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/jhl-labs/vibe-projectWrote 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/jhl-labs/vibe-project/python)<a href="https://agentmods.dev/rules/jhl-labs/vibe-project/python"><img src="https://agentmods.dev/badge/rules/jhl-labs/vibe-project/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/jhl-labs/vibe-project/python"><img src="https://agentmods.dev/badge/rules/jhl-labs/vibe-project/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 | $0.00324 |
| Opus 5.5 | $0.00000 | $0.00130 |
| Sonnet 5.5 | $0.00000 | $0.00065 |
| Haiku 4.5 | $0.00000 | $0.00032 |
Grade A, and why
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.
What it actually says
Python Rules
Style Guide
- Follow PEP 8
- Use type hints for all function parameters and returns
- Maximum line length: 100 characters
- Use f-strings for formatting
Naming
- Files:
snake_case.py - Classes:
PascalCase - Functions/Variables:
snake_case - Constants:
UPPER_SNAKE_CASE - Private:
_leading_underscore
Imports
# Order: stdlib → third-party → local
import os
from typing import Optional
import requests
from fastapi import FastAPI
from app.core import config
from app.domain import User
Type Hints
def get_user(user_id: str) -> User | None:
"""Get user by ID."""
pass
async def create_user(data: CreateUserInput) -> User:
"""Create a new user."""
pass
Error Handling
# Use specific exceptions
class UserNotFoundError(Exception):
def __init__(self, user_id: str):
super().__init__(f"User not found: {user_id}")
# Handle gracefully
try:
result = await operation()
except SpecificError as e:
logger.error(f"Operation failed: {e}")
raise
Testing
- Use pytest
- Fixtures for setup
- Parametrize for multiple cases
- Mock external dependencies with pytest-mock
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 · 72 lines · 0 tokens per session scan A a2a7ab616008
python is a cursor rule published in the GitHub repository jhl-labs/vibe-project (2 stars, last pushed 8mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 324 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 2026-08-31.
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