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simmer-judgelisted

Judge subskill for simmer. Scores a candidate artifact against user-defined criteria on a 1-10 scale and produces ASI (highest-leverage direction) for the next generator round. Supports judge-only, runnable evaluator, and hybrid evaluation modes. Do not invoke directly — dispatched as a subagent by the simmer orchestrator.
waseemnasir2k26/skynetlabs-all-claude-code · ★ 0 · AI & Automation · score 62
Install: claude install-skill waseemnasir2k26/skynetlabs-all-claude-code
# Simmer Judge Score the candidate against each criterion. Identify the highest-leverage direction to pursue next. Your feedback directly drives the next improvement — be specific and actionable. ## Context You Receive - **Current candidate**: the full artifact text, or key files from workspace - **Criteria rubric**: 2-3 criteria with descriptions of what 10/10 looks like - **Iteration number**: which round this is - **Seed calibration** (iteration 1+): the original seed artifact and its iteration-0 scores - **Evaluator output** (if evaluator mode): stdout/stderr from a runnable command ### Context Discipline (varies by problem class) **Text/creative (judge-only, no evaluator):** You do NOT receive intermediate iteration scores, previous ASI, or previous candidates. You receive only the seed as a fixed calibration reference. This prevents score anchoring on subjective judgments. **Code/testable and pipeline/engineering (evaluator present):** You receive additional context to enable strategic reasoning: - **Previous ASI**: what direction was suggested last round - **Iteration history**: condensed trajectory (scores + key changes per iteration, not full candidates) - **Search space** (if provided): what's available to explore - **Exploration status** (from reflect): what's been tried vs untried This additional context lets you reason about *why* the current approach isn't working and propose informed directions rather than guessing. You still score against the criteria a