score-quality
SkillDev toolsScore code migration quality based on coverage and correctness. Evaluates how well target code represents source functionality.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the score-quality skill
What this skill tells your AI
The instructions your AI receives, as published by openhands/extensions in plugins/migration-scoring/skills/score-quality/SKILL.md and read by ahel’s review.
Evaluate migration quality by scoring coverage and correctness for each source-target file pair.
Prerequisite: A migration mapping file must exist (see migration-mapping skill).
See references/scoring-criteria.md for the 1-5 scoring scales.
Output Format
Save scores as a JSON file:
{
"source_file_1.cbl": {
"coverage": 4,
"correctness": 5,
"justification": "All calculation logic migrated. Tax rounding matches COBOL behavior."
}
}
Evaluation Process
For each source file and its mapped target files:
-
Identify key functionality in the source
- Business logic, data operations, control flow, error handling
-
Check coverage in the target
- Is each function/paragraph represented?
- Are all data fields and code paths covered?
-
Verify correctness
- Do calculations produce the same results?
- Are edge cases handled the same way?
-
Document justification
- Specific functionality present/missing
- Known discrepancies
Incremental Scoring
If a score file already exists, update it with new scores rather than replacing it entirely.
Signals
- GitHub stars
- 143
- Forks
- 83
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
score-quality- Source
- github.com/openhands/extensions