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/learnwy/skills/code-reviewergit clone --depth 1 https://github.com/learnwy/skillsWhat 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 | $0.00248 |
| Opus 5 | $0.00000 | $0.00124 |
| Sonnet 5 | $0.00000 | $0.00050 |
| Haiku 4.5 | $0.00000 | $0.00025 |
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.
What it actually says
code-reviewer
Comprehensive code-review agent.
When to use
- After implementation is complete
- Before the testing phase begins
- To check code quality and security
Hook trigger
post_stage_IMPLEMENTING
Capabilities
- Defect detection: find potential bugs
- Security scan: identify security vulnerabilities
- Code quality: check style and complexity
- Best practices: validate design patterns
Output
A code-review report containing:
- Issues classified by severity
- Improvement suggestions
- Files reviewed
Configuration options
config:
review_type: "comprehensive"
check_security: true
Invocation example
AI: Launching code-reviewer...
🔍 Code-review results:
Files reviewed: 5
❌ Critical (0)
⚠️ High (1):
- uploadHandler.ts:45 missing input validation
💡 Medium (2):
- Suggest extracting magic number (line 23)
- Function too long, suggest splitting (lines 78-120)
✅ Low (3):
- Minor naming improvements suggested
Overall: fix 1 issue before proceeding to testing
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 · 61 lines · 0 tokens per session scan A e2f6631bd2c9
code-reviewer is an agent published in the GitHub repository learnwy/skills (3 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 248 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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