consult-empirical

Analyzes project experiment history to answer questions about prior results and patterns.

Updated Feb 24, 2026

Search Tags:#history #experiments #decision-tracking #consult #research-log #run-card

Ready to run

npx skills add https://github.com/ScavieFae/autonomous-world-model --skill consult-empirical

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: consult-empirical
Source: https://github.com/ScavieFae/autonomous-world-model/tree/main/.claude/skills/consult-empirical
Command: npx skills add https://github.com/ScavieFae/autonomous-world-model --skill consult-empirical

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Review project experiment history to answer questions about what's been tried, what worked, hit rates, and empirical patterns. Use when proposing a new experiment direction and you need to check whether it's been explored, or when evaluating results against prior findings.

Core Features & Use Cases

Read prioritized knowledge sources, including run cards, decisions, RESEARCH-LOG, and the experiments index.
Cite experiment records precisely by IDs and summarize outcomes with hit rates and patterns.
Identify open questions and considerations by comparing past results to current proposals.

Quick Start

Ask a precise question about experiment history and the skill will search its knowledge base to return relevant experiment IDs and results.

Frequently Asked Questions about consult-empirical

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

FAQPage Schema

How do I search experiment history to see what has been tried in a project?▼

You can search experiment history by querying the skill, which reads run cards, decisions, RESEARCH-LOG, and the experiments index to return precise experiment IDs and observed outcomes for your project.

What is the best way to compare hit rates across past experiments?▼

The best way to compare hit rates is by applying this skill to evaluate past experiments; it extracts statuses and RC values from YAML frontmatter to summarize outcomes and identify empirical patterns across records.

Can I check if a research direction has already been explored in my decision-tracking logs?▼

Yes, you can check if a research direction was explored by querying the skill. It searches decision-tracking logs and run cards to cite concrete experiment IDs, helping you evaluate current proposals against prior findings.

Does this experiment analysis tool work with YAML frontmatter and narrative notes?▼

Yes, this experiment analysis tool reads YAML frontmatter and narrative notes from docs/experiments and related sources to extract statuses, RC values, and conclusions for synthesizing empirical findings and answering questions.

When should I use an experiment history synthesis tool for research logs?▼

You should use an experiment history synthesis tool when proposing a new experiment direction and needing to check whether it has been explored, or when evaluating current results against prior findings and empirical patterns.