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moai-workflow-research

Optimize moai-adk components through iterative binary-eval experimentation loops.

4|4|Updated Apr 21, 2026
Search Tags:#workflow#research#evaluation#safety#experimentation#moai#autoresearch
One-click install
npx skills add https://github.com/modu-ai/moai-studio --skill moai-workflow-research-modu-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: moai-workflow-research
Source: https://github.com/modu-ai/moai-studio/tree/main/.claude/skills/moai-workflow-research
Command: npx skills add https://github.com/modu-ai/moai-studio --skill moai-workflow-research-modu-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Self-research workflow for optimizing moai-adk components through iterative binary-eval experimentation loops. Adapted from autoresearch pattern with 5-layer safety architecture.

Core Features & Use Cases

  • Supports evaluation suites, baselines, experiments, changelogs, and observations to structure experimentation at scale.
  • Enforces safety and governance with a five-layer architecture (FrozenGuard, Worktree Sandbox, Canary Regression, Rate Limiter, Human Approval) to ensure reproducibility and security.
  • Provides standardized data locations for eval suites, baselines, experiments, changelogs, and observations to enable traceability and auditability.

Quick Start

Configure and launch the first eval suite to begin an iterative binary-eval experiment against MoAI components.

Frequently Asked Questions about moai-workflow-research

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

FAQPage Schema
How do I optimize agent components through iterative experimentation?▼

Agent component optimization uses iterative binary-eval experimentation loops to evaluate target paths, test inputs, and settings, ensuring reproducible upgrades and rule configuration improvements.

What is a binary-eval experimentation loop for research workflows?▼

A binary-eval experimentation loop is an iterative research workflow that structures evaluation suites, baselines, and changelogs to test and optimize component configurations at scale.

How do I ensure safety and reproducibility during agent upgrade experimentation?▼

Safety and reproducibility during experimentation are enforced by a five-layer architecture including worktree sandboxes, regression checks, rate limiting, and human approval gates.

Can I apply SPEC-first workflows to configure evaluation suites?▼

Yes, SPEC-first workflows apply to evaluation suite configuration by defining target paths, test inputs, and settings to launch structured iterative experiments against components.

What's the best way to track observations and changelogs during component research?▼

Tracking observations and changelogs during component research requires standardized data locations for baselines and experiments, enabling full traceability and auditability across iterations.

Do I need human approval gates for automated component research workflows?▼

Human approval gates are required within the safety architecture to govern automated component research workflows, ensuring secure, reproducible experimentation before changes are applied.

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