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Gitcrawl

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openclaw
gitcrawl

GitHub archive: issue/PR search, sync freshness, duplicate clusters, current GitHub handoff, and Gitcrawl repo work.

Overview

Publisheropenclaw
Repositoryopenclaw
Skill namegitcrawl
Stars
391K
Forks
82.2K
Bundled files
1
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by openclaw on GitHub. Read the source before you install it.

Installation

Install the Gitcrawl AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/openclaw/openclaw/tree/main/.agents/skills/gitcrawl
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/openclaw/openclaw.git /tmp/openclaw
mkdir -p .claude/skills
cp -r /tmp/openclaw/.agents/skills/gitcrawl .claude/skills/gitcrawl
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gitcrawl in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Gitcrawl on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Gitcrawl is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Gitcrawl

Use local GitHub archives for discovery; verify current GitHub state before a maintainer decision or public mutation. Check freshness and configured database paths with gitcrawl doctor --json.

bash
gitcrawl threads owner/repo --numbers <number> --include-closed --json
gitcrawl neighbors owner/repo --number <number> --limit 12 --json
gitcrawl search issues "query" -R owner/repo --state open --json number,title,url
gitcrawl clusters owner/repo --sort size --min-size 5
gitcrawl cluster-detail owner/repo --id <cluster-id>

For stale results, use a bounded --sync-if-stale 5m search or targeted gitcrawl sync owner/repo --numbers 123,456 --with pr-details. The latter hydrates local PR files, commits, checks, workflow runs, and review-thread resolution; it does not populate the separate GitHub CLI cache.

Current GitHub State

Use bare PATH gh and narrow native JSON fields:

bash
gh pr view <number> -R owner/repo --json number,title,state,url,isDraft,headRefName,headRefOid
gh pr checks <number> -R owner/repo --json name,state,bucket,link
gh issue view <number> -R owner/repo --json number,title,state,closedAt,url

gitcrawl gh was removed. Its exit 2 is a migration notice, not an auth failure. Do not pass its --live/--cached flags or old field names to gh, restore an old Gitcrawl, bypass the existing Octopool shim, or change auth/PATH/config to repair that removed command. Octopool owns the shared gh cache; Gitcrawl owns the local archive. See the upstream migration guide when setting up or diagnosing that handoff.

Archive Boundaries

Archive state and similarity are candidate evidence, not proof of a duplicate or resolved issue. Report repository, issue/PR numbers, absolute date spans, cluster IDs, freshness, and known gaps. close-thread, close-cluster, and canonical-member choices are local overrides; they do not mutate GitHub. Public mutations use authorized gh workflows and checkout proof.

For exact archive counts, Gitcrawl has no sql subcommand. Resolve .db_path from doctor --json and use sqlite3 -readonly; do not modify database rows instead of using the maintainer commands. For Gitcrawl implementation work, verify the checkout remote is openclaw/gitcrawl and use its own instructions.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Gitcrawl AI skill do?

GitHub archive: issue/PR search, sync freshness, duplicate clusters, current GitHub handoff, and Gitcrawl repo work.

Why use Gitcrawl on TypingMind?

Because you install it once and use it with any model. Gitcrawl is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Gitcrawl in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/openclaw/openclaw/tree/main/.agents/skills/gitcrawl. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Gitcrawl?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Gitcrawl?

As many as you like. As long as a model supports skills, you can use Gitcrawl with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Gitcrawl AI skill free?

It is published on GitHub by openclaw. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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