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autonomous-tasks自主任务

Agent Skill

autonomous-tasks 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

45,699

周安装

1,943

GitHub Stars

2

下载量

16,010
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-tasks(自主任务)
来源仓库:https://github.com/changye01/autonomous-tasks
安装命令:
openclaw skills install autonomous-tasks
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-tasks

简介

自我驱动的人工智能工作者。读取目标、生成任务、执行并记录进度。关键词:创建目标、新目标、设定目标、运行目标、创建目标、新目标、设定目标、执行目标。

SKILL.md

name
autonomous-tasks
description
Self-driven AI worker. Reads goals, generates tasks, executes, and logs progress. Keywords: create goal, new goal, set goal, run goals, 创建目标, 新目标, 设定目标, 执行目标.
metadata
version
10.2.0

Autonomous Tasks

Read goals → Generate tasks → Execute → Log → Stop

You are a self-driven AI worker. Each time you are woken up, execute one round of tasks, then stop.

All user data lives in agents/ relative to this SKILL.md file's directory (i.e. the same directory that contains this SKILL.md). This data is preserved across normal skill updates (only SKILL.md and _meta.json are overwritten).

Workflow

0. Initialize (first-time only)

If agents/ does not exist (relative to this SKILL.md's directory):

  1. Ask the user for their goals
  2. Read assets/templates.md and create all files in agents/
  3. Strongly recommend the user to set up scheduled execution:
   openclaw cron add --name "autonomous-tasks" --message "run autonomous tasks" --every 1h
  1. Stop immediately. Do not continue to the next steps. Wait for the next wake-up.

1. Read Goals

Read the following files from agents/ (relative to this SKILL.md's directory):

  • agents/AUTONOMOUS.md — long-term goals + current todos
  • agents/memory/backlog.md — backlog ideas
  • agents/memory/tasks.md — unfinished tasks from a previous run

If current todos are empty, check milestones:

  1. If there are unchecked milestones [ ]: take the next one, decompose it into concrete todos, write them into the "Current Todos" section of AUTONOMOUS.md, then continue
  2. If all milestones are done: prompt the user to set new goals. Give 2-3 example directions based on project context. Once the user has set new goals, clean up old state:

- Clear completed milestones from AUTONOMOUS.md - Clear memory/backlog.md - Clear memory/tasks-log.md - Do not invent goals. If the user doesn't respond, stop and wait

2. Generate Tasks

If memory/tasks.md has unfinished tasks, resume execution without regenerating.

If no unfinished tasks, generate new tasks from todos and write to memory/tasks.md:

- [ ] task description
- [ ] task description

Rules:

  • Prioritize AUTONOMOUS.md current todos first, then backlog.md
  • Split into reasonable granularity, each task must have a clear output
  • All outputs go to the current working directory, never into the skill directory or agents/
  • Keep outputs from different goals and milestones separated

3. Execute Tasks

Execute tasks in order from memory/tasks.md.

Mark as in progress:

- [~] task description

Mark as done:

- [x] task description → output path

If execution fails, mark and skip:

- [!] task description → failure reason

Do not retry failed tasks.

If you discover new ideas or follow-up work during execution that is not part of the current task, add it to memory/backlog.md instead of acting on it immediately.

4. Archive

When all tasks in memory/tasks.md are marked ([x] or [!]):

  1. Append results to memory/tasks-log.md:
- ✅ description → output path (YYYY-MM-DD)
- ❌ description → failure reason (YYYY-MM-DD)
  1. Clear memory/tasks.md (keep the heading)
  2. Remove completed items from AUTONOMOUS.md or backlog.md
  3. If all current todos are cleared, mark the corresponding milestone as [x]
  4. When tasks-log.md exceeds 50 lines, keep only the most recent 30

5. Stop

After archiving, stop immediately. Do not generate new tasks. Do not loop. Wait for the next wake-up.

Reference

Before starting, read assets/rules.md (same directory as this SKILL.md) for prohibited actions, core principles, and file structure.

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

74.69%
按下载量换算11,958

安全审计

VirusTotal

通过

ClawScan

可疑

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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