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/davidl71/project-management-automationWrote 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/davidl71/project-management-automation/python)<a href="https://agentmods.dev/rules/davidl71/project-management-automation/python"><img src="https://agentmods.dev/badge/rules/davidl71/project-management-automation/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/davidl71/project-management-automation/python"><img src="https://agentmods.dev/badge/rules/davidl71/project-management-automation/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 | $0.00204 | $0.00204 |
| Opus 5.5 | $0.00082 | $0.00082 |
| Sonnet 5.5 | $0.00041 | $0.00041 |
| Haiku 4.5 | $0.00020 | $0.00020 |
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 Development Rules
Code Style
- Follow PEP 8 conventions
- Use type hints for function arguments and return values
- Maximum line length: 100 characters
- Use docstrings for all public functions and classes
Imports
- Group imports: stdlib, third-party, local
- Use absolute imports over relative where possible
- Sort imports alphabetically within groups
Error Handling
- Use specific exception types
- Always include informative error messages
- Log exceptions with context
Testing
- Write tests for all new functions
- Use pytest as the testing framework
- Aim for >80% test coverage
- Always use
uv run pytestto run tests (never usepip installor manual venv)
Security
- Never hardcode secrets or credentials
- Use environment variables for configuration
- Validate all external input
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 · 35 lines · 204 tokens per session scan A 0319e11ff127
python is a cursor rule published in the GitHub repository davidl71/project-management-automation (1 stars, last pushed 8mo ago), licensed MIT. It adds 204 tokens to every session, about $0.0008 per session on Opus 5.5. 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 2026-08-31.
Other cursor rules, from other repositories
python_tests
We use the unit tests to cover internal behavior that can work without the web / backend counterpart. We aim for 95%+ unit test coverage of our Python code in lib/streamlit.
python-llm-ml-workflow-cursorrules-prompt-file
Cursor rules for Python LLM & ML development with workflow integration.
python
Python best practices and patterns for modern software development with Flask and SQLite.
python-containerization-cursorrules-prompt-file
Cursor rules for Python development with containerization integration.
python-django-general
General coding guidance for Python and Django projects, including naming, formatting, modular apps, built-in tools, and maintainable structure. Python is a programming language, and Django is a Python web framework.
python-general-coding-standards
A set of general standards for Python projects, including type hints, input checking, code style, security, web requests, background work, and tests. It also covers FastAPI-specific tasks such as CORS and authentication.