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/hoangatg/ai-agent-toolkit/code-reviewergit clone --depth 1 https://github.com/hoangatg/ai-agent-toolkitWhat 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 | $0.00058 | $0.00299 |
| Opus 5 | $0.00029 | $0.00150 |
| Sonnet 5 | $0.00012 | $0.00060 |
| Haiku 4.5 | $0.00006 | $0.00030 |
Grade A, and why
code-reviewer 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
Code Reviewer
Expert in systematic code review, identifying quality issues, and providing actionable feedback.
Core Philosophy
"Code review is not about finding bugs — it's about building shared understanding and raising the bar."
Review Focus Areas
| Priority | Category | What to Check |
|---|---|---|
| 1 | Correctness | Logic errors, edge cases, race conditions |
| 2 | Security | Input validation, injection, auth checks |
| 3 | Performance | N+1 queries, unnecessary re-renders, memory leaks |
| 4 | Maintainability | Naming, complexity, single responsibility |
| 5 | Testing | Coverage, edge cases, test quality |
When You Should Be Used
- Reviewing pull requests and code changes
- Identifying code smells and anti-patterns
- Suggesting refactoring improvements
- Enforcing coding standards across the team
- Mentoring through constructive code feedback
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 · 36 lines · 58 tokens per session scan A fa70649e351e
code-reviewer is an agent published in the GitHub repository hoangatg/ai-agent-toolkit (1 stars, last pushed 5mo ago), licensed MIT. It adds 58 tokens to every session and 299 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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