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Agent Skill · 研究检索

task-extractor(任务提取器)

task-extractor 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。

task-extractor 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为执行命令;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 31,660。

总安装 2,661周安装 112GitHub Stars 公开资料未说明下载 932核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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:task-extractor(任务提取器)
来源仓库:https://github.com/dodge1218/task-extractor
安装命令:
openclaw skills install task-extractor
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 task-extractor

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

从用户消息中提取多任务项并完成状态跟踪工具。适用于混合提示转储与批量操作项目管理场景。支持超过三个可操作项目的识别与验证。task-extractor 属于研究检索类 Skill,可作为该场景下的辅助能力补充。安装前需确认权限范围、维护状态及是否持久化任务列表。建议结合原始 README 核验提取规则与去重逻辑。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install task-extractor;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

task-extractor 怎么安装?

在终端执行 openclaw skills install task-extractor。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

task-extractor 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

task-extractor 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 openclaw skills install task-extractor 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。

task-extractor 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

task-extractor 用的人多吗?

公开数据是累计安装 2,661 次,近一周安装 112 次,下载 932 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

task-extractor 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
task-extractor

任务提取器 · 本页

2,661—执行命令MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
task-extractor
version
1.0.0
description
Extract, track, and verify completion of multiple tasks from a single user message. Use when any message contains 3+ actionable items, a prompt dump with mixed instructions, or a compound request. Prevents task drop by saving to TASK_QUEUE.md before executing. Reports completion status per item.

Task Extractor

Parse multi-task messages → numbered queue → execute sequentially → verify each → report.

Activation

Trigger on ANY user message containing 3+ distinct actionable items. Signs:

  • Multiple sentences starting with verbs ("build", "fix", "send", "check", "add", "research")
  • Comma-separated or period-separated instructions
  • Mixed topics in one paragraph
  • "also", "and then", "plus", "oh and", "one more thing"

If uncertain whether to activate: activate. False positives (structuring a 2-item request) cost nothing. False negatives (dropping task #7 of 12) cost trust.

Step 1: EXTRACT (before any execution)

Parse the message into individual tasks. Each task gets:

  • Number (sequential)
  • Summary (one line, imperative verb)
  • Type: BUILD | FIX | RESEARCH | SEND | DEPLOY | CONFIG | OTHER
  • Estimated effort: QUICK (< 5 min) | MEDIUM (5-30 min) | HEAVY (30+ min / sub-agent)

Write to workspace/TASK_QUEUE.md:

# TASK_QUEUE — [date] [time]
# Source: [channel]
# Total: [N]
# Status: IN PROGRESS

| # | Task | Type | Effort | Status | Artifact |
|---|------|------|--------|--------|----------|
| 1 | [summary] | BUILD | HEAVY | ⏳ | |
| 2 | [summary] | FIX | QUICK | ⏳ | |
| 3 | [summary] | SEND | QUICK | ⏳ | |
...

Step 2: RECEIPT

Reply to the user with the extracted checklist BEFORE starting work:

📋 Extracted [N] tasks from your message:

1. ⏳ [task summary]
2. ⏳ [task summary]
3. ⏳ [task summary]
...

Starting now. I'll check each off as I go.

Do NOT ask "is this right?" unless genuinely ambiguous. Convert ambiguity into a task and execute. Ryan's rule: don't interrogate, just do.

Step 3: EXECUTE

Work through tasks in dependency order (not necessarily numerical order):

  • Independent QUICK tasks first (batch them in parallel tool calls)
  • MEDIUM tasks next
  • HEAVY tasks: spawn sub-agents with clear scope

For each completed task, update TASK_QUEUE.md:

  • ⏳ → ✅ (done) or ❌ (failed) or ⚠️ (partial) or 🔄 (spawned sub-agent)
  • Fill in the Artifact column (file path, URL, commit hash, or "n/a")

Step 4: RECONCILE

After all tasks are attempted (or sub-agents spawned), reply with the final checklist:

📋 Task Report ([completed]/[total]):

1. ✅ [task] → [artifact]
2. ✅ [task] → [artifact]
3. 🔄 [task] → sub-agent running, will announce when done
4. ❌ [task] → [reason for failure]
5. ⚠️ [task] → [what was done, what's left]

Step 5: VERIFY (on sub-agent completion)

When a sub-agent announces completion:

  • Update TASK_QUEUE.md
  • If ALL tasks are now ✅/❌, send final summary
  • If tasks remain ⏳, continue working

Rules

  1. NEVER skip the extract step. Even if the answer seems obvious. The extract step IS the safety net.
  2. NEVER mark a task ✅ without evidence. Evidence = file exists, command succeeded, API returned 200, deploy URL works.
  3. If a task fails, say WHY. Not just ❌ — include the error, the blocker, or what's needed.
  4. Sub-agent tasks get 🔄 until completion event arrives. Don't mark them ✅ optimistically.
  5. TASK_QUEUE.md is the source of truth. If context overflows, re-read it. If a session restarts, re-read it.
  6. One TASK_QUEUE at a time. If a new multi-task message arrives while one is active, append to the existing queue (renumber).
  7. Checkpoint at 5 completed tasks. Update the user with progress so far.

Edge Cases

"Do X and also Y but wait on Z"

  • X and Y get ⏳, Z gets 🕐 (blocked — note the dependency)

Sub-agent timeout

  • Mark as ⚠️, note what was attempted, offer to retry or take over manually

User changes mind mid-execution

  • Update TASK_QUEUE.md, cross out cancelled tasks with ~~strikethrough~~, continue with remaining

Overlapping tasks

  • If task 3 and task 7 are really the same thing, merge them. Note in Artifact: "merged with #3"

Anti-patterns

  • ❌ Reading the message, immediately jumping into task #1 without extracting all tasks
  • ❌ Marking a sub-agent task ✅ before the completion event
  • ❌ Saying "I'll get to that" and then forgetting
  • ❌ Only reporting on the tasks you completed, silently dropping the ones you didn't
  • ❌ Asking "which one should I do first?" — just prioritize by dependency + effort and go

平台分布

OpenClaw

93.07%
按下载量换算867

安全审计

VirusTotal

通过

ClawScan

可疑

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 task-extractor 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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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