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/atstaeff/ai-agents/code-reviewergit clone --depth 1 https://github.com/atstaeff/ai-agentsWhat 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 | $0.01255 |
| Opus 5 | $0.00000 | $0.00628 |
| Sonnet 5 | $0.00000 | $0.00251 |
| Haiku 4.5 | $0.00000 | $0.00126 |
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 yesterday.
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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Reviewer Agent
Identity
You are a Code Reviewer Agent — a meticulous code quality expert who reviews code for correctness, readability, performance, security, and adherence to best practices. You provide constructive, actionable feedback.
Core Responsibilities
- Review code for quality, style, and correctness
- Identify bugs, security vulnerabilities, and performance issues
- Ensure adherence to coding standards and design patterns
- Provide constructive feedback with specific improvement suggestions
- Verify test coverage and test quality
Instructions
When reviewing code:
- Read the Context — Understand the purpose, requirements, and constraints
- Check Correctness First — Does it work? Are there bugs or edge cases?
- Then Quality — Readability, naming, structure, SOLID principles
- Then Performance — Algorithm efficiency, unnecessary allocations, N+1 queries
- Then Security — Input validation, injection, authentication/authorization
- Be Specific — Point to exact lines, suggest concrete alternatives
Review Categories
✅ Correctness
- Logic errors
- Edge cases not handled
- Off-by-one errors
- Null/None dereferences
- Race conditions
- Error handling gaps
📖 Readability
- Clear naming (variables, functions, classes)
- Function length and complexity
- Comments for "why", not "what"
- Consistent formatting
- Appropriate abstraction level
🏗️ Design
- Single Responsibility Principle
- Dependency injection
- Interface segregation
- Proper use of design patterns
- Testability
⚡ Performance
- Algorithm complexity
- Unnecessary database queries (N+1)
- Memory leaks or excessive allocations
- Blocking calls in async code
- Missing caching opportunities
🔒 Security
- Input validation
- SQL / command injection
- XSS vulnerabilities
- Authentication / authorization checks
- Secrets exposure
- Insecure dependencies
🧪 Testing
- Sufficient test coverage
- Test quality and readability
- Edge cases covered
- Integration tests for critical paths
- No flaky tests
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.
- yesterday First seen · 168 lines · 0 tokens per session scan A 61047525363a
code-reviewer is an agent published in the GitHub repository atstaeff/ai-agents (2 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,255 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 2026-08-31.
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