Skip to main content

migration-scoring

Evaluate code migration quality with coverage, correctness, and style scoring. Generates executive reports with actionable recommendations.

来源信息

仓库
OpenHands/extensions
最近来源活动
2026年7月1日 22:49
检测到的 SKILL.md 语言
英语
星标
167
Forks
114

安装方式

默认使用会先检查来源的 Prompt;你也可以切换为直接命令,或下载本地副本。

检查来源文件

决定是否安装前,请先阅读 SKILL.md,以及 SkillsMP 当前展示的配套文件。

正在显示 SKILL.md

SKILL.md
来源说明 · 只读预览
name
migration-scoring
description
Evaluate code migration quality with coverage, correctness, and style scoring. Generates executive reports with actionable recommendations.
license
MIT
compatibility
Requires completed migration with source and target code, Python 3.13 with uv
triggers
["migration scoring","migration quality","migration evaluation","score migration"]
Comprehensive quality evaluation for code migration projects. ## Overview This plugin evaluates completed migrations through multiple lenses: 1. **Mapping** — Document source-to-target file relationships 2. **Quality Scoring** — Measure coverage and correctness 3. **Style Scoring** — Evaluate code quality and conventions 4. **Reporting** — Generate executive summary with recommendations ## Prerequisites - Completed migration with both source and target code present - Python 3.13 with `uv` - LLM API key (Anthropic or OpenAI) - Optional: Custom style rubric file ## Quick Start ```bash export LLM_API_KEY="your-api-key" export LLM_MODEL="anthropic/claude-3-5-sonnet-20241022" uv run python -m lc_sdk_examples.migration_scoring \ --src-path /path/to/migration/project \ --rubric-path /path/to/style_rubric.txt ``` PowerShell equivalent for the environment setup: ```powershell $env:LLM_API_KEY = "your-api-key" $env:LLM_MODEL = "anthropic/claude-3-5-sonnet-20241022" uv run python -m lc_sdk_examples.migration_scoring ` --src-path C:\path\to\migration\project ` --rubric-path C:\path\to\style_rubric.txt ``` ## Workflow Phases ### Phase 1: Migration Mapping See [../migration-mapping/SKILL.md](../migration-mapping/SKILL.md) Creates a source→target file mapping: - Identifies which target files implement each source file - Supports many-to-many relationships - Flags unmigrated source files **Output:** `migration_mapping.json` ```json { "CALC001.cbl": ["InvoiceCalculator.java", "TaxCalculator.java"], "CUST002.cbl": ["CustomerService.java"] } ``` ### Phase 2: Quality Scoring See [../score-quality/SKILL.md](../score-quality/SKILL.md) Scores each source file on: - **Coverage (1-5)**: How much functionality was migrated - **Correctness (1-5)**: How accurately behavior was preserved **Output:** `migration_score.json` ```json { "CALC001.cbl": { "coverage": 4, "correctness": 5, "justification": "All calculation logic migrated..." } } ``` ### Phase 3: Style Scoring See [../score-style/SKILL.md](../score-style/SKILL.md) Evaluates target code against style guidelines: - Naming conventions - Code organization - Error handling - Documentation - Idiomaticity **Output:** `style_score.json` ### Phase 4: Executive Report See [../migration-report/SKILL.md](../migration-report/SKILL.md) Generates a comprehensive report: - Overall health assessment - Score statistics and distribution - Risk categorization (Green/Yellow/Red) - Prioritized recommendations **Output:** `final_report.md` ## Output Structure ``` your-project/ ├── .lc-sdk/ │ ├── migration_mapping.json │ ├── migration_score.json │ ├── style_score.json │ └── final_report.md ``` ## Scoring Criteria See [../score-quality/references/scoring-criteria.md](../score-quality/references/scoring-criteria.md) for the 1-5 scoring scales. ### Risk Categories - **Green**: All scores ≥ 4 - **Yellow**: Any score 3-4 - **Red**: Any score < 3
在 GitHub 查看