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.
npx agentmods add rules/davidl71/project-management-automation/pythongit clone --depth 1 https://github.com/davidl71/project-management-automationWhat 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 | $0.00204 | $0.00204 |
| Opus 5 | $0.00102 | $0.00102 |
| Sonnet 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 yesterday.
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.
- yesterday 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 6mo ago), licensed MIT. It adds 204 tokens to every session, about $0.0010 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 2026-08-31.
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