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Evaluation framework for measuring agent performance
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Based on SOC occupation classification
Pull request lifecycle domain knowledge — branch strategy detection, PR size classification, confidence-scored review, git-aware context, PR analytics, dependency management, and split/merge/describe operations.
Production readiness audit domains, weighted scoring criteria, and check specifications for the /preflight workflow.
Application scaffolding orchestrator. Creates full-stack applications from requirements, selects tech stack, coordinates agents.
Production deployment workflows, rollback strategies, and CI/CD best practices.
Internationalization and localization patterns for multi-language applications
Mobile UI/UX patterns for iOS and Android. Touch-first, platform-respectful design with React Native/Expo focus.
| name | eval-harness |
| description | Evaluation framework for measuring agent performance |
| triggers | ["manual"] |
Purpose: Measure and improve agent performance through structured evaluation
This skill provides a framework for evaluating agent performance across key dimensions.
| Metric | Target |
|---|---|
| First-time success rate | >80% |
| Iterations to solution | <3 |
| Test coverage | >80% |
| Build success | 100% |
# Evaluation Report
## Session: [ID]
## Task: [Description]
### Metrics
| Dimension | Score | Notes |
| :--------- | :---- | :------------------ |
| Accuracy | 9/10 | Minor fix needed |
| Efficiency | 8/10 | 2 iterations |
| Alignment | 10/10 | All constraints met |
| Quality | 9/10 | Good coverage |
### Overall: 36/40 (90%)
### Learnings
- [What went well]
- [What could improve]