/bernstein-quality

name: bernstein-quality
description: >
  Show quality metrics for Bernstein runs - success rates per model,
  lint/test pass rates, completion time distributions. Use when the user
  asks about quality, reliability, which model performs best, or pass rates.

Bernstein Quality Metrics

Analyze quality and reliability of agent-generated code.

When to Use

• User asks "how reliable are the agents?" or "which model is best?"
• User wants success rates, pass rates, or completion time stats
• User asks about test failures or lint issues across models
• User says "show me quality metrics"

Instructions

1. Run `scripts/quality.sh metrics` for overall quality metrics. 2. Run `scripts/quality.sh pass-rates` for lint/typecheck/test pass rates by model. 3. Run `scripts/quality.sh times` for completion time distributions.

4. Present a quality dashboard:

## Quality Dashboard

### Success Rate by Model
| Model | Tasks | Success | Fail | Rate |
|-------|-------|---------|------|------|
| claude-sonnet-4 | 24 | 22 | 2 | 91.7% |
| gpt-4.1 | 12 | 10 | 2 | 83.3% |

### Pass Rates
| Check | Overall | claude-sonnet-4 | gpt-4.1 |
|-------|---------|-----------------|---------|
| Lint | 96% | 98% | 92% |
| Type-check | 88% | 91% | 83% |
| Tests | 85% | 89% | 75% |

### Completion Times
| Percentile | Time |
|------------|------|
| p50 | 3m 20s |
| p90 | 8m 45s |
| p99 | 15m 12s |

5. Highlight any models with significantly lower pass rates. 6. Recommend model routing adjustments if one model consistently underperforms.