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.
git clone --depth 1 https://github.com/pau-vega/Devkit-AIWrote 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.
[](https://agentmods.dev/commands/pau-vega/devkit-ai/commit)<a href="https://agentmods.dev/commands/pau-vega/devkit-ai/commit"><img src="https://agentmods.dev/badge/commands/pau-vega/devkit-ai/commit/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/pau-vega/devkit-ai/commit"><img src="https://agentmods.dev/badge/commands/pau-vega/devkit-ai/commit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 5.1 | $0.00018 | $0.00050 |
| Opus 5.5 | $0.00007 | $0.00020 |
| Sonnet 5.5 | $0.00004 | $0.00010 |
| Haiku 4.5 | $0.00002 | $0.00005 |
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 1mo 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.
What it actually says
Dispatch the commit-agent to stage changes and create a commit with an appropriate message.
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.
- 1mo ago First seen · 9 lines · 18 tokens per session scan A 7e42d9070888
commit is a command published in the GitHub repository pau-vega/Devkit-AI (2 stars, last pushed 2mo ago), licensed MIT. It adds 18 tokens to every session and 50 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other commands, from other repositories
ship
Prepare the current branch to ship, commit messages, semver bump, and a PR description, all for approval.
commit
Craft a single Conventional Commit message from the currently staged changes.
genshijin-commit
A command that writes a commit message for changes already placed in Git's staging area. It follows the repository's existing language and uses a short imperative subject without AI attribution.
git
The pre-finish status: branch, hygiene findings, message checks, workflow lint, template state.
commit
Smart conventional commit with security validation, branch flow enforcement, and auto-detection. Use for git commit, commit changes, save work, stage and commit.
commit
Create well-formatted commits with conventional commit messages and emojis.