benchclaw-stage4-grey-batch-validation

Automate grey-batch validation for BenchClaw benchmarks with CDM/IRT analysis.

Updated May 7, 2026
One-click install
npx skills add https://github.com/EurecaMoment/BenchClaw --skill benchclaw-stage4-grey-batch-validation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: benchclaw-stage4-grey-batch-validation
Source: https://github.com/EurecaMoment/BenchClaw/tree/main/BenchClaw/skills/benchmark-stage4-build/skills/grey-batch-validation
Command: npx skills add https://github.com/EurecaMoment/BenchClaw --skill benchclaw-stage4-grey-batch-validation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires opencode, benchclaw, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the grey-batch validation process for BenchClaw benchmarks, allowing users to efficiently evaluate the quality and reliability of their benchmark items.

Core Features & Use Cases

  • Small-Batch Evaluation: Automates the evaluation of small batches of benchmark items, including synthesis, screening, and analysis.
  • CDM/IRT Analysis: Performs CDM/IRT analysis on the evaluated items to estimate difficulty, discrimination, and capability mastery.
  • Use Case: When you have a set of grey-batch items that need to be validated before full synthesis, this Skill can help you ensure their quality and prepare them for further analysis.

Quick Start

Run the benchclaw-stage4-grey-batch-validation skill to evaluate the grey-batch items for the current benchmark.

Frequently Asked Questions about benchclaw-stage4-grey-batch-validation

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

FAQPage Schema
How do I automate grey-batch validation for benchmark items?

Grey-batch validation for benchmark items is automated by running the benchclaw-stage4-grey-batch-validation skill to synthesize, screen, and evaluate small batches before full synthesis. It performs quality checks and generates diagnostics reports to ensure benchmark reliability.

What is CDM/IRT analysis and when do I need it for benchmark quality assurance?

CDM/IRT analysis estimates item difficulty, discrimination, and capability mastery for benchmark quality assurance. You need it when evaluating grey-batch items to ensure their quality and prepare them for further analysis before full synthesis.

Do I need Opencode and BenchClaw to run CDM/IRT analysis on benchmark items?

Yes, you need the Opencode platform and BenchClaw-specific libraries to run CDM/IRT analysis and validate benchmark items. These dependencies provide the required environment for synthesis, screening, and automated quality checks.

What's the best way to evaluate small batches of benchmark items before full synthesis?

The best way to evaluate small batches of benchmark items is using automated grey-batch validation, which handles synthesis, screening, and CDM/IRT analysis. This process performs quality checks and produces diagnostics reports to prepare items for further analysis.

Why does benchmark quality assurance require screening and synthesis before analysis?

Benchmark quality assurance requires screening and synthesis before analysis to filter and prepare grey-batch items. This ensures that only valid, high-quality items undergo CDM/IRT analysis, resulting in accurate difficulty and capability mastery estimations.

Can I use benchclaw-stage4-grey-batch-validation for large-scale benchmark evaluation?

benchclaw-stage4-grey-batch-validation is designed for small-batch evaluation of benchmark items, including synthesis, screening, and CDM/IRT analysis. For large-scale evaluation, full synthesis processes should follow after validating these smaller grey batches.