spec-test-eval
CommunityThree-layer framework to evaluate AI outputs.
Authorthimslugga
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Defines a disciplined framework to evaluate LLM and agent outputs by establishing explicit specs, binary tests, and graded evaluation. It helps teams design clear evaluation rubrics, compare models, and align judgments across evaluators.
Core Features & Use Cases
- Three-layer structure: Spec (upstream truth), Test Functions (pass/fail gates), and Evaluation Functions (quality scoring).
- Supports calibration across multiple evaluators and iterative prompt/agent improvement.
- Use cases include evaluating response quality, grading outputs, and benchmarking different agents or models.
Quick Start
Define your spec, derive tests from it, and apply evaluation functions to score outputs.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: spec-test-eval Download link: https://github.com/thimslugga/agent-skills/archive/main.zip#spec-test-eval Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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