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.
git clone --depth 1 https://github.com/Luxvil/ai-coding-rulesWrote 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/rules/luxvil/ai-coding-rules/62-stack-python)<a href="https://agentmods.dev/rules/luxvil/ai-coding-rules/62-stack-python"><img src="https://agentmods.dev/badge/rules/luxvil/ai-coding-rules/62-stack-python/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/rules/luxvil/ai-coding-rules/62-stack-python"><img src="https://agentmods.dev/badge/rules/luxvil/ai-coding-rules/62-stack-python.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 | $0.00000 | $0.00118 |
| Opus 5.5 | $0.00000 | $0.00047 |
| Sonnet 5.5 | $0.00000 | $0.00024 |
| Haiku 4.5 | $0.00000 | $0.00012 |
Grade A, and why
62-stack-python 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.
This is a copy
100% identical to 62-stack-python — 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.
What it actually says
Python / FastAPI
Typing & Validation
- Use Pydantic v2 models for request/response schemas.
- Avoid raw dicts for external inputs.
Async
- Use
async deffor I/O‑bound operations. - Prefer
asyncpg(or async‑capable drivers) for DB access.
Style
- Prefer functions over classes unless stateful behavior is required.
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 · 20 lines · 0 tokens per session scan A 76c9c38c82b5
62-stack-python is a cursor rule published in the GitHub repository Luxvil/ai-coding-rules (3 stars, last pushed 20d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 118 tokens. A static security scan graded it A with 0 findings. It is 100% identical to 62-stack-python, differing in 0 lines, and is treated as a copy.
Other cursor rules, from other repositories
virtual-environment
Rules for using Python virtual environments - check requirements.txt for installed libraries and use the existing virtual environment directory.
code-patterns
Rules for component structure, import patterns using @/ path aliases (never relative paths), import ordering, and TypeScript conventions.
fastapi
Cursor rule "fastapi" from ItamarZand88/awesome-agent-conventions, covering fastapi best practices, project structure, api design, models and database.
python
Python best practices and patterns for modern software development with Flask and SQLite.
aiohttp
This guide defines definitive best practices for using aiohttp, focusing on efficient, robust, and maintainable asynchronous HTTP client code.
django
Definitive guidelines for writing maintainable, performant, and secure Django applications, emphasizing modern best practices, clear code organization, and efficient patterns.