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Agent Skill · 开发

work-tracking(工作跟踪)

work-tracking 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

work-tracking 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描有未通过项,按安装量在开发类的 21,746 个 Skill 里排第 19,957。

总安装 245周安装 10GitHub Stars 公开资料未说明下载 79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
unknown

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:work-tracking(工作跟踪)
来源仓库:https://github.com/mohammed-io/agentic-ai-tools
仓库路径:skills/work-tracking
安装命令:
npx skills add https://github.com/mohammed-io/agentic-ai-tools --skill work-tracking
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/mohammed-io/agentic-ai-tools --skill work-tracking

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

work-tracking 强制结构化工作流程,确保每个任务都有对应的工作文件支撑。适用于复杂项目拆解、跨模块协作与代码产出质量管控。通过 agent-work 目录管理任务上下文、待办事项和实施步骤。安装命令为 npx skills add 从指定 GitHub 仓库添加,需初始化代理工作目录。

强调“没有工作文件就没有代码”,所有变更必须经过验证才能进入下一阶段。

来源仓库内路径:skills/work-tracking

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/mohammed-io/agentic-ai-tools --skill work-trac…;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

work-tracking 怎么安装?

在终端执行 npx skills add https://github.com/mohammed-io/agentic-ai-tools --skill work-tracking。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

work-tracking 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

work-tracking 需要什么权限?

权限级别是只读。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。

work-tracking 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

work-tracking 用的人多吗?

公开数据是累计安装 245 次,近一周安装 10 次,下载 79 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。

work-tracking 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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 Codex,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
work-tracking

工作跟踪 · 本页

245—只读未明确未通过

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

Step 1: Initialize Work Directory (If Needed)

Before checking for active work, ensure agent-work directory exists:

if [ ! -d "agent-work" ]; then
  echo "Initializing work directory..."
  cp -r .claude/skills/work-tracking/scaffold agent-work
  echo "Work directory initialized from scaffold"
fi

What this does:

  • Checks if agent-work/ directory exists
  • If not, copies the scaffold structure from .claude/skills/work-tracking/scaffold/
  • Creates the necessary bin/ and completed/ subdirectories
  • Sets up the work tracking system ready for use

Step 2: Check for Active Work

ALWAYS do this first before creating new work.

ls agent-work/*.md 2>/dev/null

If there's an active work file:

  • Show it to the user
  • Ask: "There's an active work file: [filename]. Would you like to:

1. Continue with this work 2. Complete it first 3. Create new work file"

  • Wait for user response before proceeding

If no active work file, proceed to Step 3.


Step 3: Create Work File (MANDATORY)

You MUST run this script BEFORE writing ANY code.

./agent-work/bin/work-create.sh <task_name>

Task Naming Rules

Use descriptive, snake_case names:

  • ✅ improve_pdf_generation
  • ✅ add_watermark_support
  • ✅ fix_date_parsing_bug
  • ✅ implement_resume_validator
  • ❌ new_feature
  • ❌ stuff
  • ❌ update

What the script does:

  • Generates UTC timestamp automatically
  • Creates agent-work/{timestamp}_{task_name}.md
  • Populates it with the template

Example output:

Created work file: agent-work/20251230164521_improve_pdf_generation.md

Step 4: Populate Work File

Immediately after creation, populate the work file with:

  1. Context - What problem is being solved, why it's needed
  2. Value Proposition - What the feature achieves, business value
  3. Alternatives Considered - Other approaches considered with trade-offs
  4. Todos - Specific, actionable tasks with [] checkboxes
  5. Acceptance Criteria - How to verify the work is complete
  6. Notes - Any additional information

See EXAMPLES.md for complete, real-world examples of properly filled work files.


Step 5: Implement Work (Update Todos Progressively)

⚠️ CRITICAL: Update the work file after EACH todo, not after all todos.

Wrong Approach (DO NOT DO THIS):

1. Complete all 5 todos
2. Update work file once with all 5 checked

Correct Approach (DO THIS):

1. Complete Todo 1
2. Update work file: [ ] Task 1 → [x] Task 1
3. Complete Todo 2
4. Update work file: [ ] Task 2 → [x] Task 2
5. And so on...

Why This Matters:

  • If AI crashes, progress isn't lost
  • Maintains accurate progress tracking
  • Allows resumption from any point
  • User can see real-time progress

How to Update:

Use the Edit tool to change [] to [x] for completed todos:

Edit: agent-work/{timestamp}_{task_name}.md
Old: - [ ] Update PDF generator to verify text layer
New: - [x] Update PDF generator to verify text layer

Step 6: Complete Work

When ALL todos are checked as [x], complete the work:

./agent-work/bin/work-complete.sh <name>

Examples:

./agent-work/bin/work-complete.sh improve_pdf_generation
./agent-work/bin/work-complete.sh 20251230164521_improve_pdf_generation

What the script does:

  • Updates status to completed ({completion_timestamp})
  • Moves file to agent-work/completed/ directory

Example output:

Completed and moved: agent-work/completed/20251230164521_improve_pdf_generation.md

Work File Locations

  • Active work: agent-work/{timestamp}_{task_name}.md
  • Completed work: agent-work/completed/{timestamp}_{task_name}.md

Enforcement Checklist

First time in project:

  • Initialized agent-work directory from scaffold

Before writing ANY code, verify:

  • Checked for active work files
  • Created work file using work-create.sh
  • Populated Context, Value Proposition, Alternatives, Todos, Acceptance Criteria
  • Work file exists in agent-work/ directory

While implementing:

  • Update work file after EACH todo completion
  • Use Edit tool to change [] to [x]
  • Never batch todo updates

After completing all todos:

  • Verify ALL todos are marked [x]
  • Run work-complete.sh to move file to completed/

Common Mistakes to Avoid

❌ Starting to code before creating work file ✅ Always create work file first

❌ Updating all todos at once after completing all work ✅ Update each todo immediately after completion

❌ Not checking for active work files ✅ Always check first: ls agent-work/*.md

❌ Using vague task names like "update" or "fix" ✅ Use descriptive names like "fix_date_parsing_bug"

❌ Forgetting to complete work file when done ✅ Run work-complete.sh to move to completed/


Summary

MANDATORY SEQUENCE:

  1. First time only: Initialize agent-work directory from scaffold (Step 1)
  2. Check for active work: ls agent-work/*.md (Step 2)
  3. Create work file: ./agent-work/bin/work-create.sh <task_name> (Step 3)
  4. Populate work file with context, todos, etc. (Step 4)
  5. Implement EACH todo + update work file immediately after EACH (Step 5)
  6. Complete work: ./agent-work/bin/work-complete.sh <name> (Step 6)

NO CODE WITHOUT A WORK FILE. NO EXCEPTIONS.

For complete examples of work files, see EXAMPLES.md.

平台分布

Codex

37.77%
按下载量换算30

Claude

28.41%
按下载量换算22

Cursor

16.72%
按下载量换算13

Gemini CLI

9.26%
按下载量换算7

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

可疑

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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