experiment-setup-exit-check

Evaluate EXPERIMENT_SETUP.md structural completeness and return PASS or NEEDS-REWORK.

Updated Apr 19, 2026
One-click install
npx skills add https://github.com/YurainSoon/research-director --skill experiment-setup-exit-check
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: experiment-setup-exit-check
Source: https://github.com/YurainSoon/research-director/tree/main/.claude/skills/experiment-setup-exit-check
Command: npx skills add https://github.com/YurainSoon/research-director --skill experiment-setup-exit-check

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Evaluates EXPERIMENT_SETUP.md for structural completeness to determine hand-off readiness to Phase 1 for the Experimental Setup Module.

Core Features & Use Cases

  • Deterministic exit-check: assesses required sections, category coverage, and verification status to produce a clear PASS or NEEDS-REWORK outcome.
  • Comprehensive criteria: covers Header, Datasets, Metrics, Baselines, LLM Configuration, Available Code, Removed Items, and Supplementary Searches, ensuring traceability.
  • Audit-ready outputs: reports "Thin coverage" and "Removed items summary" to guide subsequent actions in the pipeline.

Quick Start

Run the exit-check on EXPERIMENT_SETUP.md and return a PASS or NEEDS-REWORK with explicit failing criteria.

Frequently Asked Questions about experiment-setup-exit-check

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

FAQPage Schema
How do I verify my experiment setup is ready for hand-off to Phase 1?

An experiment setup exit-check evaluates EXPERIMENT_SETUP.md for structural completeness by verifying required sections like Datasets, Metrics, and LLM Configuration exist, returning a PASS or NEEDS-REWORK result for hand-off readiness.

What is an experiment setup audit and how does it work?

An experiment setup audit assesses EXPERIMENT_SETUP.md to determine structural completeness by verifying required sections like Datasets, Metrics, and LLM Configuration, producing a deterministic PASS or NEEDS-REWORK outcome with thin-coverage notes.

What criteria are required to pass an experiment setup exit-check?

To pass an experiment setup exit-check, your EXPERIMENT_SETUP.md must contain and verify Header, Datasets, Metrics, Baselines, LLM Configuration, Available Code, Removed Items, and Supplementary Searches sections to ensure comprehensive category coverage.

How do I check if my EXPERIMENT_SETUP.md has thin coverage before submission?

You can check for thin coverage by running an audit on your EXPERIMENT_SETUP.md. The exit-check evaluates required sections and returns a structured output with explicit thin-coverage notes and removed items summaries to guide rework.

What does a NEEDS-REWORK result mean during a Phase 0 audit?

A NEEDS-REWORK result during a Phase 0 audit means your EXPERIMENT_SETUP.md lacks structural completeness, indicating missing or unverified required sections, with structured thin-coverage notes to guide subsequent pipeline actions before hand-off.