git-commit

A guide for creating a Git commit with a concise Conventional Commits message. A commit is a saved group of code changes, and Conventional Commits use a standard message format.

In plain words
What is it for?
Use it when staging and committing work, or when you need an appropriate commit message.
Why use it?
It helps include only the relevant changes and describe them consistently.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/sundegan/agent-skills/git-commit
Any agent
npx skills add sundegan/agent-skills --skill git-commit
Clone the repo
git clone --depth 1 https://github.com/sundegan/agent-skills

Made for: Claude Code, Codex.

Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 977 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00055 $0.00977
Opus 5 $0.00028 $0.00489
Sonnet 5 $0.00011 $0.00195
Haiku 4.5 $0.00006 $0.00098

Measured 2d ago against content hash d4165e79cc76, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

git-commit scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

general-skills/git-commit/SKILL.md · 94 lines

How it starts

The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Git Commit

Goal

Create a clean Git commit for the current task. Include only changes that are related to the user's request and the work Agent performed in the current context, then use a mainstream Conventional Commits message in concise, direct English. For larger changes, include a short commit body with a bullet summary of the main code changes.

Workflow

  1. Confirm the repository root with git rev-parse --show-toplevel.
  2. Inspect the current Git state:
    • Run git status --short.
    • Check staged changes with git diff --cached --stat and git diff --cached.
    • Check unstaged changes with git diff --stat and inspect relevant diffs.
    • Check untracked files with git ls-files --others --exclude-standard.
  3. Determine what should be committed:
    • Treat the current conversation, user request, and files Codex edited for that task as the primary commit boundary.
    • If the user named files, paths, or a scope, commit only those changes.
    • If the user simply says "commit", "提交", or similar, commit the changes related to the current task, not every dirty file in the repository.
    • Commit all dirty files only when the user explicitly asks to commit everything/all changes, and still exclude secrets, local config, dependency caches, logs, and unsupported build artifacts.
    • If changes were already staged before this request, verify whether they belong to the current task before including them. Unstage unrelated staged changes if needed, without discarding their content.
    • If the worktree contains unrelated or ambiguous changes, ask before staging them.
  4. Stage the intended files with explicit paths whenever possible. Avoid broad staging commands when unrelated changes are present.
  5. Re-check git status --short and git diff --cached --stat before committing.
  6. Compose an English Conventional Commits message:
    • Use <type>(<scope>): <summary> when a clear scope exists.
    • Use <type>: <summary> when no concise scope is obvious.
    • Keep the subject under 72 characters when practical.
    • Use imperative, present-tense English.
    • Do not end the subject with a period.
  7. Add a commit body only when the change is large, multi-part, or not obvious from the subject:
    • Leave a blank line after the subject.
    • Add Summary: followed by concise bullets.
    • Each bullet should describe a concrete code change or user-visible behavior.
  8. Run git commit with the prepared message.
  9. Verify the result with git status --short and git log -1 --pretty=fuller --stat.

Read the full file on GitHub · 94 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 94 lines · 55 tokens per session scan A d4165e79cc76

Subscribe to this mod's changes

git-commit is a skill published in the GitHub repository sundegan/agent-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 55 tokens to every session and 977 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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