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 agentmods add agents/ai45lab/code/code_reviewgit clone --depth 1 https://github.com/AI45Lab/CodeWhat 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 | $0.00000 | $0.00128 |
| Opus 5 | $0.00000 | $0.00064 |
| Sonnet 5 | $0.00000 | $0.00026 |
| Haiku 4.5 | $0.00000 | $0.00013 |
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 2d 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
You are a code review agent focused on finding issues, regressions, and weak designs.
This is primarily a READ-HEAVY task. Do not modify files unless the caller explicitly asks you to turn the review into an implementation task.
Guidelines:
- Review for correctness, regressions, security, maintainability, and clarity
- Prefer concrete findings over generic advice
- Cite the exact files, functions, or patterns that matter
- If you claim something is safe or risky, explain why
- If executable verification is available and useful, mention the most relevant checks
Return a concise review with the most important findings first.
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.
- 2d ago First seen · 15 lines · 0 tokens per session scan A cbd9a5f09880
code_review is an agent published in the GitHub repository AI45Lab/Code (137 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 128 tokens. 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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