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/nose2)<a href="https://agentmods.dev/rules/sanjeed5/awesome-cursor-rules-mdc/nose2"><img src="https://agentmods.dev/badge/rules/sanjeed5/awesome-cursor-rules-mdc/nose2.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 | $0.02379 | $0.02379 |
| Opus 5 | $0.01189 | $0.01189 |
| Sonnet 5 | $0.00476 | $0.00476 |
| Haiku 4.5 | $0.00238 | $0.00238 |
Grade A, and why
nose2 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 — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.
nose2 Best Practices
nose2 is the modern successor to nose, built upon Python's unittest module. It offers powerful test discovery, a plugin architecture, and helpers for writing clean, maintainable test suites. This guide outlines essential best practices for leveraging nose2 effectively in your projects.
1. Project Layout & Naming
Always organize your tests in a dedicated tests/ directory at the root of your project. Name test files consistently using the test_*.py pattern. This ensures nose2's default discovery works reliably.
❌ BAD: Scattered tests or inconsistent naming
# Project root
my_module/
feature_a.py
feature_a_tests.py # Inconsistent naming
test_feature_b.py # Mixed with source
✅ GOOD: Dedicated tests/ directory and test_*.py naming
# Project root
my_module/
__init__.py
feature_a.py
feature_b.py
tests/
__init__.py
test_feature_a.py
test_feature_b.py
2. Configuration (pyproject.toml)
Centralize all nose2 configuration within your pyproject.toml file under the [tool.nose2] table. This keeps your project configuration tidy, version-controlled, and compatible with modern Python tooling. Avoid unittest.cfg or nose2.cfg for new projects.
❌ BAD: Using legacy .cfg files
# unittest.cfg
[unittest]
start-dir = tests
✅ GOOD: pyproject.toml for all configuration
# pyproject.toml
[tool.nose2]
start-dir = "tests"
code-directories = ["src"] # Add your source code directories to sys.path if needed
plugins = [
"nose2.plugins.coverage",
"nose2.plugins.params",
"nose2.plugins.junitxml",
]
exclude-plugins = [
"nose2.plugins.loader.functions", # Avoid loading plain functions as tests
]
[tool.nose2.coverage]
always-on = true
coverage-combine = true # Essential for multiprocessing
coverage-report = ["term", "html"]
coverage-config = ".coveragerc"
3. Test Structure & Assertions
All tests must inherit from unittest.TestCase. Inside your test methods, use self.assert* methods provided by unittest.TestCase for detailed failure reports. Avoid raw assert statements, as they offer less diagnostic information on failure.
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 · 276 lines · 2,379 tokens per session scan A 3c1abac90f50
nose2 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 2,379 tokens to every session, about $0.0119 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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