simmer-judge

Score candidate artifacts against user-defined criteria and generate an ASI.

14|3|Updated Apr 2, 2026
One-click install
npx skills add https://github.com/2389-research/simmer --skill simmer-judge
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: simmer-judge
Source: https://github.com/2389-research/simmer/tree/main/skills/simmer-judge
Command: npx skills add https://github.com/2389-research/simmer --skill simmer-judge

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a structured judge that scores a candidate artifact against user-defined criteria on a 1-10 scale and outputs an actionable ASI to steer the next generator round.

Core Features & Use Cases

  • Judge-only: evaluate a seed/artifact against defined rubrics with immediate ASI.
  • Runnable evaluator: assimilate evaluator outputs (tests, metrics) into the scoring process.
  • Hybrid evaluation: combine judge results with external signals to guide iteration across artifacts (seed to best candidate).

Quick Start

Provide a candidate artifact and 2-3 criteria; the judge will score the artifact on a 1-10 scale and emit an ASI for the next generator round.

Frequently Asked Questions about simmer-judge

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I score a candidate artifact against custom evaluation criteria?

Scoring a candidate artifact against custom criteria requires providing the artifact and 2-3 defined rubrics. The judge applies a 1-10 scale and emits an actionable ASI to steer the next generator round.

What is an actionable ASI when evaluating generated artifacts?

An actionable ASI (Actionable Steering Instruction) provides concrete feedback after artifact evaluation. It uses criteria scores and iteration context to guide the next generator round in a hybrid evaluation workflow.

Can I incorporate external test metrics into the artifact scoring process?

Yes, you can incorporate external test metrics into artifact scoring using runnable evaluator mode. This hybrid evaluation assimilates evaluator outputs alongside judge results to guide iteration across artifacts.

How do I evaluate a seed artifact and generate feedback for the next iteration?

Evaluating a seed artifact and generating iteration feedback uses judge-only mode. It scores the seed against defined rubrics on a 1-10 scale and outputs a concrete ASI for the subsequent generator round.

Does the judge require iteration context like seed calibration to score artifacts?

Yes, the judge requires iteration context including iteration number and seed calibration. This context is necessary to properly reason about artifact scores and generate the ASI for the next generator round.