菜单
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.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| 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. |
Run the pyscn CLI to locate concrete refactoring targets. No install needed: uvx pyscn@latest <command>.
| 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> |
--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.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.
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.
Analyze Python module architecture using pyscn - class coupling (CBO), cohesion (LCOM), dependency cycles, and module communities. Use when user asks about architecture, module structure, coupling, circular dependencies, or which files to review or change together.
Run the pyscn command-line tool for Python code quality analysis - CI/CD quality gates, HTML/JSON/CSV reports, full analysis runs, and project configuration. Use when user wants a CI check, a shareable report file, or to configure pyscn for a project.
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.