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Git Style Commit

Checked
agmangas·vlatest·backend

Generates concise, descriptive Git commit messages following conventional style guidelines for improved project history.

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 agmangas/agent-skills --skill git-style-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

agmangas

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 agmangas/agent-skills at 3932fed36b.

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

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

This skill allows an AI agent to generate commit messages in a standardized, Git-friendly style. It ensures consistency and clarity within code repositories by adhering to common conventions like concise summaries followed by optional details. The generated commits are designed to be easily understood and integrated into version control workflows.

When to use it

  • Automated Code Changes: When an AI agent makes modifications to a codebase, this skill can automatically create appropriate commit messages.
  • Scripted Tasks: Useful for generating consistent commit messages when automating tasks like documentation updates or configuration changes.
  • Collaboration: Helps ensure that all commits, whether human-generated or AI-assisted, follow the same style guide within a team project.
  • Training Data Generation: Can be used to generate examples of well-formatted commit messages for training other AI models.

Key capabilities

  • Generates concise and descriptive commit summaries.
  • Supports optional detailed explanations in commit body.
  • Adheres to common Git commit message conventions.

Example prompts

  • "Generate a commit message for refactoring the user authentication module."
  • "Create a commit summarizing the changes made to improve error handling."
  • “Write a commit describing the addition of unit tests for the data validation component.”

Tips & gotchas

The quality of the generated commit messages depends on the clarity and detail provided in the prompt. Providing context about the code changes will result in more accurate and informative commit messages.