用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/supremeb/Oniva-ai --skill analyze-code命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
正在显示 SKILL.md
| name | analyze_code |
| description | Analyze Python code for quality, complexity, and structural metrics. |
| type | tool |
| category | code |
| tool | {"module":"app.skills.analyze_code.tool","function":"analyze_code","async":true} |
| metadata | {"author":"oniva","version":"1.0.0"} |
| audit-level | basic |
Analyze Python code quality and structure.
result = await analyze_code(code="def hello(): return 'world'")
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
code | string | Yes | - | Python code to analyze |
{
"valid": true,
"lines": 10,
"functions": 2,
"function_names": ["main", "helper"],
"classes": 1,
"class_names": ["MyClass"],
"imports": 3,
"complexity": 5,
"complexity_rating": "low"
}
code = '''
def factorial(n):
if n <= 1:
return 1
return n * factorial(n - 1)
'''
result = await analyze_code(code=code)
print(f"Complexity: {result['complexity_rating']}")