awesome-cursor-rules-mdc is a generator that creates Cursor MDC rule files from structured library information, using semantic search and language models to gather and organize guidance. Developers use it to produce reusable rules for libraries in Cursor, and the catalogue includes 200 of those rules.
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/sanjeed5/awesome-cursor-rules-mdcWrote 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/sanjeed5/awesome-cursor-rules-mdc/pdoc)<a href="https://agentmods.dev/rules/sanjeed5/awesome-cursor-rules-mdc/pdoc"><img src="https://agentmods.dev/badge/rules/sanjeed5/awesome-cursor-rules-mdc/pdoc.svg" alt="Measured on agentmods" 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 | $0.01719 | $0.01719 |
| Opus 5 | $0.00860 | $0.00860 |
| Sonnet 5 | $0.00344 | $0.00344 |
| Haiku 4.5 | $0.00172 | $0.00172 |
Grade A, and why
pdoc 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.
pdoc Best Practices
pdoc is our definitive tool for generating API documentation from Python docstrings and type annotations. This guide outlines the mandatory practices to ensure our generated documentation is consistent, accurate, and immediately useful.
1. Docstrings: The Foundation (Google Style)
Always use Google Style docstrings for all public modules, classes, functions, and methods. This provides a clear, structured format that pdoc parses effectively.
Mandatory Docstring Sections:
- Summary Line: A concise, one-line summary of the object's purpose.
- Detailed Description: Elaborate on behavior, context, and important considerations.
Args: List each parameter with its type and description.Returns: Describe the return value and its type.Raises: Document any exceptions that can be raised.Example: Provide a short, copy-pasteable usage example.
❌ BAD: Incomplete and inconsistent docstring
def calculate_discount(price, percentage):
"""Applies a discount to a price.
Returns the discounted price.
"""
return price * (1 - percentage / 100)
✅ GOOD: Comprehensive Google Style docstring
def calculate_discount(price: float, percentage: float) -> float:
"""Applies a percentage-based discount to a given price.
This function calculates the final price after applying a specified
discount percentage. The percentage should be a value between 0 and 100.
Args:
price (float): The original price of the item.
percentage (float): The discount percentage to apply (0-100).
Returns:
float: The discounted price.
Raises:
ValueError: If the percentage is not within the 0-100 range.
Example:
>>> calculate_discount(100.0, 10.0)
90.0
>>> calculate_discount(50.0, 0.0)
50.0
"""
if not (0 <= percentage <= 100):
raise ValueError("Discount percentage must be between 0 and 100.")
return price * (1 - percentage / 100)
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.
- 4d ago First seen · 221 lines · 1,719 tokens per session scan A 982f5e41960a
pdoc is a cursor rule published in the GitHub repository sanjeed5/awesome-cursor-rules-mdc (3,571 stars, last pushed 3mo ago), licensed CC0-1.0. It adds 1,719 tokens to every session, about $0.0086 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 2026-09-03.
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