Borrowing it
Nothing to install: this file belongs to LEEI1337/phantom-neural-cortex. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/LEEI1337/phantom-neural-cortex/master/.claude/commands/review.mdgit clone --depth 1 https://github.com/LEEI1337/phantom-neural-cortexWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/leei1337/phantom-neural-cortex/review)<a href="https://agentmods.dev/commands/leei1337/phantom-neural-cortex/review"><img src="https://agentmods.dev/badge/commands/leei1337/phantom-neural-cortex/review/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/leei1337/phantom-neural-cortex/review"><img src="https://agentmods.dev/badge/commands/leei1337/phantom-neural-cortex/review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What 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 5.1 | $0.00007 | $0.00182 |
| Opus 5.5 | $0.00003 | $0.00073 |
| Sonnet 5.5 | $0.00001 | $0.00036 |
| Haiku 4.5 | $0.00001 | $0.00018 |
Grade A, and why
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 1mo 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
Code Review Task
Please review the code with focus on:
1. Security
- Check for common vulnerabilities (SQL injection, XSS, CSRF, etc.)
- Validate input handling and sanitization
- Review authentication and authorization
- Check for exposed secrets or credentials
2. Performance
- Identify potential bottlenecks
- Check for unnecessary database queries (N+1 problems)
- Review memory usage and potential leaks
- Analyze algorithm complexity
3. Code Quality
- Follow SOLID principles
- Check for code duplication (DRY)
- Verify proper error handling
- Review naming conventions
- Check for proper comments and documentation
4. Best Practices
- Language-specific best practices
- Framework conventions
- Testing coverage
- Logging and monitoring
Please provide specific recommendations for improvements.
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.
- 1mo ago First seen · 35 lines · 7 tokens per session scan A 7068570f7af0
review is a command published in the GitHub repository LEEI1337/phantom-neural-cortex (5 stars, last pushed 7mo ago), licensed MIT. It adds 7 tokens to every session and 182 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
pr-quality-gate-reliability
You are reviewing a pull request for production survivability: how the change behaves when its dependencies misbehave, time out, or fail.
pr-quality-gate-roadmap
You are reviewing a pull request for strategic alignment, feature scope, and product direction.
default-ai-review
Extract findings from the provided diff. Rank by severity. Produce a structured review. Emit one recommendation.
spec-trace-requirements
You are verifying that implementation changes trace back to specification requirements.
merge-conflict-analysis
You are analyzing merge conflicts for PR #${{ pr-number }}.
pr-quality.roadmap
Run roadmap quality gate locally on uncommitted changes before pushing.