ludo-technologies/pyscn/health-check

Claude Code and agent skill by ludo-technologies/pyscn

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Checking that the SKILL.md file is still in the repository.

Get an overall Python code quality health score using pyscn. Use when user asks how healthy or good the code is, wants a quality overview, a grade, a summary of technical debt, or a before/after quality comparison.

Install

npx vskill@latest install ludo-technologies/pyscn/health-check

SKILL.md

Python Code Health Check with pyscn

Run the pyscn CLI to give a quick, quantified picture of code quality. No install needed:

bash
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 RequestCommand
"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.

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
1,039
Repository forks
68
7-day trend score
35

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 30 Aug 2026, a month ago.

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