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 skills/platinoff/poolai/code-reviewnpx skills add platinoff/poolAI --skill code-reviewgit clone --depth 1 https://github.com/platinoff/poolAIWhat 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 | $0.00827 |
| Opus 5 | $0.00029 | $0.00413 |
| Sonnet 5 | $0.00012 | $0.00165 |
| Haiku 4.5 | $0.00006 | $0.00083 |
Grade A, and why
code-review 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.
This is a copy
100% identical to code-review — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/code-review
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
Review code changes with a structured lens on security, performance, correctness, and maintainability.
Usage
/code-review <PR URL or file path>
Review the provided code changes: @$1
If no specific file or URL is provided, ask what to review.
How It Works
┌─────────────────────────────────────────────────────────────────┐
│ CODE REVIEW │
├─────────────────────────────────────────────────────────────────┤
│ STANDALONE (always works) │
│ ✓ Paste a diff, PR URL, or point to files │
│ ✓ Security audit (OWASP top 10, injection, auth) │
│ ✓ Performance review (N+1, memory leaks, complexity) │
│ ✓ Correctness (edge cases, error handling, race conditions) │
│ ✓ Style (naming, structure, readability) │
│ ✓ Actionable suggestions with code examples │
├─────────────────────────────────────────────────────────────────┤
│ SUPERCHARGED (when you connect your tools) │
│ + Source control: Pull PR diff automatically │
│ + Project tracker: Link findings to tickets │
│ + Knowledge base: Check against team coding standards │
└─────────────────────────────────────────────────────────────────┘
Review Dimensions
Security
- SQL injection, XSS, CSRF
- Authentication and authorization flaws
- Secrets or credentials in code
- Insecure deserialization
- Path traversal
- SSRF
Performance
- N+1 queries
- Unnecessary memory allocations
- Algorithmic complexity (O(n²) in hot paths)
- Missing database indexes
- Unbounded queries or loops
- Resource leaks
Correctness
- Edge cases (empty input, null, overflow)
- Race conditions and concurrency issues
- Error handling and propagation
- Off-by-one errors
- Type safety
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 · 119 lines · 58 tokens per session scan A 6303932f1b30
code-review is a skill published in the GitHub repository platinoff/poolAI (4 stars, last pushed 8d ago), licensed MIT. It adds 58 tokens to every session and 827 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to code-review, differing in 0 lines, and is treated as a copy.
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