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Git Commit

Official
github·vlatest·backend·MIT

Automates creating well-formatted git commit messages based on code changes and provided context.

Repository

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 github/awesome-copilot --skill git-commit -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

github

Matched to the vendor's own GitHub organisation.

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 github/awesome-copilot at 6c4d33b9cf.

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

Commit
6c4d33b9cf
Manifest
skills/git-commit/SKILL.md
Scanned
1 file, 115 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-commit skill enables AI agents to generate meaningful and well-structured Git commit messages based on code changes. It analyzes diffs or code modifications and suggests concise, descriptive messages that follow conventional commit standards.

When to use it

  • After making code changes in a local repository to draft a commit message before pushing.
  • When working with version control systems and needing to ensure clarity and consistency in commit history.
  • During CI/CD pipelines where automated commit messages are required for logging or documentation purposes.
  • When collaborating on projects that enforce strict commit message conventions.

Key capabilities

  • Analyzes code diffs to understand the nature of changes.
  • Generates concise, descriptive commit messages.
  • Follows conventional commit standards (e.g., feat, fix, docs).
  • Integrates with version control workflows for automation or assistance.

Example prompts

  • "Generate a Git commit message for these changes."
  • "Write a conventional commit message based on this diff."
  • "Draft a clear and concise message for the latest code modifications."

Tips & gotchas

  • Ensure that your AI agent has access to the relevant code context or diffs for accurate message generation.
  • While it follows conventions, you may need to manually adjust messages to better reflect specific project requirements.