name: llm-evaluation author: JM Labs (Javier Montaño) version: 1.0.0 description: > Model output quality assessment, hallucination detection, benchmark suites. [EXPLICIT] Trigger: "llm evaluation" allowed-tools:

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Llm Evaluation

"Method over hacks."

TL;DR

Model output quality assessment, hallucination detection, benchmark suites. [EXPLICIT]

Procedure

Step 1: Discover

• Gather context and requirements

Step 2: Analyze

• Evaluate options per Constitution XIII/XIV

Step 3: Execute

• Implement with evidence tags

Step 4: Validate

• Verify quality criteria met

Quality Criteria

• Evidence tags applied
• Constitution-compliant
• Actionable output

Usage

Example invocations:

• "/llm-evaluation" — Run the full llm evaluation workflow
• "llm evaluation on this project" — Apply to current context

Assumptions & Limits

• Assumes access to project artifacts (code, docs, configs) [EXPLICIT]
• Requires English-language output unless otherwise specified [EXPLICIT]
• Does not replace domain expert judgment for final decisions [EXPLICIT]

Edge Cases