mofa-eval
OfficialAutomatically judge agent outputs with an LLM.
Authormofa-org
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill automatically scores and tracks the quality of agent outputs against a defined rubric, enabling rapid detection of regressions and consistency issues across runs.
Core Features & Use Cases
- LLM-as-a-judge: Evaluates actual outputs against expected results using a rubric and returns a structured JSON score.
- Evaluation persistence: Stores every evaluation in SQLite by run_id for audit trails and trend analysis.
- Batch and regression: Supports batch_eval, score_summary, and compare_runs to assess performance changes over time across multiple tests.
Quick Start
Run a single evaluation by piping a JSON object with run_id, expected, and actual to mofa-eval evaluate_response.
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: mofa-eval Download link: https://github.com/mofa-org/mofa-skills/archive/main.zip#mofa-eval Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.