commit

A command that examines changes staged in Git, the version-control system used to record code history, and prepares a commit message. It follows common commit categories such as feature, fix, documentation, and maintenance.

In plain words
What is it for?
Use it before committing to review staged changes and write a message with a short summary and details of added, changed, or removed files.
Why use it?
It removes the need to write a structured summary of staged changes by hand and helps keep commit messages consistent.

Command

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 commands/guanyang/open-agent-hub/commit
Clone the repo
git clone --depth 1 https://github.com/guanyang/open-agent-hub
Per session 28 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 264 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 $0.00028 $0.00264
Opus 5 $0.00014 $0.00132
Sonnet 5 $0.00006 $0.00053
Haiku 4.5 $0.00003 $0.00026

Measured yesterday against content hash c5af76eb095f, 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.

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.

commands/commit.md · 24 lines

What it actually says

Slash Command: /commit

Core Objective

Analyze staged git modifications and generate/write a high-quality Semantic Commit message.

Steps for the Agent

  1. Analyze Staged Changes: Run git diff --cached to inspect what changes have been staged.
  2. Determine Conventional Commit Type:
    • feat: New features (e.g., new skill, agent, command, utility).
    • fix: Bug fixes.
    • docs: Documentation updates.
    • refactor: Code restructurings.
    • chore: Maintenance, dependencies, config updates.
  3. Format Subject & Body:
    • Write a concise summary line (subject) under 50 characters.
    • Formulate a structured commit message body detailing Added, Modified, and Deleted resources.
  4. Action: Write the generated message directly to .git/COMMIT_EDITMSG.
  5. Output: Output the commit message for the user to review, and tell them they can run git commit -F .git/COMMIT_EDITMSG to finalize the commit.
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. yesterday First seen · 24 lines · 28 tokens per session scan A c5af76eb095f

Subscribe to this mod's changes

commit is a command published in the GitHub repository guanyang/open-agent-hub (958 stars, last pushed yesterday), licensed MIT. It adds 28 tokens to every session and 264 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 2026-08-30.