Python Support

Python language support for OpenClaw agents. Provides environment setup, dependency management, linting, testing, and best practices for Python code executio...

Security Scan

The skill's instructions, files, and requirements are consistent with a generic Python support/helper role; nothing requested or described is disproportionate to that purpose.

Purpose & Capability

Name/description (Python support) matches the SKILL.md content: environment checks, running scripts, dependency management, linting/testing guidance and a style guide. The skill does not request unrelated credentials, binaries, or config paths.

Instruction Scope

Instructions stay within Python tooling and best practices, but they explicitly recommend installing packages at runtime (pip install via subprocess). Runtime installs are expected for dependency management but allow arbitrary package code execution and network access—this is inherent to the task and should be handled cautiously. SKILL.md references additional reference files (testing-patterns.md, debugging-tips.md) that are not present in the package manifest.

Install Mechanism

Instruction-only skill with no install spec and no code files beyond documentation. Nothing is written to disk by the skill itself during installation.

Credentials

No environment variables, credentials, or config paths are requested. The skill does not require access to unrelated systems or secrets.

Persistence & Privilege

Default privileges (not always: true) and autonomous invocation allowed (platform default). The skill does not request permanent presence or system-wide changes.

Assessment

This skill appears to be what it says: a set of Python best-practice instructions and a style guide. Before using it, be aware that the guidance includes running pip install at runtime (including an example function that calls pip via subprocess). Installing packages dynamically can execute arbitrary code and access the network, so only install trusted, pinned packages, prefer using isolated virtual environments (venv/virtualenv), and consider running such operations in a sandbox. Also note two referenced docs (testing-patterns.md, debugging-tips.md) are missing from the package — verify the full documentation if you rely on those sections.

Quick Start

Use this skill for all Python-related operations in OpenClaw.

Environment Check

Verify Python environment:

python3 --version
pip3 --list
which python3

Running Scripts

Always use absolute paths and specify Python interpreter explicitly:

python3 /path/to/script.py

Dependency Management

Install packages safely:

pip3 install --quiet package-name

For one-off scripts requiring dependencies, use inline installation with verification:

import subprocess
import sys

def ensure_package(package):
    try:
        __import__(package)
    except ImportError:
        subprocess.check_call([sys.executable, "-m", "pip", "install", "--quiet", package])

Best Practices

1. Shebang: Use #!/usr/bin/env python3 for executable scripts
2. Error handling: Always include try/except blocks for external operations
3. Encoding: Specify encoding="utf-8" for all file operations
4. Paths: Use pathlib.Path for cross-platform path handling
5. Output: Prefer JSON or machine-readable formats for structured output

References

• See references/style-guide.md for Python style guidelines
• See references/testing-patterns.md for testing patterns
• See references/debugging-tips.md for debugging techniques