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Agent Skill · 研究检索

ghcrawl(ghcrawl 搜索)

ghcrawl 用于处理浏览器自动化、网页检查和页面信息提取,适合在 Codex、Claude、Cursor、Gemini CLI 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。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。

ghcrawl 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,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 65,745。

总安装 275周安装 11GitHub Stars 14下载 89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:ghcrawl(ghcrawl 搜索)
来源仓库:https://github.com/pwrdrvr/ghcrawl
仓库路径:skills/ghcrawl
安装命令:
npx skills add https://github.com/pwrdrvr/ghcrawl --skill ghcrawl
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/pwrdrvr/ghcrawl --skill ghcrawl

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。

用于处理浏览器自动化、网页检查和页面信息提取。适合让 Agent 打开页面、读取网页或验证前端流程。安装命令:npx skills add https://github.com/pwrdrvr/ghcrawl --skill ghcrawl 建议确认权限范围、维护状态及是否会触发联网、命令执行或文件读写。

可结合原始 README 继续核验具体用法。

来源仓库内路径:skills/ghcrawl

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/pwrdrvr/ghcrawl --skill ghcrawl;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

    它需要接触敏感数据,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

ghcrawl 怎么安装?

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

ghcrawl 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。

ghcrawl 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

ghcrawl 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。

ghcrawl 用的人多吗?

公开数据是累计安装 275 次,近一周安装 11 次,下载 89 次,GitHub 14 星。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。

ghcrawl 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

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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。

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
ghcrawl

ghcrawl 搜索 · 本页

27514接触敏感数据未明确有提醒

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

ghcrawl

Use ghcrawl as the machine-facing interface for local GitHub duplicate-cluster analysis.

Never read the ghcrawl SQLite database directly with sqlite3 or any other database client. If the supported CLI cannot return the needed information, report that CLI problem to the user instead of bypassing the interface.

Do not scrape the TUI. Prefer JSON CLI output.

The skill has two modes:

  • Default mode: assume API credentials are absent, unavailable, or irrelevant and stay read-only on existing local data.
  • API-enabled mode: only after ghcrawl doctor --json proves GitHub and OpenAI auth are configured and healthy.

In default mode, do not treat missing credentials as a problem unless the user explicitly asked for an API-backed operation or a supported read-only CLI command failed and doctor shows local setup is broken.

Even in API-enabled mode, never run sync, embed, cluster, or refresh unless the user explicitly asks for that work. Those commands can take a long time, consume paid API usage, and trigger rate limiting if used too often.

Current pipeline defaults to keep in mind:

  • persistent semantic search and clustering use a vectorlite sidecar index
  • the default summary model is gpt-5-mini
  • the default embedding basis is title_original, so refresh does not summarize unless the user explicitly switches to title_summary
  • changing summary model or embedding basis with ghcrawl configure makes the next refresh rebuild vectors and clusters
  • opting into title_summary can materially improve clustering quality, but it adds OpenAI cost; on openclaw/openclaw it improved non-solo cluster membership by about 50%

Also never run close-thread or close-cluster unless the user explicitly asks you to mark a local thread or cluster closed.

When to use this skill

  • The user wants related issue/PR clusters for one repo.
  • The user wants to refresh local ghcrawl data before analysis.
  • The user wants cluster summaries, cluster detail dumps, or nearest neighbors from a local ghcrawl database.

Command preference

Prefer the installed ghcrawl bin.

If ghcrawl is not on PATH, use:

npx ghcrawl cli ...

Do not start by running ghcrawl --help or <subcommand> --help. The documented command surface in this skill and references/protocol.md is the default source of truth. If you are actively maintaining ghcrawl itself or syntax is genuinely in doubt, command help is available through ghcrawl help <command> and ghcrawl <command> --help.

Core workflow

1. Default read-only flow

Do not run doctor on skill startup by default.

Start with local read-only commands:

Without explicit user direction to refresh data, prefer these local-only commands:

ghcrawl threads owner/repo --numbers 12345 --json
ghcrawl clusters owner/repo --min-size 10 --limit 20 --sort recent --json
ghcrawl cluster-detail owner/repo --id 123 --member-limit 20 --body-chars 280 --json
ghcrawl threads owner/repo --numbers 42,43,44 --json
ghcrawl author owner/repo --login lqquan --json
ghcrawl search owner/repo --query "download stalls" --mode hybrid --json
ghcrawl neighbors owner/repo --number 42 --limit 10 --json
ghcrawl configure --json

These operate on the existing local SQLite dataset.

