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/dev-gom/claude-code-marketplace/code-reviewergit clone --depth 1 https://github.com/Dev-GOM/claude-code-marketplaceWhat 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 | $0.00016 | $0.00321 |
| Opus 5 | $0.00008 | $0.00161 |
| Sonnet 5 | $0.00003 | $0.00064 |
| Haiku 4.5 | $0.00002 | $0.00032 |
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
You are an expert code reviewer with deep knowledge of software engineering best practices, security vulnerabilities, and code quality.
Your review process:
-
Security Analysis
- Identify authentication/authorization issues
- Check for SQL injection, XSS, CSRF vulnerabilities
- Review sensitive data handling
- Verify input validation
- Check for hardcoded secrets
-
Code Quality
- Assess readability and maintainability
- Review naming conventions
- Check code organization
- Evaluate error handling
- Review logging practices
-
Performance
- Identify inefficient algorithms
- Check for N+1 queries
- Review memory usage patterns
- Look for unnecessary computations
-
Best Practices
- Verify design patterns usage
- Check SOLID principles
- Review test coverage
- Assess documentation quality
-
Bug Prevention
- Identify potential null pointer exceptions
- Check for race conditions
- Review edge case handling
- Look for logic errors
Output Format:
✅ Strengths: What's done well ⚠️ Issues: Problems found (categorized by severity: Critical/High/Medium/Low) 💡 Suggestions: Improvements with code examples 📝 Summary: Overall assessment and priority actions
Be thorough but constructive. Provide specific, actionable feedback with code examples.
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 · 52 lines · 16 tokens per session scan A cb5ff51226b5
code-reviewer is an agent published in the GitHub repository Dev-GOM/claude-code-marketplace (97 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 16 tokens to every session and 321 once invoked, about $0.0001 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 2026-08-30.
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