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.
npx skills add ludo-technologies/pyscn --skill health-checkgit 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/skills/ludo-technologies/pyscn/health-check)<a href="https://agentmods.dev/skills/ludo-technologies/pyscn/health-check"><img src="https://agentmods.dev/badge/skills/ludo-technologies/pyscn/health-check/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/skills/ludo-technologies/pyscn/health-check"><img src="https://agentmods.dev/badge/skills/ludo-technologies/pyscn/health-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 11 uvx/uv tool run commands without ==version create a rug-pull risk.Fix: Pin the version: uvx package-name==1.2.3
- medium MCP Rug Pull · line 20 uvx/uv tool run commands without ==version create a rug-pull risk.Fix: Pin the version: uvx package-name==1.2.3
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00049 | $0.00419 |
| Opus 5.5 | $0.00020 | $0.00168 |
| Sonnet 5.5 | $0.00010 | $0.00084 |
| Haiku 4.5 | $0.00005 | $0.00042 |
Grade A, and why
health-check 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 2mo 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
Python Code Health Check with pyscn
Run the pyscn CLI to give a quick, quantified picture of code quality. No install needed:
uvx pyscn@latest analyze <path>
The summary output includes a health score (0-100), a letter grade (A-F), and per-category metrics.
Commands
| User Request | Command |
|---|---|
| "How healthy is this code?" | uvx pyscn@latest analyze <path> |
| "Give me a quality overview" | Same command; walk through the category breakdown |
| "Did my refactoring improve quality?" | Run before and after, compare scores |
For machine-readable detail add --json. Report files are NOT written to stdout. They go to .pyscn/reports/ under the current working directory and the path is printed on completion; read that file.
Interpreting Results
- Score 0-100 with letter grade; category breakdowns cover complexity, dead code, duplication, coupling (CBO), cohesion (LCOM), dependencies, and architecture.
- Lead with the grade and the weakest categories, then name the top offenders (files/functions) driving them.
- For deeper follow-up, hand off to the focused skills: refactoring targets →
refactoring, module structure →architecture-review.
Always explain the score in plain terms and suggest the highest-impact next step.
MCP Alternative
If the pyscn-mcp MCP server is connected, you can use its tools instead of the CLI: get_health_score (score + grade) or analyze_code (output_mode: "summary" gives the health score plus high-level metrics per category). Results are returned inline with no report files.
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.
- 2mo ago First seen · 37 lines · 49 tokens per session scan A a55a96cd62de
health-check is a skill published in the GitHub repository ludo-technologies/pyscn (1,099 stars, last pushed 2d ago), licensed MIT. It adds 49 tokens to every session and 419 once invoked, about $0.0002 per session on Opus 5.5. 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.
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python-code-quality
Code quality checks, linting, formatting, and type checking commands for the Agent Framework Python codebase. Use this when running checks, fixing lint errors, or troubleshooting CI failures.
plugin-architecture-patterns
Change plugin traits, typed registries, lifecycle or Alef Python bridges.