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 mtarcure/claude-vibe-squad --skill code-review-loopgit clone --depth 1 https://github.com/mtarcure/claude-vibe-squadWrote 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/mtarcure/claude-vibe-squad/code-review-loop)<a href="https://agentmods.dev/skills/mtarcure/claude-vibe-squad/code-review-loop"><img src="https://agentmods.dev/badge/skills/mtarcure/claude-vibe-squad/code-review-loop/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/mtarcure/claude-vibe-squad/code-review-loop"><img src="https://agentmods.dev/badge/skills/mtarcure/claude-vibe-squad/code-review-loop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00054 | $0.00521 |
| Opus 5.5 | $0.00022 | $0.00208 |
| Sonnet 5.5 | $0.00011 | $0.00104 |
| Haiku 4.5 | $0.00005 | $0.00052 |
Grade A, and why
code-review-loop 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.
How it starts
The opening of the file, as written. The whole thing — 30 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Review Loop
Run a review as a bounded, converging loop instead of an open-ended critique, so it terminates on evidence rather than exhaustion. The reviewer owns evidence and recommendations; Chrono or the controlling workflow owns the consequential accept/request-changes decision and any task-status transition.
Steps
- Establish the subject: the exact diff, base ref, and stated intent. A review without a fixed base is not reproducible.
- Read the intent first, the diff second. Findings are deviations from stated intent or from invariants the surrounding code relies on — not deviations from personal preference.
- Pass one — correctness: trace each changed path for wrong results, unhandled states, broken invariants, and concurrency or lifetime errors.
- Pass two — blast radius: find callers, persisted data, and public contracts the change touches; a locally-correct change can still be globally wrong.
- Pass three — quality: naming, duplication, and dead code, reported only when they impede future correctness. Never let this pass outrank pass one.
- Rank findings with
review-severity-ladder, and validate each againstclaim-verificationbefore writing it down. - Emit a findings package and recommendation, not a controller verdict. Recommend acceptance when no verified finding survives the agreed floor, or recommend changes with a specific, checkable list. Every recommended change names the file, the line, and the failing scenario. Never set approval, request-changes, or task status from the reviewer role.
- On the next iteration, re-review only the delta plus anything the delta invalidates. Close findings explicitly as fixed, disputed, or accepted-as-residual.
- Stop when no finding above the agreed severity floor survives verification. Escalating the threat model to keep finding issues is a failure of the loop, not diligence.
Acceptance
- The review names its base ref and the intent it reviewed against.
- Every finding states a concrete failing scenario, not a general concern.
- Findings are severity-ranked and the recommendation follows from the ranking; the controller makes the decision.
- Each iteration closes prior findings explicitly; none are silently dropped.
- The loop terminates on a stated floor rather than on reviewer fatigue.
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 · 30 lines · 54 tokens per session scan A 270cd4deb123
code-review-loop is a skill published in the GitHub repository mtarcure/claude-vibe-squad (165 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 521 once invoked, about $0.0002 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 2026-08-30.
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Improve clarity and reduce needless complexity after behavior is understood; preserve behavior and keep cleanup separate from correctness fixes.