nose2

nose2 is a cursor rule for Cursor from sanjeed5/awesome-cursor-rules-mdc. It costs 2,379 tokens per session, scanned A, original, CC0-1.0.

A set of guidelines for writing and organizing Python tests with nose2, a test runner built on Python’s standard unittest framework.

In plain words
What is it for?
Use it when arranging test files, configuring nose2 in pyproject.toml, and maintaining Python test suites.
Why use it?
It helps tests be discovered reliably and keeps their configuration and structure consistent. It also highlights common problems in test organization and setup.

Cursor rule for Cursor

Written for Cursor: a Cursor rule (.mdc).

Good fit Use it when arranging test files, configuring nose2 in pyproject.toml, and maintaining Python test suites.

Compare 6 cursor rules from other repositories ↓
Install with agentmods
npx agentmods add rules/sanjeed5/awesome-cursor-rules-mdc/nose2
About the project

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.

sanjeed5/awesome-cursor-rules-mdc · 3,571 stars · on GitHub

Install

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.

Clone the repo
git clone --depth 1 https://github.com/sanjeed5/awesome-cursor-rules-mdc

Made for: Cursor.

Wrote 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.

agentmods badge for nose2

README.md
[![agentmods](https://agentmods.dev/badge/rules/sanjeed5/awesome-cursor-rules-mdc/nose2.svg)](https://agentmods.dev/rules/sanjeed5/awesome-cursor-rules-mdc/nose2)
Your own site
<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>
Per session 2,379 This file is loaded in full into every session.
When invoked 2,379 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 4d ago against content hash 3c1abac90f50, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

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.

rules-mdc/nose2.mdc · 276 lines

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.

Read the full file on GitHub · 276 lines

Changes

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.

  1. 4d ago First seen · 276 lines · 2,379 tokens per session scan A 3c1abac90f50

Subscribe to this mod's changes

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.