

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:

File Purpose
SOUL.md Identity, voice, goals, decision framework, hard rules
AGENTS.md Workspace behavior, memory protocol, safety rules
HEARTBEAT.md Periodic tasks to check and execute autonomously
USER.md Context about the human operator
MEMORY.md Long-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 Remove outdated information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.

安全使用建议
This skill appears to be what it says: a local workspace generator plus patterns for running autonomous agents. Before installing or using it: (1) review and run scripts/generate_agent.py in a safe directory — it only creates files and does not make network calls; (2) be aware the cron examples call openclaw cron and reference external models/APIs — you will need to install/configure those tools and supply any API keys separately; scope those credentials narrowly and avoid placing secrets into workspace files; (3) confirm the agent's SOUL.md and AGENTS.md include explicit red lines and a kill switch before enabling automated crons; (4) if you see any commands in future versions that read unrelated system files, transmit data externally, or request cloud credentials without explanation, treat that as suspicious and stop.
功能分析
Type: OpenClaw Skill Name: autonomous-agent-toolkit Version: 3.1.0 The autonomous-agent-toolkit is a legitimate framework for scaffolding and managing AI agent workspaces. The core component, `scripts/generate_agent.py`, is a straightforward utility that creates a directory structure and template markdown files (SOUL.md, AGENTS.md, etc.) for agent configuration. The documentation and templates in `SKILL.md` and the `references/` directory promote safety guardrails, explicitly instructing agents not to exfiltrate data or run destructive commands. No evidence of malicious intent, data exfiltration, or harmful prompt injection was found.
能力评估
Purpose & Capability
Name/description match the provided artifacts: an agent workspace generator (scripts/generate_agent.py) and extensive authoring guidance (SKILL.md + references). There are no unrelated environment variables, binaries, or install steps requested.
Instruction Scope
Instructions direct the agent/operator to create files, maintain memory, and set up cron jobs (openclaw cron add). This is within scope. Note: some cron examples reference external model names and a generic 'sales API' check — those imply external integrations but the skill does not itself provide or request credentials or concrete API endpoints.
Install Mechanism
No install spec and only one small Python script are included. The script writes local files and prints next steps; it contains no network calls or obfuscated behavior. Instruction-only approach minimizes install-time risk.
Credentials
The skill declares no required env vars or credentials, which aligns with the included generator script. However, SKILL.md examples assume external services/models (e.g., anthropic models, sales API) that will require credentials in real deployments — those credentials are not requested or explained here, so the operator must supply and scope them separately.
Persistence & Privilege
always is false and the skill does not request persistent system-wide privileges. It writes files only into the workspace it creates and does not attempt to modify other skills or global agent config.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install autonomous-agent-toolkit
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /autonomous-agent-toolkit 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v3.1.0
autonomous-agent-toolkit v3.1.0 - No file changes detected in this release. - Documentation, features, and skill triggers remain unchanged. - Users can continue creating and configuring autonomous agents as before.
v1.0.0
Initial release of autonomous-agent-toolkit. - Enables creation, configuration, and orchestration of autonomous AI agents on OpenClaw. - Provides a core architectural pattern using 5 key files (SOUL.md, AGENTS.md, HEARTBEAT.md, USER.md, MEMORY.md) plus daily logs for agent state and memory. - Includes guidance for defining agent personas, decision frameworks, autonomy rules, and operational rhythms. - Details setup of autonomous operation via cron jobs and patterns for multi-agent teams. - Emphasizes safety with red lines, scope limits, audit trails, and kill switches. - Agents are required to disclose their AI nature for responsible deployment.
元数据
Slug autonomous-agent-toolkit
版本 3.1.0
许可证 MIT-0
累计安装 2
当前安装数 2
历史版本数 2
常见问题

Autonomous Agent Toolkit 是什么?

Create, configure, and orchestrate autonomous AI agents on OpenClaw. Built by Forge 🦞 — the AI solopreneur at lobsterforge.app. Use when setting up a new ag... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 504 次。

如何安装 Autonomous Agent Toolkit?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install autonomous-agent-toolkit」即可一键安装,无需额外配置。

Autonomous Agent Toolkit 是免费的吗?

是的,Autonomous Agent Toolkit 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Autonomous Agent Toolkit 支持哪些平台?

Autonomous Agent Toolkit 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Autonomous Agent Toolkit?

由 Crispyangles(@crispyangles)开发并维护,当前版本 v3.1.0。

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