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SKILL verified Apache-2.0 Self-run

Python Expert

skill-tao12345666333-amcp-python-expert · by tao12345666333

Python development best practices and advanced patterns

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Install

$ agentstack add skill-tao12345666333-amcp-python-expert

✓ 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 Used
  • Shell / process execution No
  • Environment & secrets No
  • 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

Passed review? Show it. Paste this badge into your README, it links to the public security report.

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[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-tao12345666333-amcp-python-expert)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
2mo 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

Python Expert Skill

When working with Python code, apply these advanced patterns and best practices:

Code Style

  • Follow PEP 8 guidelines
  • Use type hints for function signatures
  • Prefer f-strings for string formatting
  • Use meaningful variable and function names

Modern Python Features

  • Use dataclasses for data containers
  • Prefer pathlib over os.path
  • Use context managers for resource management
  • Leverage generators for memory efficiency
  • Use structural pattern matching (Python 3.10+)

Error Handling

  • Use specific exception types
  • Provide meaningful error messages
  • Log errors appropriately
  • Consider using Result types for expected failures

Testing

  • Write unit tests with pytest
  • Use fixtures for test setup
  • Mock external dependencies
  • Aim for high test coverage

Project Structure

project/
├── src/
│   └── package/
│       ├── __init__.py
│       └── module.py
├── tests/
│   └── test_module.py
├── pyproject.toml
└── README.md

Packaging

  • Use pyproject.toml for configuration
  • Define clear dependencies
  • Use semantic versioning

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.