Evaluation Framework

---
name: evaluation-framework
description: Provides weighted scoring, rubrics, and decision-threshold patterns. Use when designing quality gates, evaluation systems, or decision frameworks.
alwaysApply: false
category: infrastructure
tags:
- evaluation
- scoring
- decision-making
- metrics
- quality
dependencies: []
provides:
  infrastructure:
  - weighted-scoring
  - threshold-decisions
  - evaluation-patterns
  patterns:
  - criteria-definition
  - scoring-methodology
  - decision-logic
usage_patterns:
- quality-evaluation
- scoring-systems
- decision-frameworks
- rubric-design
complexity: beginner
model_hint: fast
estimated_tokens: 550
progressive_loading: true
modules:
- modules/scoring-patterns.md
- modules/decision-thresholds.md
- modules/evaluation-rubric.md
- modules/multi-metric-evaluation-methodology.md
- modules/quality-metrics.md
---

# Evaluation Framework

## Overview

A generic framework for weighted scoring and threshold-based decision making. Provides reusable patterns for evaluating any artifact against configurable criteria with consistent scoring methodology.

This framework abstracts the common pattern of: define criteria → assign weights → score against criteria → apply thresholds → make decisions.

## When To Use

- Implementing quality gates or evaluation rubrics
- Building scoring systems for artifacts, proposals, or submissions
- Need consistent evaluation methodology across different domains
- Want threshold-based automated decision making
- Creating assessment tools with weighted criteria

## When NOT To Use

- Simple pass/fail without scoring needs

## Core Pattern

### 1. Define Criteria

```yaml
criteria:
  - name: criterion_name
    weight: 0.30          # 30% of total score
    description: What this measures
    scoring_guide:
      90-100: Exceptional
      70-89: Strong
      50-69: Acceptable
      30-49: Weak
      0-29: Poor
```
**Verification:** Run the command with `--help` flag to verify availability.

### 2. Score Each Criterion

```python
scores = {
    "criterion_1": 85,  # Out of 100
    "criterion_2": 92,
    "criterion_3": 78,
}
```
**Verification:** Run the command with `--help` flag to verify availability.

### 3. Calculate Weighted Total

```python
total = sum(score * weights[criterion] for criterion, score in scores.items())
# Example: (85 × 0.30) + (92 × 0.40) + (78 × 0.30) = 85.5
```
**Verification:** Run the command with `--help` flag to verify availability.

### 4. Apply Decision Thresholds

```yaml
thresholds:
  80-100: Accept with priority
  60-79: Accept with conditions
  40-59: Review required
  20-39: Reject with feedback
  0-19: Reject
```
**Verification:** Run the command with `--help` flag to verify availability.

## Quick Start

### Define Your Evaluation

1. **Identify criteria**: What aspects matter for your domain?
2. **Assign weights**: Which criteria are most important? (sum to 1.0)
3. **Create scoring guides**: What does each score range mean?
4. **Set thresholds**: What total scores trigger which decisions?

### Example: Code Review Evaluation

```yaml
criteria:
  correctness: {weight: 0.40, description: Does code work as intended?}
  maintainability: {weight: 0.25, description: Is it readable?}
  performance: {weight: 0.20, description: Meets performance needs?}
  testing: {weight: 0.15, description: Tests detailed?}

thresholds:
  85-100: Approve immediately
  70-84: Approve with minor feedback
  50-69: Request changes
  0-49: Reject, major issues
```
**Verification:** Run `pytest -v` to verify tests pass.

### Evaluation Workflow

```text
**Verification:** Run the command with `--help` flag to verify availability.
1. Review artifact against each criterion
2. Assign 0-100 score for each criterion
3. Calculate: total = Σ(score × weight)
4. Compare total to thresholds
5. Take action based on threshold range
```
**Verification:** Run the command with `--help` flag to verify availability.

## Common Use Cases

**Quality Gates**: Code review, PR approval, release readiness
**Content Evaluation**: Document quality, knowledge intake, skill assessment
**Resource Allocation**: Backlog prioritization, investment decisions, triage

## Integration Pattern

```yaml
# In your skill's frontmatter
dependencies: [leyline:evaluation-framework]
```
**Verification:** Run the command with `--help` flag to verify availability.

Then customize the framework for your domain:
- Define domain-specific criteria
- Set appropriate weights for your context
- Establish meaningful thresholds
- Document what each score range means

## Detailed Resources

- **Scoring Patterns**: See `modules/scoring-patterns.md` for detailed methodology
- **Decision Thresholds**: See `modules/decision-thresholds.md` for threshold design

## Exit Criteria

- [ ] Criteria defined with clear descriptions
- [ ] Weights assigned and sum to 1.0
- [ ] Scoring guides documented for each criterion
- [ ] Thresholds mapped to specific actions
- [ ] Evaluation process documented and reproducible