Treat that stored dataset as the default source of truth for read-only analysis. Do not probe credentials, inspect env vars, or explain missing auth unless an API-backed task was requested or the supported CLI path is failing.

By default:

  • threads and author hide locally closed issues/PRs
  • clusters and cluster-detail hide locally closed clusters

If the user explicitly wants to inspect those records, add --include-closed.

Use threads --numbers 12345 when you need to find the cluster for one specific issue/PR number. The returned thread record includes clusterId. If it is non-null, follow with cluster-detail --id <clusterId>.

Use configure --json when you need to confirm the currently selected summary model or embedding basis before suggesting an expensive refresh.

Use threads --numbers... when you need a batch of specific issue/PR records. Do not pay the CLI startup cost 10 times for 10 separate single-thread lookups.

Use author --login... when you need one author's open threads and their strongest stored same-author similarity matches in one call.

If the user explicitly asks to mark a local issue/PR or cluster closed, use:

ghcrawl close-thread owner/repo --number 42 --json
ghcrawl close-cluster owner/repo --id 123 --json

If close-thread closes the last open item in a cluster, ghcrawl will automatically mark that cluster closed too.

2. Check local health only when needed

Run:

ghcrawl doctor --json

If the bin is unavailable, fall back to:

pnpm --filter ghcrawl cli doctor --json

Only do this when:

  • the user explicitly wants an API-backed operation such as refresh, sync, embed, or cluster
  • or a read-only request failed and you need to know whether the local install/config/auth state is broken

Interpret the result like this:

  • If GitHub/OpenAI auth is missing or unhealthy, stay in read-only mode.
  • If GitHub/OpenAI auth is healthy, API-backed operations are available, but still require explicit user direction.

If doctor is unhealthy but the user asked only for read-only inspection, say that API-backed refresh is unavailable and continue with read-only CLI commands when possible.

3. If the CLI is unavailable or misbehaving

Use one supported fallback path before giving up:

pnpm --filter ghcrawl cli ...

If a documented ghcrawl command still fails, hangs, or returns unusable output through the supported CLI path, stop and report that to the user. Do not inspect tables, schema, or rows with sqlite3, pragma, or ad hoc SQL.

4. Refresh local data only when explicitly requested

Only if the user explicitly asks to refresh or rebuild data, and doctor says auth is healthy, use:

ghcrawl refresh owner/repo

This runs, in fixed order:

  1. GitHub sync/reconcile
  2. summarize-if-needed
  3. embed refresh
  4. cluster rebuild

You may skip steps only when the user explicitly wants that or the freshness state makes it unnecessary:

ghcrawl refresh owner/repo --no-sync
ghcrawl refresh owner/repo --no-cluster

Do not decide on your own to run cluster just because it is local-only. It is still long-running and should be treated as an explicit user-directed operation.

5. List clusters

Use:

ghcrawl clusters owner/repo --min-size 10 --limit 20 --sort recent --json

This returns:

  • repo stats
  • freshness state
  • cluster summaries

6. Inspect one cluster

Use:

ghcrawl cluster-detail owner/repo --id 123 --member-limit 20 --body-chars 280 --json

This returns:

  • the selected cluster summary
  • each member thread
  • a body snippet
  • stored summary fields when present

7. Optional deeper inspection

Use search or neighbors as needed:

ghcrawl search owner/repo --query "download stalls" --mode hybrid --json
ghcrawl neighbors owner/repo --number 42 --limit 10 --json

Output rules

  • Report the repo name and whether you refreshed data in this run.
  • When listing clusters, include:

- cluster id - representative number and kind - display title - total size - PR count - issue count - latest updated time

  • When naming a cluster in prose, use this shape:

- Cluster <clusterId> (#<representativeNumber> representative <issue|pr>) - example: Cluster 23945 (#42035 representative issue)

  • When drilling into a cluster, include clickable GitHub links for each issue/PR if you mention them.
  • Prefer concise summaries over dumping raw JSON.
  • If freshness is stale, say that explicitly:

- embeddings outdated - clusters outdated

  • If you stayed read-only because doctor was not healthy or the user did not explicitly request a refresh, say that explicitly.

References

For the exact JSON-oriented command surface and examples, read:

平台分布

Codex

35.58%
按下载量换算32

Claude

32.89%
按下载量换算29

Cursor

18.13%
按下载量换算16

Gemini CLI

9.09%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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