mixseek-evaluator-config

Generate MixSeek evaluator and judgment TOML configuration files.

1|1|Updated Jan 16, 2026

Search Tags:#metrics #evaluation #configuration #toml #judgment #mixseek

Ready to run

npx skills add https://github.com/drillan/mixseek-plus --skill mixseek-evaluator-config

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: mixseek-evaluator-config
Source: https://github.com/drillan/mixseek-plus/tree/main/.claude/skills/mixseek-evaluator-config
Command: npx skills add https://github.com/drillan/mixseek-plus --skill mixseek-evaluator-config

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you create MixSeek evaluation and judgment configuration files without manually reasoning through metric selection, weight balance, or schema details.

Core Features & Use Cases

Evaluator Config Generation: Drafts evaluator.toml files with the right model, metrics, and weighting for scoring submissions.
Judgment Config Generation: Produces judgment.toml files that define deterministic final decision logic for comparisons and tournaments.
Validation Guidance: Explains the required TOML structure, supported metric names, and common setup pitfalls so configurations are usable on the first pass.
Use Case: A team preparing a benchmark run can use this Skill to choose relevance, coverage, and coherence metrics, assign balanced weights, and set stable evaluation parameters.

Quick Start

Ask for a MixSeek evaluation setup tailored to your task, and I will draft the evaluator and judgment configuration files you need.

Frequently Asked Questions about mixseek-evaluator-config

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I generate TOML configuration files for MixSeek evaluation workflows?▼

To generate MixSeek evaluation TOML files, define your target task and required metrics. The system drafts evaluator and judgment configurations with appropriate model selection, weight allocation, and deterministic validation parameters.

What metrics should I use for benchmarking agent submissions in TOML?▼

For benchmarking agent submissions, standard metrics include relevance, coverage, and coherence. The configuration generator applies these metric definitions and assigns balanced weights to ensure accurate scoring across research and QA tasks.

How do I set up deterministic final decision logic for tournament comparisons?▼

Deterministic final decision logic for comparisons requires a judgment.toml file. You define the evaluation parameters and standard metric definitions, and the configuration generator structures the TOML schema to enforce stable tournament outcomes.

What is the correct TOML schema structure for MixSeek evaluator configurations?▼

The correct TOML schema for MixSeek evaluator configurations requires specific supported metric names, model selection entries, and weight allocations. Validation guidance ensures the structure satisfies deterministic requirements and avoids common setup pitfalls on the first pass.

Can I customize weight allocation for different evaluation metrics in MixSeek?▼

Yes, you can customize weight allocation for evaluation metrics in MixSeek. By specifying your scoring priorities, the configuration generator assigns balanced weights across selected metrics like relevance and coherence to match your specific benchmarking context.

What are common setup pitfalls when configuring MixSeek judgment files?▼

Common setup pitfalls when configuring MixSeek judgment files involve schema constraint violations and unsupported metric names. The configuration generator provides validation guidance to ensure TOML structure correctness and deterministic final decision logic for comparisons.