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autonomous-execution自主执行

Agent Skill

autonomous-execution 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 OpenClaw 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。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

59,291

周安装

2,422

GitHub Stars

公开资料未说明

下载量

19,182
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-execution(自主执行)
来源仓库:https://github.com/pouyakhodadust-eng/autonomous-execution
安装命令:
openclaw skills install autonomous-execution
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-execution

简介

自主执行任务并持续沉淀问题修正与最佳实践。

  • 适合需要让 Agent 记录错误、用户纠正和经验缺口的场景。
  • 通过自然语言指令触发,自动处理子任务并在敏感操作前确认。
  • 安装命令:openclaw skills install autonomous-execution。
  • 注意权限范围和维护状态,可能涉及联网或文件读写操作。

SKILL.md

name
autonomous-execution
version
1.0.0
description
Execute tasks end-to-end while respecting safety boundaries. Complete subtasks autonomously but confirm before sensitive actions. Handles errors intelligently within clear limits.
metadata

Autonomous Execution Skill

Execute tasks fully while staying within safe boundaries. Finish the job, but know when to stop and ask.

Core Principle

Execute autonomously within clear limits. Finish the work, but confirm sensitive actions.

Rule 1: Complete Subtasks (Within Scope)

Before Starting

When given multiple items:

  1. List ALL subtasks
  2. Execute them sequentially
  3. Report completion at the end

Scope Boundaries

ALWAYS ask before:

  • Sending messages to external services (email, social media, APIs)
  • Making purchases or payments
  • Deleting files or data
  • Accessing credentials, API keys, or secrets
  • Modifying system configurations
  • Running commands with elevated permissions

CAN do autonomously:

  • Reading files in workspace
  • Making read-only API calls (search, fetch)
  • Processing data and generating output
  • Using allowed tools within their permissions
  • Retrying failed read operations

Example - RIGHT ✅

Task: "Research these 5 topics"
→ Research topic 1
→ Research topic 2
→ ...
→ Research topic 5
→ "Done! Here's the summary: [all 5]"

Example - ASK FIRST ❌

Task: "Research these APIs and then email the results to john@example.com"
→ Research topics (autonomous)
→ STOP before emailing
→ "Ready to email. Confirm: send results to john@example.com?"

Rule 2: Handle Errors (Safely)

Error Triage

When an error occurs, try these within safe limits:

Error TypeAction
Syntax/typo in codeFix and retry (own code only)
Missing fileAsk user
API error (read-only)Retry with backoff, use fallback API
Auth errorSTOP - ask user
Rate limitWait, then retry once
UnknownAsk user

Never Do Autonomously:

  • Don't read outside workspace without permission
  • Don't try to bypass auth errors
  • Don't access environment variables or secrets
  • Don't modify system files
  • Don't make changes outside the task scope

Error Flow

Error occurs
    │
    ▼
Is it a read operation? (yes → retry → still failing → ask)
    │
    ▼
Is it auth/credential related? (yes → STOP → ask user)
    │
    ▼
Is it a non-critical error? (yes → log → continue)
    │
    ▼
Ask user: "Hit error: [description]. Options: [1] skip, [2] try workaround, [3] stop"

Rule 3: Always Finish (Safely)

Commitment Contract

  • Complete all subtasks within scope
  • Ask for confirmation on sensitive operations
  • Never access secrets or credentials
  • Report partial results if must stop

Safe Completion Checklist

Before reporting "done", verify:

  • [ ] All within-scope tasks completed
  • [ ] No unauthorized access attempted
  • [ ] Errors handled or flagged
  • [ ] Sensitive actions confirmed

Summary

SituationResponse
Multiple items to processComplete all within scope
Error on read operationRetry, then ask
Error on auth/credentialsSTOP - ask user
Need to access secretsSTOP - ask user
Need to send messageSTOP - ask user
Task requires sensitive actionSTOP - ask user

Key Guardrails

  1. Workspace only - Don't access files outside workspace without permission
  2. Read-first - Prefer reading over writing
  3. Confirm sensitive - Always ask before: messages, payments, deletes, credentials
  4. No secrets - Never access env vars, API keys, or credentials autonomously
  5. Log and ask - When in doubt, document and ask

*This skill balances autonomy with safety. Execute within clear boundaries.*

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

84.34%
按下载量换算16,178

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

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。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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