Deterministic LLM Panel
CommunityDeterministic LLM panel for reproducible reviews.
Authorronniegeraghty
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Multi-model review panels often produce non-deterministic results because reviewers paraphrase checks differently. This skill defines a deterministic pattern by using stable IDs and bucketed voting to ensure consistent scoring across runs.
Core Features & Use Cases
- Stable ID assignment for checks, enabling identical criteria to be evaluated by all reviewers.
- Canonical YAML-based labels to avoid drift between LLM echoes and human-readable text.
- Deterministic vote aggregation and error handling to preserve panel size and scoring integrity across sessions.
Quick Start
Run a multi-model review with a panel that uses stable IDs and bucketed voting to guarantee reproducible outcomes.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Deterministic LLM Panel Download link: https://github.com/ronniegeraghty/hyoka/archive/main.zip#deterministic-llm-panel Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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