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
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
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
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
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
- Identify criteria: What aspects matter for your domain?
- Assign weights: Which criteria are most important? (sum to 1.0)
- Create scoring guides: What does each score range mean?
- Set thresholds: What total scores trigger which decisions?
Example: Code Review Evaluation
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
**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
# 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