One-click install
npx skills add https://github.com/shayne-snap/oh-my-antigravity --skill autoresearch-shayne-snap
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: autoresearch
Source: https://github.com/shayne-snap/oh-my-antigravity/tree/main/plugin/skills/autoresearch
Command: npx skills add https://github.com/shayne-snap/oh-my-antigravity --skill autoresearch-shayne-snap

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Autoresearch reduces wasted turns in open-ended research by enforcing an explicit completion gate that requires measurable validator evidence or architect approval plus an output artifact.

Core Features & Use Cases

  • Validator-gated loop: Keeps iterating until a required completion artifact passes a validator regime rather than stopping on model self-claims or incidental hooks.
  • Two validation modes: Supports either a mission-validator-script that writes a passing result JSON, or a prompt-architect-artifact that includes an architect verdict plus an output artifact path.
  • Stateful artifact contract: Persists mode selection, validator inputs, and completion artifact paths in .omagy/state/autoresearch-state.json so the workflow survives across turns.

Quick Start

Start a validator-gated run by issuing an omagy autoresearch start command with your mission task, chosen validation mode, and the required completion artifact path so the loop can continue until the artifact contract is satisfied.

Frequently Asked Questions about autoresearch

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

FAQPage Schema
How do I stop AI research agents from ending tasks prematurely based on unreliable done signals?

To stop unreliable self-claims in research automation, you enforce an explicit completion gate requiring measurable validator evidence or architect approval plus a concrete output artifact before the loop terminates.

What is artifact-gated completion for iterative research workflows?

Artifact-gated completion is a validation mechanism that keeps iterative research loops running until a required output artifact passes a validator regime, ensuring progress is repeatable and reviewable across turns.

How do I set up a validator-gated research loop with persistent state?

Start a validator-gated run by issuing a start command with your mission task, chosen validation mode, and required completion artifact path, which persists state inputs in a JSON file to survive across turns.

Does mission-driven research automation support different validation modes for completion?

Mission-driven research automation supports exactly two validation modes: a mission-validator-script writing passing result JSON, or a prompt-architect-artifact including an architect verdict and output artifact path.

Do I need persisted state files for stateful research workflows across multiple turns?

Yes, stateful research workflows require persisted state files to store mode selection, validator inputs, and completion artifact paths in JSON format so the process survives across multiple turns.

When should I not use strict artifact gating for engineering discovery workflows?

Strict artifact gating is not suited for open-ended engineering discovery workflows lacking a concrete mission-validation contract or measurable output artifacts, as it requires strict completion criteria to function properly.