Agent Skills
› ludo-technologies/pyscn
› refactoring
refactoring
GitHub利用pyscn工具分析Python代码，定位重复、高复杂度及死代码等重构目标，提供优先级建议与改进验证。
Trigger Scenarios
询问重构策略
查找重复代码
识别复杂度热点
清理死代码
Install
npx skills add ludo-technologies/pyscn --skill refactoring -g -y
SKILL.md
Frontmatter
{
"name": "refactoring",
"description": "Find refactoring targets in Python code using pyscn - duplicate code (clones), overly complex functions, and dead code. Use when user asks about refactoring, code duplication, complexity hotspots, unreachable code, or cleaning up a codebase."
}
Python Refactoring Analysis with pyscn
Run the pyscn CLI to locate concrete refactoring targets. No install needed: uvx pyscn@latest <command>.
Commands
| User Request | Command |
|---|---|
| "Find complex functions" | uvx pyscn@latest analyze --select complexity <path> |
| "Find duplicate code" | uvx pyscn@latest analyze --select clones <path> |
| "Find dead code" | uvx pyscn@latest analyze --select deadcode <path> |
| "What should I refactor first?" | uvx pyscn@latest analyze --select complexity,deadcode,clones <path> |
Key Flags
--min-complexity <n>: minimum complexity to report (default: 5). Risk levels: Low (<10), Medium (10-20), High (>20)--clone-threshold <0.0-1.0>: minimum similarity for clone detection (default: 0.65)--min-severity <critical|warning|info>: dead code severity floor (default: warning). Critical means code after return/break/continue/raise that can never execute.--json: write a detailed report with line-level findings. Report files are NOT written to stdout; they go to.pyscn/reports/and the path is printed on completion.
Prioritizing Findings
- Critical dead code: safe deletions, do these first.
- High-complexity functions (>20): extract functions, flatten conditionals.
- Clone groups spanning multiple files: extract shared helpers; clones within one file are usually quicker wins.
When suggesting a refactor, cite the specific function names, files, and line ranges from the results, and re-run the same command afterward to confirm the improvement.
MCP Alternative
If the pyscn-mcp MCP server is connected, you can use its tools instead of the CLI: check_complexity (min_complexity), detect_clones (similarity_threshold, min_lines), find_dead_code, or analyze_code with analyses: ["complexity", "clone", "dead_code"] to run several at once. Results are returned inline with no report files.
Version History
- 88b9237 Current 2026-08-20 15:37
