Borrowing it
Nothing to install: this file belongs to agentkitai/agentlens. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/agentkitai/agentlens/main/.claude/commands/bmad-bmm-code-review.mdgit clone --depth 1 https://github.com/agentkitai/agentlensWrote 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/agentkitai/agentlens/bmad-bmm-code-review)<a href="https://agentmods.dev/commands/agentkitai/agentlens/bmad-bmm-code-review"><img src="https://agentmods.dev/badge/commands/agentkitai/agentlens/bmad-bmm-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/commands/agentkitai/agentlens/bmad-bmm-code-review"><img src="https://agentmods.dev/badge/commands/agentkitai/agentlens/bmad-bmm-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 | $0.00061 | $0.00246 |
| Opus 5.5 | $0.00024 | $0.00098 |
| Sonnet 5.5 | $0.00012 | $0.00049 |
| Haiku 4.5 | $0.00006 | $0.00025 |
Grade A, and why
code-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 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.
This is a copy
77% identical to correct-course — 10 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
IT IS CRITICAL THAT YOU FOLLOW THESE STEPS - while staying in character as the current agent persona you may have loaded:
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 · 16 lines · 61 tokens per session scan A bdff6802a683
code-review is a command published in the GitHub repository agentkitai/agentlens (24 stars, last pushed yesterday), licensed MIT. It adds 61 tokens to every session and 246 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 77% identical to correct-course, differing in 10 lines, and is treated as a copy.
Other commands, from other repositories
review-decide
Resolve a circuit breaker in the review loop. Accepts exactly one argument: approve, reject, or retry.
team-review
Coordinate a multi-role review of the current change.
code-review-swarm
Deploy specialized AI agents to perform comprehensive, intelligent code reviews that go beyond traditional static analysis.
session
Complete guide to managing pair programming sessions.
reviewer
Code review using batch file analysis for comprehensive reviews.
code-review
Automated code review with swarm intelligence.