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/obviousworks/vibe-coding-ai-rules/102-python-patternsgit clone --depth 1 https://github.com/obviousworks/vibe-coding-ai-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 | $0.00000 | $0.00178 |
| Opus 5 | $0.00000 | $0.00089 |
| Sonnet 5 | $0.00000 | $0.00036 |
| Haiku 4.5 | $0.00000 | $0.00018 |
Grade A, and why
102-python-patterns 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.
What it actually says
Python Patterns
Type Hints
- Required for all function signatures (params + return type)
- Use Pydantic models for data validation
- Use TypeVar and Generic for reusable types
Async
- Use async/await for all I/O operations
- Use asyncio.gather() for concurrent operations
- Never mix sync and async code in hot paths
Style
- Follow PEP 8 strictly
- Use structural pattern matching (Python 3.10+) over complex if/else
- Prefer dataclasses or Pydantic over plain dicts
- Use pathlib over os.path
Error Handling
- Use specific exception types (never bare except)
- Create custom exceptions for domain errors
- Use contextlib for resource management
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 · 29 lines · 0 tokens per session scan A 250816d73735
102-python-patterns is a cursor rule published in the GitHub repository obviousworks/vibe-coding-ai-rules (88 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 178 tokens. 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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