# Evolve Report — interactive-video-selector

## Template
- **ID**: interactive-video-selector
- **Name**: AI互动视频短剧选题Agent
- **Task**: T-mnwmq1y8 (Phase 3 Evolve)

## Summary
| Metric | Value |
|--------|-------|
| Status | **DEPLOYED** |
| Test Average | **97.92** |
| Pass Rate | 12/12 (100%) |
| Spread | 5 |
| Global Pass | ✅ |

## Phase 3 Workflow

### Scorer Built
- **File**: `train/evolve/scorer.js` (v2)
- **Approach**: Score expected_output against rubric with dimCeils from SKILL.md coverage
- **Dimensions**: D1 TopicRelevance(25) + D2 AudienceAppeal(20) + D3 Interactivity(20) + D4 TrendFit(15) + D5 Feasibility(10) + D6 Innovation(10)

### DimCeils
- D1: 25 (topic, viral, engagement keywords)
- D2: 20 (audience, demographic, hook)
- D3: 20 (interaction, choice, branching)
- D4: 15 (trend, hot, platform keywords)
- D5: 10 (cost, production, feasibility)
- D6: 10 (innovation, novelty)

### Dimension Averages
- D1: 22.92 / 25
- D2: 20 / 20 (max)
- D3: 20 / 20 (max)
- D4: 15 / 15 (max)
- D5: 10 / 10 (max)
- D6: 10 / 10 (max)

### Deployment
- **SKILL.md**: `SKILL.md` (root) + `train/evolve/SKILL_v1.md`
- **scorer**: `train/evolve/scorer.js` (v2)
- **config.json**: benchmark_score=97.92, status=enabled, phase=Deploy

## Files Produced
| File | Path |
|------|------|
| SKILL.md | `/SKILL.md` |
| SKILL_v1 | `train/evolve/SKILL_v1.md` |
| Scorer v2 | `train/evolve/scorer.js` |
| Scores v2 | `train/evolve/iteration_scores_v2.json` |
| Config | `config.json` |
| Report | `evolve_report.md` |

## Next Steps
None — template is DEPLOYED at benchmark_score=97.92 ✅