ludo-technologies/pyscn/health-check
Claude Code and agent skill by ludo-technologies/pyscn
- community
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-checkSKILL.md
Python Code Health Check with pyscn
Run the pyscn CLI to give a quick, quantified picture of code quality. No install needed:
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.
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
- SKILL.md in the repositoryChecking.claude-plugin/pyscn-mcp/skills/health-check/SKILL.md
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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