autoresearch

Evaluate, record, and repeat single missions with structured JSON outputs and markdown logs.

Updated Mar 11, 2025

Search Tags:#evaluation #iteration #improvement #mission #machine-readable logging

Ready to run

npx skills add https://github.com/MohammedSaudAlsahli/dotfiles --skill autoresearch-mohammedsaudalsahli

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: autoresearch
Source: https://github.com/MohammedSaudAlsahli/dotfiles/tree/main/ai/agents-skills/autoresearch
Command: npx skills add https://github.com/MohammedSaudAlsahli/dotfiles --skill autoresearch-mohammedsaudalsahli

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Automates and improves the iteration and enhancement of missions with a structured, evaluation-driven process, offering durability and control in single-mission improvement loops.

Core Features & Use Cases

Single Mission Iteration: Automates the cycle of mission evaluation and iteration.
Durable Logging: Maintains comprehensive, human-readable decision logs.
Strict Evaluation: Implements strict evaluation constraints to ensure mission improvements adhere to contract terms.

Quick Start

Run 'autoresearch' to initiate the iterative improvement process on the current mission.

Frequently Asked Questions about autoresearch

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

FAQPage Schema

How do I automate iterative improvement for a single mission using evaluator contracts?▼

Iterative improvement for a single mission is automated by cycling through stateful evaluation and iteration loops governed by strict evaluator contracts. The process evaluates, records outcomes, and repeats within max-runtime controls to ensure continuous enhancement.

What is stateful single-mission iterative improvement and when do I need it?▼

Stateful single-mission iterative improvement is a continuous evaluation process that records mission progress and repeats enhancements based on known contracts. You need it when refining specific missions against strict requirements and durable logging.

How do I track mission improvements with machine-readable logging?▼

You track mission improvements using structured JSON evaluator outputs paired with human-readable markdown logs. These formats provide comprehensive decision tracking and machine-readable logging for monitoring iterative enhancement cycles.

Can I enforce strict evaluation constraints during mission iteration?▼

Yes, strict evaluation constraints are enforced during mission iteration to ensure improvements adhere to contract terms. The evaluator contracts validate each iteration cycle against known requirements before recording and repeating.

How do I set max-runtime control for single-mission improvement loops?▼

Max-runtime control for single-mission improvement loops is configured to limit the duration of iterative evaluation cycles. This boundary prevents runaway processes while maintaining stateful iteration and durable logging within defined limits.

Does autoresearch work without external dependencies?▼

Yes, autoresearch operates without external dependencies, relying solely on its internal scripts, references, and assets. This self-contained structure enables stateful evaluation loops and markdown logging without requiring additional packages.