scout

Clarify quest framing by outlining objectives, data requirements, and evaluation criteria.

3.3k|331|Updated Sep 26, 2025
One-click install
npx skills add https://github.com/ResearAI/DeepScientist --skill scout-researai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scout
Source: https://github.com/ResearAI/DeepScientist/tree/main/src/skills/scout
Command: npx skills add https://github.com/ResearAI/DeepScientist --skill scout-researai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Scout helps teams resolve ambiguity in quests by establishing a clear task frame, evaluation contract, and neighborhood references before proceeding to baselines or ideation.

Core Features & Use Cases

  • Framing anchor to define task, data, and metrics
  • Literature and repo neighborhood mapping
  • Durable outputs like brief.md, plan.md, and scouting artifacts
  • Guidance on when to escalate to baseline or idea stages

Quick Start

Summarize the current quest frame and produce an explicit evaluation contract and baseline shortlist.

Frequently Asked Questions about scout

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

FAQPage Schema
How do I frame a research objective when the evaluation metrics are unclear?

To frame research objectives with unclear metrics, outline the task frame, data requirements, and evaluation criteria. This generates an updated brief.md, plan.md, and scouting artifacts to resolve ambiguity.

What is the best way to scout literature for a new machine learning task?

Scouting literature involves mapping neighborhood references and repos to identify relevant prior work. This yields structured literature scouting notes and memory cards to establish baseline options.

How do I create a baseline shortlist before starting model ideation?

Creating a baseline shortlist requires identifying the task frame and evaluating neighborhood literature. This yields a structured baseline shortlist and guidance on when to escalate to idea stages.

Can I use this to resolve ambiguity in dataset splits and task framing?

Yes, resolving ambiguity in dataset splits and task framing involves clarifying the objective and evaluation criteria. It applies when the dataset split or metric contract is unclear, producing an updated plan.md.

When should I establish an evaluation contract before proceeding to baselines?

Establish an evaluation contract before baselines when the goal, dataset split, or metric contract is unclear. This provides a framing anchor defining task, data, and metrics to prevent proceeding with ambiguous objectives.