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/sunnykgupta/ai-helpers/pythongit clone --depth 1 https://github.com/sunnykgupta/AI-HelpersWhat 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 | $0.00000 | $0.00358 |
| Opus 5 | $0.00000 | $0.00179 |
| Sonnet 5 | $0.00000 | $0.00072 |
| Haiku 4.5 | $0.00000 | $0.00036 |
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 2d 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 Conventions
These rules apply only to .py files. They extend (not override) the baseline rules in project-always.mdc.
Types & Style
- Use type annotations on all public functions and class methods (PEP 484).
- Prefer
dataclassesorpydanticmodels over plaindictfor structured data. - No
# type: ignorewithout a comment explaining why. - Follow PEP 8; enforce with
ruff(orflake8+isortif already configured). - Format with
black; do not mix formatter and manual style changes in the same commit.
Imports
- Group imports: stdlib → third-party → local, separated by blank lines.
- Use absolute imports; avoid relative imports outside of package internals.
- Never use wildcard imports (
from module import *).
Error Handling
- Raise built-in exceptions (
ValueError,TypeError,RuntimeError) or custom subclasses — not bareException. - Use
loggingwith structured fields; do not useprintfor diagnostics.
Testing
- Use
pytest; do not mixunittestandpytestin the same project. - Name test files
test_<module>.pyand test functionstest_<behaviour>. - Use
pytest.mark.parametrizefor table-driven tests.
Dependencies & Packaging
- Pin dependencies in
requirements.txtorpyproject.toml; include a lock file (pip-tools/poetry.lock). - Do not add new packages without checking for existing equivalents in the project.
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.
- 2d ago First seen · 42 lines · 0 tokens per session scan A 76a2a740712a
python is a cursor rule published in the GitHub repository sunnykgupta/AI-Helpers (70 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 358 tokens. 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 2026-08-30.
Other cursor rules, from other repositories
angular-20
This rule provides comprehensive best practices and coding standards for Angular development, focusing on modern TypeScript, standalone components, signals, and performance optimizations.
dev-standard
Apache Superset development standards and guidelines for Cursor IDE.
typescript
Changes to these high-fan-out internals can affect every message, delta, element, or rerun. Keep work in them minimal, and benchmark changes with representative stress-test apps.
coolify-ai-docs
Master reference to all Coolify AI documentation in .ai/ directory.
python_lib
Tips and guidelines specific to the development of the Streamlit Python library, not applicable to scripts and e2e tests.
specs
This directory contains product and tech specs for Streamlit features.