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.
npx skills add airvalona/antigravity-like-claude-code --skill reviewgit clone --depth 1 https://github.com/airvalona/antigravity-like-claude-codeWrote 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/skills/airvalona/antigravity-like-claude-code/review)<a href="https://agentmods.dev/skills/airvalona/antigravity-like-claude-code/review"><img src="https://agentmods.dev/badge/skills/airvalona/antigravity-like-claude-code/review/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/skills/airvalona/antigravity-like-claude-code/review"><img src="https://agentmods.dev/badge/skills/airvalona/antigravity-like-claude-code/review.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 | $0.00058 | $0.00336 |
| Opus 5 | $0.00029 | $0.00168 |
| Sonnet 5 | $0.00012 | $0.00067 |
| Haiku 4.5 | $0.00006 | $0.00034 |
Grade A, and why
review 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 9d 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
/review — Fast PR Review
Port of Claude Code's /review. This is the "quick pass" version — for a deep
multi-angle audit use code-review instead.
Arguments
/review— quick pass on the current uncommitted diff/review <PR number or branch>— quick pass on that PR/branch's diff against its base
Steps
- Pull the diff (
git difforgit diff <base>...<branch>, orgh pr diff <n>if the GitHub CLI is available and a PR number was given). - Single pass, no sub-checklists: read the diff top to bottom and flag anything that would make you hesitate to approve — bugs, missing error handling, unclear intent, obviously missing tests.
- Keep the output short: a 2-4 sentence overall take, followed by a short list of specific concerns (if any), each one line.
- Do not apply fixes — this command reports only.
When to escalate
If the diff is large, touches security-sensitive code, or the quick pass surfaces
something serious, say so explicitly and suggest the user run code-review or
security-review for a deeper look rather than trying to cover everything here.
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.
- 9d ago First seen · 30 lines · 58 tokens per session scan A fff4055a9ff5
review is a skill published in the GitHub repository airvalona/antigravity-like-claude-code (2 stars, last pushed 2mo ago), licensed MIT. It adds 58 tokens to every session and 336 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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