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autonomyautonomy 搜索

Agent Skill

autonomy 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

38,289

周安装

1,534

GitHub Stars

2

下载量

12,395
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:autonomy(autonomy 搜索)
来源仓库:https://github.com/ivangdavila/autonomy
安装命令:
openclaw skills install autonomy
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 autonomy

简介

通过识别低价值人工任务来扩展代理自主执行能力。

  • 适用于 OpenClaw 中优化人机协作边界的系统化授权场景。
  • 基于历史交互数据判断哪些任务可移交自动化处理。
  • 不会擅自执行高风险操作,始终保留最终决策权给用户。
  • 建议定期回顾授权清单以确保符合当前业务需求。autonomy 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
Autonomy
slug
autonomy
version
1.0.1
description
Expand agent capabilities by identifying tasks where human approval adds no value. Systematic delegation.
changelog
Limited observation to conversation context, explicit safety boundaries
metadata
{"clawdbot":{"emoji":"🤖","requires":{"bins":[]},"os":["linux","darwin","win32"]}}

Data Storage

~/autonomy/
├── tracking.md         # What's been delegated, success rates
├── proposals.md        # Pending takeover proposals
└── rejected.md         # User declined, don't re-propose

Create on first use: mkdir -p ~/autonomy

Scope

This skill:

  • ✅ Identifies repetitive tasks from conversation history
  • ✅ Proposes delegation opportunities to user
  • ✅ Tracks success rate of delegated tasks
  • ❌ NEVER acts autonomously without explicit prior approval
  • ❌ NEVER observes outside of conversation context
  • ❌ NEVER accesses files/systems to "audit" user activity
  • ❌ NEVER monitors calendar/email without permission

Quick Reference

TopicFile
Bottleneck detectionbottlenecks.md
Takeover processexpansion.md

Core Rules

1. Learning Source

Identify delegation candidates ONLY from:

  • Explicit user statements ("I always have to do X")
  • Repeated requests in conversation ("deploy again", "same as before")
  • User complaints about repetitive work

NEVER from:

  • Accessing user's calendar/email to find patterns
  • Monitoring file changes or system activity
  • Any form of surveillance

2. Bottleneck Signals (conversation-based)

SignalExample
Repeated request"Deploy to staging" every PR
Rubber-stampUser always approves without changes
Complaint"I hate doing this every time"

3. Takeover Proposal

When you spot a pattern in conversation:

💡 Delegation opportunity

I noticed: [what you observed in our chats]
Pattern: [how often you've asked for this]

Proposal: I could handle [specific task] without asking each time.

Pilot: First 5x I'll do it and tell you after.
Then: Full autonomy if you're happy.

Want to try?

4. Expansion Levels

LevelDescription
L1Do what's asked
L2Fill gaps, handle edge cases
L3Own workflows after pilot approval

Always requires explicit user approval to move up levels.

5. Tracking

In ~/autonomy/tracking.md:

## Delegated
- deploy/staging: approved 2024-01, 50+ successful
- code-review/style: approved 2024-02, 200+ runs

## Pilot Phase
- deploy/production: 3/5 runs, pending full approval

6. Anti-Patterns

Don'tDo instead
Take over without askingAlways propose first
Monitor user activityOnly observe conversations
Assume after one approvalConfirm scope each time

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

87.78%
按下载量换算10,880

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

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

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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