judge
LLM-as-judge evaluation of subagent outputs. Debate mode resolves ties via cross-judge argument.
What this skill does
# judge Backs subagent output evaluation across all `/shannon:dispatch*` commands. ## Behavior contract ### Single-output mode (default) 1. Read subagent output + acceptance criteria from spawn context. 2. Score across dimensions: - **Completeness** — covers all acceptance criteria - **Correctness** — claims are accurate / code compiles / outputs match expected - **Quality** — style match, citation density, KISS adherence - **Iron rules** — no mocks, no test files, no fabricated evidence 3. Emit verdict: PASS | FAIL | NEEDS_REVISION. ### Debate mode (ties or stakes) 1. N candidate outputs. 2. Spawn 2-3 independent judges via `Task`. Each emits independent score. 3. If judges disagree by >1 severity tier: spawn debate round — each judge argues for its score citing evidence; meta-judge resolves. 4. Final verdict: meta-judge ranking with cited reasoning per candidate. ## When to use - Every subagent output (default sequential dispatch) - Competitive mode tie-breaking - Pre-meta-judge synthesis in parallel mode ## When NOT to use - Trivial outputs where success is binary (the executor already proved it via gate) ## Iron rules - Judge does NOT author. Judge reads + emits verdict. - No "good enough" — PASS or FAIL or NEEDS_REVISION. - Cited reasoning per dimension. No vague PASSes. - No self-judging — judge that helped produce an output cannot judge it.
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