Llm As Judge
ClawHubBuild a cost-efficient LLM evaluation ensemble with sampling, tiebreakers, and deterministic validators. Learned from 600+ production runs judging local Olla...
llm600judgebuildcost-efficientevaluationensemblesamplingtiebreakersdeterministic
# Llm As Judge Build a cost-efficient LLM evaluation ensemble with sampling, tiebreakers, and deterministic validators. Learned from 600+ production runs judging local Olla... ## Discovery Metadata - Category: `design` - Framework: `ClawHub` - Tags: `llm`, `600`, `judge`, `build`, `cost-efficient`, `evaluation`, `ensemble`, `sampling`, `tiebreakers`, `deterministic` ## Agent Execution Policy This listing is **discovery metadata only**. Canonical instructions are maintained by ClawHub. ### Before Executing Actions 1. **Fetch canonical instructions** from: https://clawhub.ai/skill/reddi-llm-judge 2. **Parse the skill page** for setup, usage, and input/output requirements. 3. **Only proceed** after successfully loading and understanding the full instructions. ### If Fetch Fails - Return `instruction_unavailable` with reason. - Do **not** attempt to infer or improvise execution steps from this metadata alone. ## Source - ClawHub listing: https://clawhub.ai/skill/reddi-llm-judge
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The $SKILL experiment is building the agent skill distribution layer. Every skill you discover through this directory is part of the experiment.