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Agent Skill · 研究检索

planning-with-files-from-github(规划 with files from GitHub)

用于围绕 GitHub 仓库、Issue、Pull Request、分支、提交和代码协作流程提供辅助能力。它适合让 Agent 查询项目状态、整理变更、辅助创建或检查协作事项,并把仓库中的信息转成可执行的下一步。使用时需要区分只读查询和写入操作;涉及创建 PR、修改 Issue、推送分支或访问私有仓库时,应确认 token 权限、目标仓库范围和用户授权。

planning-with-files-from-github 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 7,358。

总安装 19,198周安装 792GitHub Stars 公开资料未说明下载 6,273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:planning-with-files-from-github(规划 with files from GitHub)
来源仓库:https://github.com/yingcd/planning-with-files-from-github
安装命令:
openclaw skills install planning-with-files-from-github
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 planning-with-files-from-github

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。

围绕GitHub仓库协作事项提供计划分解与状态跟踪能力。适合复杂项目实施前分析代码库结构与历史变更趋势。区分只读查询与写入操作保障仓库安全性。访问私有仓库需显式授权Personal Access Token权限。

planning-with-files-from-github 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

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 planning-with-files-from-github;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

    它需要需要联网,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

planning-with-files-from-github 怎么安装?

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

planning-with-files-from-github 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。

planning-with-files-from-github 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

planning-with-files-from-github 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。

planning-with-files-from-github 用的人多吗?

公开数据是累计安装 19,198 次,近一周安装 792 次,下载 6,273 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。

planning-with-files-from-github 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 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
planning-with-files-from-github

规划 with files from GitHub · 本页

19,198—需要联网MIT-0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

name
planning-with-files
description
This skill should be used when the user asks to start a complex task, research project, multi-step implementation, or any task expected to require more than 5 tool calls. Triggers: 'plan this', 'start planning', 'help me build', 'research and implement', 'complex task', '/plan'.
metadata
{ "openclaw": { "emoji": "📋", "version": "1.0.0", "author": "shannon/openclaw-port" } }

Planning with Files

Manus-style persistent markdown planning. Filesystem = long-term memory. Context window = working RAM.

Core Principle

Context Window = RAM (volatile, limited)
Filesystem     = Disk (persistent, unlimited)
→ Anything important MUST be written to disk.

When to Use

  • Multi-step tasks (3+ phases or 5+ tool calls)
  • Research + implementation tasks
  • Tasks that span multiple sessions
  • Any task where goal-drift is a risk

Skip for: single-file edits, quick lookups, simple questions.

Session Start Protocol

ALWAYS do this first — no exceptions:

  1. Run the init script to create the three planning files:
   exec: bash {baseDir}/scripts/init-session.sh "<task description>"
  1. Fill in the ## Goal section in task_plan.md with the full task description.
  2. Break the task into 3–7 phases and add them under ## Phases.
  3. Confirm files exist before proceeding.

If exec is not available, create the three files manually using the templates in {baseDir}/templates/.

The Three Files

task_plan.md — Goal tracker (MOST IMPORTANT)

  • Created at session start, never deleted
  • Re-read before every major decision
  • Update when: phase completes, decision made, error encountered

findings.md — Knowledge store

  • Research results, discoveries, technical decisions
  • 2-Action Rule: after every 2 view/search/fetch operations → update findings.md immediately

progress.md — Session log

  • Actions taken, test results, errors encountered
  • Append-only; never rewrite history

Work Loop

BEFORE every major action:
  → Re-read task_plan.md (keeps goal in attention)

EVERY 2 view/search/fetch operations:
  → Save key findings to findings.md NOW

AFTER completing a phase:
  → Update phase status in task_plan.md to "complete"
  → Append phase summary to progress.md

WHEN an error occurs:
  → Log it in task_plan.md under ## Errors table
  → Never repeat the same failing action

BEFORE stopping:
  → Run: exec bash {baseDir}/scripts/check-complete.sh
  → Only stop if all phases show "complete"

File Update Rules

TriggerFile to updateSection
Start tasktask_plan.mdGoal + Phases
2nd research opfindings.mdKey Findings
Make decisionfindings.mdTechnical Decisions
Phase donetask_plan.mdPhase status → complete
Phase doneprogress.mdPhase summary
Errortask_plan.mdErrors table
Test resultprogress.mdTest Results

Error Recovery Protocol

ATTEMPT 1: Diagnose & Fix
  → Read error carefully → identify root cause → targeted fix

ATTEMPT 2: Alternative Approach
  → Same error? Try different tool/library/method
  → NEVER repeat the exact same failing action

ATTEMPT 3: Broader Rethink
  → Question assumptions → search for solutions → update plan

AFTER 3 FAILURES:
  → Escalate to user: explain what was tried, share the error, ask for guidance

Completion Verification

Before telling the user the task is done:

  1. Run exec bash {baseDir}/scripts/check-complete.sh
  2. If any phase is NOT "complete" → continue working
  3. Only deliver result when all phases are checked off

Session Recovery

If context was cleared (e.g., /clear), resume by:

  1. Reading task_plan.md to restore goal and phase status
  2. Reading progress.md to see what was done
  3. Reading findings.md to restore research context
  4. Continuing from the first incomplete phase

Key Principles

  • Plan is Required: Never start a complex task without task_plan.md
  • Files are Memory: Context is volatile. Filesystem is permanent. Write important things down.
  • Never Repeat Failures: Track what was tried. Mutate the approach.
  • Error Recovery = Agentic Behavior: How you handle failures defines task quality.
  • Re-read Before Deciding: Attention manipulation — keep the goal visible.

平台分布

OpenClaw

88.86%
按下载量换算5,574

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。目前只有一个公开来源,建议同时核对源仓库。

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