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GitHub Explorer

Checked
blessonism·v1.0.0·backend·MIT

Deep multi-source analysis of GitHub projects. Covers architecture, community health, competitive landscape, and cross-platform knowledge. Outputs structured research reports.

Repository

Install on your platform

Showing OpenClaw.

  1. 1

    Run this in your terminal

    terminal
    $ openclaw skills install github-explorer

What we know about this skill

Publisher

blessonism

Taken from the source listing. We haven't verified who controls this account.

Install target

Pinned to 91674af8

Installs fetch a stored snapshot of that commit, so the code can't change after the fact.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned blessonism/github-explorer-skill at 91674af894.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
91674af894
Manifest
SKILL.md
Scanned
3 files, 314 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

GitHub Explorer — Project Deep Dive Skill

GitHub Explorer is an OpenClaw Agent Skill capable of performing multi-source deep analysis on any GitHub project, outputting a structured project assessment report. It gathers information from diverse sources to provide comprehensive insights.

What it does

This skill analyzes GitHub projects by collecting data from README files, Issues, Commits, Chinese communities (Zhihu/V2EX/WeChat), technical blogs (Medium/Dev.to), and Twitter discussions. It uses AI to determine project stage (early experiment / rapid growth / mature stable / stagnant) and selects high-quality issues. The skill also identifies competitor projects for comparison and checks knowledge source inclusion (DeepWiki, Zread.ai).

When to use it

  • Competitive Analysis: Understand a competitor's GitHub repository, including their development activity and community engagement.
  • Project Evaluation: Quickly assess the viability and potential of an open-source project before contributing or building upon it.
  • Technology Research: Gain a detailed understanding of a technology’s adoption, challenges, and future direction by analyzing its associated GitHub repositories.
  • Due Diligence: Evaluate a potential acquisition target's codebase health, community support, and overall project momentum.

Key capabilities

  • Multi-Source Data Collection: Gathers data from diverse sources beyond just the README.
  • AI-Powered Assessment: Automatically determines project stage and identifies key issues.
  • Intent-Aware Search: Uses search-layer v2 to automatically select search strategies based on intent (project research, competitor comparison, latest updates).
  • Competitor Comparison: Identifies similar projects for analysis.
  • Knowledge Graph Check: Verifies inclusion in knowledge sources like DeepWiki and Zread.ai.
  • Community Voice Capture: Includes direct quotes from Twitter and forum posts with links.
  • Structured Output: Delivers information in a standardized template for quick decision-making.

Example prompts

  • "Analyze the langchain project on GitHub."
  • "Assess the Microsoft GraphRAG repository."
  • “What's the status of the ollama project?”

Tips & gotchas

  • The skill relies on several dependent skills (search-layer, content-extract, mineru-extract). While it will function without them, core functionality is enhanced with their installation. Consider installing these for optimal performance.

Tags

githubanalysisresearchopen-sourcecode-review