python

核心功能：遵循安全默认规范（优先本地虚拟环境、避免全局安装等），支持Python环境检测、虚拟环境维护、依赖安装、脚本测试运行，以及常见故障排查（如模块缺失、版本冲突等）。典型场景：涉及pyproject.toml/requirements.txt的项目、虚拟环境搭建、修复Python常见错误，通过配套工具确保工作流可复现、低风险。

jvy

热度 84.45

最近更新 2026-05-11 17:31:45

分类：开发依赖：代码执行应用场景：调试排错 / 自动化脚本 / DevOps / 工作流

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add python3

Metadata

name: python
description: Use Python for practical project setup, dependency install, script execution, and environment troubleshooting with safe defaults. Use when tasks involve pyproject.toml or requirements.txt, virtual environment setup, running Python scripts/tests, packaging basics, or fixing common Python errors (interpreter mismatch, pip resolver conflicts, missing modules, build failures).
metadata: {"openclaw":{"emoji":"🐍","requires":{"bins":["python3"],"anyBins":["pip","pip3"]},"install":[{"id":"brew","kind":"brew","formula":"python","bins":["python3"],"label":"Install Python + pip (brew)"},{"id":"apt","kind":"apt","package":"python3-pip","bins":["pip3"],"label":"Install pip (apt)"}]}}

Python

Use this skill to keep Python workflows reproducible and low-risk across local/dev shells.

Safety Defaults

Prefer project-local virtual environments (.venv) over global installs.
Prefer python3 -m pip ... to avoid interpreter and pip mismatch.
Inspect dependency files before install (requirements*.txt, pyproject.toml).
Avoid executing unknown setup hooks or random install scripts without user approval.

Standard Workflow

Detect current environment:

python3 --version
python3 -c "import sys; print(sys.executable)"
{baseDir}/scripts/python_env_tool.py doctor

Create or refresh a venv:

{baseDir}/scripts/python_env_tool.py bootstrap --venv .venv --requirements requirements.txt

Install project package (if pyproject.toml exists):

{baseDir}/scripts/python_env_tool.py install --venv .venv --editable

Run tests/tools from the venv interpreter:

.venv/bin/python -m pytest -q
.venv/bin/python -m pip list --outdated

Task Recipes

# Install specific packages into venv
{baseDir}/scripts/python_env_tool.py install --venv .venv --package requests --package pydantic

# Install from requirements file
{baseDir}/scripts/python_env_tool.py install --venv .venv --requirements requirements-dev.txt

# Recreate corrupted venv from scratch
{baseDir}/scripts/python_env_tool.py bootstrap --venv .venv --recreate --requirements requirements.txt

Troubleshooting Rules

ModuleNotFoundError: verify command is run via .venv/bin/python, then reinstall deps.
externally-managed-environment: stop global install attempts; use venv.
Build failures on native deps: upgrade pip setuptools wheel, then retry.
Multiple Python versions: always print and confirm sys.executable before fixes.

Bundled Helper

Use the helper for repeatable environment setup and diagnosis:

{baseDir}/scripts/python_env_tool.py --help
{baseDir}/scripts/python_env_tool.py doctor