empirical-run

Automate end-to-end empirical-ratchet runs with worker/redteam loop orchestration.

Updated Aug 23, 2026

Search Tags:#automation #workflow #orchestration #ai-agent #empirical

Ready to run

npx skills add https://github.com/Elijah-J/InfoScraper --skill empirical-run

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: empirical-run
Source: https://github.com/Elijah-J/InfoScraper/tree/main/.agents/skills/empirical-run
Command: npx skills add https://github.com/Elijah-J/InfoScraper --skill empirical-run

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Drive the enterprise-grade orchestration of empirical-ratchet runs, enabling teams to manage the worker/redteam loop, track state, and persist results across cycles with auditable provenance.

Core Features & Use Cases

End-to-end loop orchestration for empirical runs, including preflight validation, decision-making for question selection, worker round dispatch, redteam evaluation, and verdict handling.
Robust state management and trajectory logging, ensuring reproducible runs and clear audit trails in state.json, questions.jsonl, truth_ledger.jsonl, and last_redteam.md.
Pause/resume support and guarded commit flow to safely manage long-running experiments and natural-ceiling pauses.

Quick Start

Start the empirical run by invoking /empirical-run <slug> to initiate the worker/redteam loop.

Frequently Asked Questions about empirical-run

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

FAQPage Schema

How do I orchestrate an empirical run loop end-to-end?▼

To orchestrate an empirical run loop end-to-end, you can automate the worker and redteam cycle through structured phases including preflight validation, question selection, dispatch, evaluation, and verdict handling. The process enforces strict state management and durable updates.

How does state management work during empirical run orchestration?▼

State management during empirical run orchestration works by persisting durable state updates and log trails across cycles in files like state.json, questions.jsonl, truth_ledger.jsonl, and last_redteam.md to ensure reproducible and auditable runs.

Can I pause and resume long-running empirical experiments?▼

Yes, you can pause and resume long-running empirical experiments. The orchestration supports gated pausing and a guarded commit flow to safely manage natural-ceiling pauses and preserve durable state across cycles without losing progress.

What is the worker redteam loop in empirical run automation?▼

The worker redteam loop in empirical run automation is a structured cycle that drives preflight validation, question selection, worker round dispatch, redteam evaluation, and verdict handling to ensure reproducible and auditable experiment trajectories.

How do I start an empirical run using a slug identifier?▼

You start an empirical run by invoking the command with your specific slug identifier. This initiates the worker and redteam loop, triggering preflight validation before automatically driving the orchestration cycle to completion or a natural ceiling pause.