benchclaw-stage4-invalid-item-screening

Official

Efficiently filter out invalid items in grey-batch validation.

AuthorEurecaMoment
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill addresses the issue of identifying and removing invalid items from grey-batch validation, ensuring data integrity and quality in model evaluation processes.

Core Features & Use Cases

  • Invalid Item Detection: Identifies media missing, answer missing, option errors, scoring contract missing, and evidence traceability issues.
  • Data Integrity: Ensures that only valid items are processed in model evaluation or full-scale synthesis.
  • Use Case: Before conducting model evaluations or full-scale synthesis, use this Skill to filter out any items that may affect the accuracy and reliability of the results.

Quick Start

Run the benchclaw-stage4-invalid-item-screening skill to screen invalid items from the grey-batch validation data.

Dependency Matrix

Required Modules

None required

Components

scripts

💻 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: benchclaw-stage4-invalid-item-screening
Download link: https://github.com/EurecaMoment/BenchClaw/archive/main.zip#benchclaw-stage4-invalid-item-screening

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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