# Multi_Agent_Python_Code_Auditor

> Multi_Agent_Python_Code_Auditor — spranavk-03-multi-agent-python-code-auditor. Use this tool when you need to analyze Python code for security vulnerabilities, quality issues, and complexity problems. It takes in Python code as input, utilizing AST parsing, Bandit, Radon, and LLM-based agents to generate a comprehensive report output in JSON format. Ideal for use in git-based development workflows, this tool helps benchmark and improve code quality across multiple Python programs.

Canonical page: https://skillsregistry.net/skills/spranavk-03-multi-agent-python-code-auditor  
JSON: https://api.skillsregistry.net/v1/skills/spranavk-03-multi-agent-python-code-auditor

## Description

Multi-Agent AI Code Auditor is a Python-based code review system that uses AST parsing, Bandit, Radon, and LLM-based agents to analyze code for security, quality, and complexity. The findings are summarized into a final report, saved as JSON, and benchmarked across multiple Python programs.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/spranavk-03/Multi_Agent_Python_Code_Auditor)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "spranavk-03-multi-agent-python-code-auditor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/spranavk-03-multi-agent-python-code-auditor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/spranavk-03-multi-agent-python-code-auditor/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt