SkillAgentSearch skills...

python

- PEP 8; format with Black; type hints required (`mypy` optional). - Virtual env: `python -m venv venv` then `source venv/bin/activate` or `venv\\Scripts\\activate`. - Lint with `pylint`; keep max line length 100.

Install / Use

npx skills add TUAN130294/vibecodekit

Installs into whichever agent you are using.

About this skill
📐

Cursor Rules

Cursor IDE rules (v2)

Quality Score

56/100

Category

Automation

Supported Platforms

Cursor

Our assessment of python

python scores 56/100 on our quality scale, 2747th of 2,882 Automation skills we index.

Its Cursor Rules is 1.6 KB long, well organised into 10 sections with 1 code example: moderately detailed.

It has no GitHub stars yet, so there is no community track record; judge it on its content.

Substance
20/30
Structure
17/20
Description
15/15
Adoption
0/20
Freshness
5/15

Maintenance, license and trust

  • We could not determine when the repository was last updated.
  • No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
  • Its trust signals score 68/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-10-23. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

python compared with similar skills

All 4 of these similar skills score higher than python; compare them before choosing.

SkillScoreStarsUpdatedFormat
python (this skill)by TUAN130294560—Cursor Rules
Agent-Reachby Panniantong100101.0k2d agoCLAUDE.md
headroomby headroomlabs-ai10077.5ktodayCLAUDE.md
Scraplingby D4Vinci10089.2ktodayMCP Server
crawl4aiby unclecode10086.1ktodayMCP Server

Frequently asked questions

How do I install python?
Run npx skills add TUAN130294/vibecodekit. The install tabs above show the steps for each supported agent.
Which AI agents does python work with?
It is written for Cursor, as a Cursor Rules file. Other agents that read the same format can often use it too.
Is python safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It declares no license and scores 68/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is python still maintained?
We could not determine when the repository was last updated.

Python (Automation & ML) Rules

Style & Environment

  • PEP 8; format with Black; type hints required (mypy optional).
  • Virtual env: python -m venv venv then source venv/bin/activate or venv\\Scripts\\activate.
  • Lint with pylint; keep max line length 100.

Logging

  • Use stdlib logging; set module-level logger; JSON handlers when possible.
  • Include correlation/request ids if invoked from API; avoid logging secrets/PII.

Error Handling

  • Raise custom exceptions for domain errors; log with context.
  • Wrap external IO with retries/backoff; fail fast on validation errors.

Data Processing

  • Use pandas/numpy for transforms; validate schemas with pydantic or pandera.
  • Prefer vectorized operations; avoid loops over rows; chunk large datasets.
  • Handle time zones explicitly (UTC internally).

ML/Computer Vision

  • Organize: data/, models/, notebooks/, src/ml/.
  • Track experiments (e.g., MLflow); persist model metadata and versions.
  • For YOLO/OpenCV pipelines, document model version, confidence thresholds, and IO formats.

Structure Example

src/
  automation/
    sheets_sync.py
    workflow_runner.py
  ml/
    train.py
    inference.py
  utils/
    logger.py

Testing

  • pytest; fixtures for IO; use pytest-cov.
  • Mock network/FS; keep deterministic seeds for ML tests.

Performance

  • Profile hotspots; cache expensive computations; stream large files.
  • Use multiprocessing or asyncio for parallel IO-bound tasks; avoid GIL-heavy CPU loops.

Interop with Node

  • Expose via FastAPI endpoints or subprocess CLI.
  • Standardize payloads and error envelope with Node services.

Related Skills

View on GitHub
GitHub Stars0
CategoryAutomation
UpdatedNaNy ago
Forks0

Trust signals

68/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

2 medium1 low