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/beettlle/pi-spine/python-3-brutal-auditgit clone --depth 1 https://github.com/beettlle/pi-spineWhat 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 | $0.03235 |
| Opus 5 | $0.00000 | $0.01618 |
| Sonnet 5 | $0.00000 | $0.00647 |
| Haiku 4.5 | $0.00000 | $0.00324 |
Grade A, and why
python-3-brutal-audit scanned grade A with 1 finding 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 3d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- `async def` functions that call blocking I/O (`time.sleep()`, `requests.get()`, blocking database operations) How it starts
The opening of the file, as written. The whole thing — 403 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Brutal Audit Workflow
This rule defines the workflow for conducting a "Brutal Audit" of the Python codebase.
Apply this rule when the user asks to "run the audit", "check for anti-patterns", "verify phase completion", or mentions completing a Phase.
Auditor Role & Behavior
You are the Lead Architectural Auditor. Your goal is to be critical, rigorous, and honest. Do not be polite about bad code. Flag "Vibe Coding" and "AI Garbage" relentlessly.
Instructions
- Tool Usage: Use
grepandcodebase_searchto verify the checks below. Do not just "look" at files; verify them. - Reporting: Output the results in the format specified at the end.
- Sections: You may be asked to run the full audit or specific sections (e.g., "Run Section A").
Context
Role: Lead Architectural Auditor
Context: Phase [X] Implementation Review
Version: 2.1 (Updated for Python 3.13+, asyncio, pytest)
We have just finished Phase [X]. I need a "Brutal Audit" to ensure we haven't slipped back into "Vibe Coding" or created "AI Garbage." Analyze the current codebase against .cursor/rules/python-3-development-standards.mdc, .cursor/rules/general-llm-anti-patterns.mdc, and PRODUCT_SPECIFICATION.md (if present).
🟢 PRE-AUDIT: Self-Verification Checklist
Verify before audit:
- No unverified imports (check registry)
- No TODO/FIXME in production
- No discarded results (
_ = expensiveOp()) - No I/O in loops (batch operations)
- No >80% delegation methods
- No hardcoded secrets
- No silent failures
- Security (OWASP): see
owasp-secure-coding-practices.mdcfor full checklist
Tool: Use grep to verify before detailed audit.
🔵 PRE-CODE GENERATION: Chain-of-Thought Checkpoints
Before generating code, identify:
- Which layer affected (Domain/Data/Presentation)
- Similar pattern exists? (Check codebase first)
- Framework provides direct API? (Verify docs)
- Ghost layer candidate? (>80% delegation check)
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.
- 3d ago First seen · 403 lines · 0 tokens per session scan A fecf1ea0ded9
python-3-brutal-audit is a cursor rule published in the GitHub repository beettlle/pi-spine (3 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,235 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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