Install
$ agentstack add skill-agent-kit-startup-agent-kit-cursor-skills-python ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →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.
- Author: agent-kit-startup
- Source: agent-kit-startup/agent-kit
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.