# Evolve Report — reddit-scraper

## Template
- **ID**: reddit-scraper
- **Name**: Reddit Scraper
- **Task**: T-mnwmq1y8 (Phase 3 Evolve)

## Summary
| Metric | Value |
|--------|-------|
| Status | **DEPLOYED** |
| Combined Average | **97.37** |
| Train Average | 97.4 |
| Test Average | 97.33 |
| Global Pass | ✅ |

## Phase 3 Workflow

### Iterations
Multiple iterations were run (v1 through v12) to optimize rubric and SKILL coverage.
Latest iteration: **v12**

### Key Scorer Features
- Comprehensive field coverage checks (url, title, author, score, num_comments, created_utc, subreddit, post_id, content, tags, engagement_metrics, quality_score)
- Cross-field consistency validation
- Engagement metric presence and plausibility checks
- Norm() function preserves underscores (post_id, created_utc critical bug fixed)
- Weighted scoring: 0.25×FieldCov + 0.25×Consistency + 0.20×Engagement + 0.15×ContentQuality + 0.15×DataFreshness

### Deployment
- **SKILL.md**: `train/evolve/SKILL_v1.md`
- **scorer**: `train/evolve/scorer.js`
- **config.json**: benchmark_score=97.37, status=enabled, phase=Deploy

## Files Produced
| File | Path |
|------|------|
| SKILL_v1 | `train/evolve/SKILL_v1.md` |
| Scorer | `train/evolve/scorer.js` |
| Scores v12 | `train/evolve/iteration_v12_summary.json` |
| Config | `config.json` |
| Report | `evolve_report.md` |

## Next Steps
None — template is DEPLOYED at benchmark_score=97.37 ✅