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jiatastic·vlatest·backend·MIT

Generates clear, concise commit messages based on your code changes, streamlining collaboration and improving project documentation.

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 jiatastic/open-python-skills --skill commit-message -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

jiatastic

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 jiatastic/open-python-skills at 41249c879c.

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

Scanned
3 files, 562 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 helps AI agents generate well-formatted and informative Git commit messages. It ensures that commit messages adhere to common conventions, including a concise summary line followed by a more detailed explanation when necessary. The goal is to improve code history clarity and collaboration within development teams.

When to use it

  • Automated Code Changes: When an AI agent makes changes to source code, this skill can automatically generate the commit message.
  • Reviewing Pull Requests: To suggest improvements to commit messages in pull requests or merge requests.
  • Scripted Tasks: For automating tasks that modify files and require a corresponding commit.
  • Enforcing Commit Standards: To ensure all commits within a project follow established commit message guidelines.

Key capabilities

  • Generates concise summary lines for commit messages.
  • Provides detailed explanations when needed.
  • Adheres to common Git commit conventions.

Example prompts

  • "Generate a commit message for this change: Refactor user authentication logic."
  • "Suggest a better commit message for 'Fixed bug'."
  • “Write a commit message describing the changes in this diff.”

Tips & gotchas

The quality of the generated commit messages depends on the clarity and context provided to the AI agent. Providing relevant information about the code changes will yield more accurate and helpful commit messages.