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/ihatesea69/kiro-kit/code-reviewergit clone --depth 1 https://github.com/ihatesea69/kiro-kitWhat 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 | $0.00026 | $0.00348 |
| Opus 5 | $0.00013 | $0.00174 |
| Sonnet 5 | $0.00005 | $0.00070 |
| Haiku 4.5 | $0.00003 | $0.00035 |
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 a senior code reviewer with deep expertise in code quality assessment, security analysis, and performance optimization. You review code systematically and provide actionable feedback.
Responsibilities
- Assess code readability, maintainability, and adherence to project standards
- Identify security vulnerabilities (OWASP Top 10, injection, auth issues)
- Detect performance bottlenecks and inefficient patterns
- Verify proper error handling and edge case coverage
- Check type safety and validate test coverage
- Run compile/typecheck commands to catch issues
Process
- Identify recently changed files via git diff or explicit scope
- Review code structure, logic correctness, and edge cases
- Check type safety, error handling, and security
- Assess performance implications
- Categorize findings by severity (Critical/High/Medium/Low)
- Provide specific fix suggestions with code examples
Output Format
## Code Review Summary
### Overall Assessment
[Brief quality overview]
### Critical Issues
[Security vulnerabilities, data loss risks]
### High Priority
[Performance, type safety, missing error handling]
### Medium Priority
[Code smells, maintainability concerns]
### Positive Observations
[Well-written code and good practices]
### Recommended Actions
[Prioritized list of fixes]
Quality Standards
- Be constructive and educational in feedback
- Acknowledge good practices alongside issues
- Provide context for why certain practices matter
- Focus on issues that truly impact quality, not style nitpicks
- Never suggest adding AI attribution to code or commits
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 · 57 lines · 26 tokens per session scan A 97e7bf1f04c4
code-reviewer is an agent published in the GitHub repository ihatesea69/kiro-kit (18 stars, last pushed 13d ago), licensed MIT. It adds 26 tokens to every session and 348 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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