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Commit Helper

Checked
chmouel·vlatest·backend·Apache-2.0

This "Commit Helper" suggests helpful commit messages based on your code changes, streamlining workflows and improving Git 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 chmouel/lazyworktree --skill commit-helper -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

chmouel

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 chmouel/lazyworktree at 6dbd55c4bb.

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

Scanned
1 file, 36 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 chmouel-commit-helper skill assists with generating Git commit messages. It can analyze changes, suggest concise summaries, and format commits according to specified conventions. This helps maintain a clean and understandable project history by automating parts of the commit process.

When to use it

  • You need help crafting clear and consistent commit messages for your code changes.
  • You want to automate the generation of commit summaries based on diffs.
  • Your team follows specific Git commit message conventions that you'd like the AI agent to adhere to.
  • You are working on a large project with frequent commits, and want to reduce the effort involved in writing messages.

Key capabilities

  • Generates commit summaries from code changes (diffs).
  • Supports custom commit message formatting rules.
  • Can be integrated into existing development workflows.

Example prompts

  • "Summarize these changes for a Git commit: [paste diff]"
  • "Create a commit message following the Conventional Commits format for this change: [paste diff]"
  • "Generate a short and descriptive commit message based on these modifications: [paste diff]"

Tips & gotchas

The skill's effectiveness depends heavily on the quality of the provided code changes (diff). Ensure that the diff accurately reflects the intended modifications for optimal results.