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Git Analyzer

Checked
meetrais·vlatest·backend·Apache-2.0

Analyzes Git repositories to identify commit patterns, code churn, and potential areas of risk or improvement.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add meetrais/claude-agent-skills --skill git-analyzer -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

meetrais

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

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

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 meetrais/claude-agent-skills at a5f4d7bfde.

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

Scanned
3 files, 202 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

What it does

The git-analyzer skill allows an AI agent to analyze Git repositories. It can provide insights into commit history, identify potential issues based on code changes, and summarize repository activity. This helps users understand project evolution and pinpoint areas of concern within a codebase.

When to use it

  • Codebase Review: Quickly assess the health and history of a new or unfamiliar project.
  • Bug Hunting: Identify potential causes of bugs by examining recent commit changes.
  • Project Understanding: Gain a high-level overview of a repository's development timeline and contributors.
  • Security Audit: Analyze commit messages for potentially sensitive information or risky modifications.

Key capabilities

  • Repository analysis
  • Commit history examination
  • Issue identification based on code changes
  • Summary of repository activity

Example prompts

  • "Analyze this Git repository: [repository URL]"
  • "Summarize the commit history for this project: [repository URL]"
  • "Identify any potential security concerns in recent commits to this repository: [repository URL]"

Tips & gotchas

The skill's effectiveness depends on having access to a valid and accessible Git repository URL. Large repositories may take longer to analyze, potentially impacting response time.