pyscn is a Python code-quality analyzer that examines dead code, duplication, complexity, hotspots, architecture, dependencies, and class design, then reports which areas need attention. It is used to maintain and refactor codebases, including AI-generated code, and provides agent skills for health checks, architecture reviews, refactoring, and CI reports.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/ludo-technologies/pyscnWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/plugins/ludo-technologies/pyscn/pyscn-mcp)<a href="https://agentmods.dev/plugins/ludo-technologies/pyscn/pyscn-mcp"><img src="https://agentmods.dev/badge/plugins/ludo-technologies/pyscn/pyscn-mcp/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/plugins/ludo-technologies/pyscn/pyscn-mcp"><img src="https://agentmods.dev/badge/plugins/ludo-technologies/pyscn/pyscn-mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
pyscn-mcp scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
{
"name": "pyscn-mcp",
"description": "Python code quality analysis MCP server",
"mcpServers": {
"pyscn-mcp": {
"command": "uvx",
"args": ["pyscn-mcp"]
}
}
}
What it installs
The manifest is a name and a version. 4 skills travel with it, and installing the plugin installs all of them — 213 tokens a session between them. Each is measured on its own page, and each can be installed alone.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 11 lines scan A c77dacc8408b
pyscn-mcp is a plugin published in the GitHub repository ludo-technologies/pyscn (1,096 stars, last pushed 2d ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other plugins, from other repositories
git-pr-workflows
Git workflow automation, pull request enhancement, and team onboarding processes.
code-review-ai
AI-powered architectural review and code quality analysis.
code-refactoring
Code cleanup, refactoring automation, and technical debt management with context restoration.
comprehensive-review
Multi-perspective code analysis covering architecture, security, and best practices.
beagle-docs
Documentation quality, generation, and improvement using Diataxis principles. Pairs with beagle-core for full workflow.
beagle-ai
Pydantic AI, LangGraph, DeepAgents, and Vercel AI SDK skills for building and reviewing AI applications.