Skip to main content

migration-scoring

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

Informations de source

Dépôt
OpenHands/extensions
Dernière activité de la source
1 juillet 2026 à 22:49
Langue détectée de SKILL.md
anglais
Étoiles
167
Forks
114

Options d'installation

Le prompt qui vérifie d'abord la source est sélectionné par défaut. Vous pouvez passer à une commande directe ou télécharger une copie locale.

Vérifiez les fichiers source

Lisez SKILL.md et les fichiers associés affichés par SkillsMP avant de décider de l'installer.

Affichage de SKILL.md

SKILL.md
Instructions source · Aperçu en lecture seule
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
Voir sur GitHub