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 rules/steipete/agent-rules/code-analysisgit clone --depth 1 https://github.com/steipete/agent-rulesWhat 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 | $0.00245 | $0.00245 |
| Opus 5 | $0.00122 | $0.00122 |
| Sonnet 5 | $0.00049 | $0.00049 |
| Haiku 4.5 | $0.00024 | $0.00024 |
Grade A, and why
code-analysis 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- code-analysis — 100% identical, 0 lines differ
What it actually says
Code Analysis
Perform advanced code analysis with multiple inspection options.
Analysis Menu:
1. Knowledge Graph Generation
- Map relationships between components
- Visualize dependencies
- Identify architectural patterns
2. Code Quality Evaluation
- Complexity metrics
- Maintainability index
- Technical debt assessment
- Code duplication detection
3. Performance Analysis
- Identify bottlenecks
- Memory usage patterns
- Algorithm complexity
- Database query optimization
4. Security Review
- Vulnerability scanning
- Input validation checks
- Authentication/authorization review
- Sensitive data handling
5. Architecture Review
- Design pattern adherence
- SOLID principles compliance
- Coupling and cohesion analysis
- Module boundaries
6. Test Coverage Analysis
- Coverage percentages
- Untested code paths
- Test quality assessment
- Missing edge cases
Process:
- Select analysis type based on need
- Run appropriate tools and inspections
- Generate comprehensive report
- Provide actionable recommendations
- Prioritize improvements by impact
Output Format:
- Executive summary
- Detailed findings
- Risk assessment
- Improvement roadmap
- Code examples where relevant
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 · 54 lines · 245 tokens per session scan A bd3a4ada9cb1
code-analysis is a cursor rule published in the GitHub repository steipete/agent-rules (5,696 stars, last pushed 4mo ago), licensed MIT. It adds 245 tokens to every session, about $0.0012 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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