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SKILL verified MIT Self-run

Cursor Skills Python

skill-agent-kit-startup-agent-kit-cursor-skills-python · by agent-kit-startup

CURSOR-SKILLS rules for Python (Django, Flask, FastAPI, Data Science). PEP, venv, tests.

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Install

$ agentstack add skill-agent-kit-startup-agent-kit-cursor-skills-python

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets Used
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
11d ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

CURSOR-SKILLS - Python

Source: cursor-skills/python

CURSOR setup

  • Python, Pylance, Python Debugger, Docstring Generator, Python Indent, Test Explorer, Jupyter (if applicable).

Typical structure

project/
├── src/   ├── tests/   ├── docs/
├── requirements.txt   ├── requirements-dev.txt   ├── pyproject.toml   └── .env

Required standards

  • PEP: 8 (style), 257 (docstrings), 484 (type hints), 526 (annotations).
  • Environment: always venv or conda; requirements.txt; pip-tools; separate dev deps.
  • Tools: Black, isort, flake8, mypy, pytest.

By framework

  • Django: MVT, ORM, admin, forms; python.formatting.provider: "black".
  • Flask: blueprints, app factory; flake8, Black.
  • FastAPI: DI, Pydantic, OpenAPI; async; Pylint, Black.

Data Science

  • Jupyter: clear cells, validation, versioning, clean before sharing.
  • Pandas, NumPy, matplotlib/seaborn; scikit-learn; model validation and documentation.

Code and documentation

  • Docstrings and type hints on functions/classes; comments on complex logic; README and API docs.

Security and DB

  • Validate inputs; OWASP; hashing; HTTPS. ORM (Django/SQLAlchemy); avoid N+1; transactions.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.