autoresearch

Name: autoresearch
Availability: InStock
Author: zhaozengqing4364-bit

Automate persistent research workflows with configurable validation modes.

Updated Jan 16, 2026

Search Tags:#automation #workflow #research #validation #automation-loop

Ready to run

npx skills add https://github.com/zhaozengqing4364-bit/sales-training-qoder --skill autoresearch-zhaozengqing4364-bit

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: autoresearch
Source: https://github.com/zhaozengqing4364-bit/sales-training-qoder/tree/main/.codex/skills/autoresearch
Command: npx skills add https://github.com/zhaozengqing4364-bit/sales-training-qoder --skill autoresearch-zhaozengqing4364-bit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Automated, stateful research workflows require continuous monitoring and validation, which this Skill streamlines by providing a persistent and configurable research loop with built-in validation modes.

Core Features & Use Cases

Stateful research automation: Maintains a continuous research process that persists across sessions.
Validation mode selection: Allows choosing between script-based or prompt-based validation regimes at initialization.
Use Case: Researchers can run ongoing data validation or model experiments, where the system keeps nudging until explicit validation criteria are met, facilitating iterative development and testing.

Quick Start

Configure the autoresearch skill to run a persistent research loop that automatically validates outputs until success conditions are met.

Frequently Asked Questions about autoresearch

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

FAQPage Schema

How do I automate a persistent research loop with validation?▼

You can automate a persistent research loop by configuring a stateful workflow that maintains continuous processing across sessions and applies validation modes to check outputs until success criteria are met.

What is stateful research automation?▼

Stateful research automation is a process that maintains a continuous research workflow persisting across sessions, enabling iterative model evaluation and data validation without losing progress.

Can I use script-based and prompt-based validation modes for research workflows?▼

Yes, research workflows support selecting between script-based and prompt-based validation modes at initialization, allowing you to verify artifacts using your preferred validation regime.

How does artifact-based completion work in automated research loops?▼

Artifact-based completion in automated research loops works by continuously nudging the process until explicit validation criteria are met, finalizing the workflow only when generated artifacts pass validation.

When do I need configurable validation control for iterative model evaluation?▼

You need configurable validation control for iterative model evaluation when running ongoing data validation or model experiments that require explicit success conditions and continuous nudging before completion.

What are the limitations of stateful research automation loops?▼

Stateful research automation loops require explicit validation criteria to terminate, meaning workflows will continuously nudge indefinitely if success conditions are poorly defined or unreachable.