A Git commit helper that writes commit messages in the Conventional Commits format, such as `feat` for a feature or `fix` for a bug, and checks staged changes before committing.

Use it to review staged changes and create commits that are easier to understand and use in automated release workflows.

It removes the guesswork from writing consistent commit messages and helps catch situations where there is nothing staged to commit.

commit — Skill for Claude Code and Codex by softspark: A Git commit helper that writes commit messages in…

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/softspark/ai-toolkit/commit

Any agent

npx skills add softspark/ai-toolkit --skill commit

Clone the repo

git clone --depth 1 https://github.com/softspark/ai-toolkit

Made for: Claude Code, Codex.

Or install ai-toolkit, the plugin that ships this one along with the rest of its 114 skills, 44 agents, 14 hooks.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/softspark/ai-toolkit/commit.svg)](https://agentmods.dev/skills/softspark/ai-toolkit/commit)

Your own site

<a href="https://agentmods.dev/skills/softspark/ai-toolkit/commit"><img src="https://agentmods.dev/badge/skills/softspark/ai-toolkit/commit.svg" alt="Measured on agentmods" height="20"></a>

Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 573 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.

Model	Per session	Once invoked
Fable 5	$0.00025	$0.00573
Opus 5	$0.00013	$0.00287
Sonnet 5	$0.00005	$0.00115
Haiku 4.5	$0.00003	$0.00057

Measured yesterday against content hash 6289ed68149c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 yesterday.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/pre-commit-check.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

app/skills/commit/SKILL.md · 99 lines

What it actually says

Git Commit

$ARGUMENTS

Creates well-structured git commits following Conventional Commits specification.

Project context

Staged changes: !git diff --cached --stat 2>/dev/null || echo "nothing staged"
Current branch: !git branch --show-current 2>/dev/null

Commit Format

<type>(<scope>): <description>

[optional body]

[optional footer]

Types

Type	Description
`feat`	New feature
`fix`	Bug fix
`docs`	Documentation only
`style`	Formatting, no code change
`refactor`	Code restructuring
`perf`	Performance improvement
`test`	Adding/updating tests
`chore`	Maintenance tasks
`ci`	CI/CD changes

Examples

# Feature
git commit -m "$(cat <<'EOF'
feat(search): add multi-hop reasoning support

- Implement query decomposition
- Add iterative retrieval with reasoning
- Include answer synthesis from aggregated context
EOF
)"

# Bug fix
git commit -m "$(cat <<'EOF'
fix(cache): resolve connection pool exhaustion

Root cause: connections not returned to pool on error
Solution: use context manager for automatic cleanup

Fixes #123
EOF
)"

Automated Pre-Commit Check

Run the bundled script for structured pre-commit analysis:

python3 ${CLAUDE_SKILL_DIR}/scripts/pre-commit-check.py

Use the output to validate staged changes, detect secrets, and suggest commit type/scope.

Pre-Commit Checklist

Before committing:

Run linting: make lint (or docker exec {app-container} make lint)
Run tests: make test (or docker exec {app-container} make test)
Check for secrets: No API keys or passwords

Git Safety

NEVER use --force push without explicit request
NEVER skip hooks (--no-verify) unless explicitly asked
ALWAYS create NEW commits (don't amend previous unless asked)
Stage specific files, avoid git add -A with sensitive files

Files

What ships with it

2 files 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.

yesterday First seen · 99 lines · 25 tokens per session scan A 6289ed68149c

Subscribe to this mod's changes

commit is a skill published in the GitHub repository softspark/ai-toolkit (168 stars, last pushed yesterday), licensed Apache-2.0. It adds 25 tokens to every session and 573 once invoked, about $0.0001 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 2026-09-03.

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