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.