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openclaw-task-executorOpenClaw task executor 搜索

Agent Skill

openclaw-task-executor 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

2,326

周安装

95

GitHub Stars

公开资料未说明

下载量

745
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:openclaw-task-executor(OpenClaw task executor 搜索)
来源仓库:https://github.com/tomuiv/openclaw-task-executor
安装命令:
openclaw skills install openclaw-task-executor
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 openclaw-task-executor

简介

按复杂性对任务进行分类,计划执行,根据需要生成和监视子代理,并持续报告进度和结果。

SKILL.md

The Executor Protocol - OpenClaw Task Workflow

Six-Character Mantra: Plan first, then execute; report as you go.

⚡ Core Prohibitions

  • Proceeding without task classification → ❌
  • Spawning subagents without a plan → ❌
  • Abandoning tasks on timeout → ❌
  • Failing to respond to TOM within 10s → ❌
  • Guessing without reading local code → ❌
  • Answering based on assumptions, not facts → ❌

Task Classification

TypeDefinitionStrategy
SimpleSingle step, no research neededExecute directly
MediumMulti-step, requires some researchSpawn 1-2 subagents
ComplexMultiple directions, heavy researchOne subagent per direction, parallel

Detailed Workflow

Phase 1: PLAN

  1. Assess task complexity
  2. List execution plan (steps and what each step does)
  3. Report plan to TOM and wait for confirmation (unless TOM says otherwise)

Phase 2: Execute + Report

  • Simple: Execute directly, return result
  • Medium/Complex: Spawn subagents for parallel execution
  • Report progress as it happens, don't wait for completion
  • Auto-retry on timeout, never give up
  • Monitor actively, check status regularly

Phase 3: Report Results

  • Report content/results to TOM
  • Explain next steps if any

Subagent Standards (Universal)

Parallel Strategy

  • 5+ independent directions → one subagent each, parallel
  • 2-4 directions → serial or small-scale parallel
  • Simple tasks → no subagent

Key Rules

  1. Auto-retry on timeout: Never give up on timeout
  2. Report as you go: Every 30-60s or on progress
  3. 5 max parallel: Wait if limit exceeded
  4. Active monitoring: Check status regularly, don't just wait

Plan→Spawn→Monitor→Report

  1. Plan: List plan, report, wait for confirmation
  2. Spawn: sessions_spawn, mode=run, runtime=subagent
  3. Monitor: sessions_history/list to check status, sessions_send to correct direction
  4. Report: Forward results immediately when received

OpenClaw Code Review Standards

When analyzing OpenClaw's own capabilities:

  1. Read docs/tools/exec.md and docs/tools/exec-approvals.md
  2. Verify exec tool availability
  3. Check Python library installation
  4. Review openclaw.json config (disabled tools)

Notes

-遇到问题 → Analyze cause first, try alternatives

  • Sensitive operations → Must get authorization first
  • Execution failure → Record reason, adjust strategy and retry

Changelog

  • 2026-04-15 v1.0: Initial release - The Executor Protocol

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

91.09%
按下载量换算679

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install openclaw-task-executor 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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