ls-scout

Dispatch Haiku sub-agents to gather facts from files, directories, and web lookups.

Updated Aug 5, 2026
One-click install
npx skills add https://github.com/ahostbr/liteharness --skill ls-scout
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ls-scout
Source: https://github.com/ahostbr/liteharness/tree/main/liteharness/catalog/skills/ls-scout
Command: npx skills add https://github.com/ahostbr/liteharness --skill ls-scout

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

ls-scout offloads routine exploration and factual lookups to a cheaper Haiku sub-agent so you can focus on synthesis, decisions, and actions.

Core Features & Use Cases

  • Proactive, read-only scouting: Dispatches Haiku sub-agents for file reading, directory listing, web searches, and document summaries, without you explicitly asking.
  • Research-first context gathering: Returns structured findings (e.g., file paths, function names, mechanisms) to support your next steps.
  • Parallel scouting: Spawns multiple scouts concurrently when there are multiple independent research questions.

Quick Start

Ask Opus to “scout the codebase for how authentication works,” and it will dispatch a Haiku research sub-agent to gather the relevant evidence for you to synthesize and decide.

Frequently Asked Questions about ls-scout

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

FAQPage Schema
How do I automate codebase exploration to find specific functions and file paths?

You can automate codebase exploration by dispatching a Haiku research sub-agent to read files and list directories. It proactively gathers structured facts like file paths and function names, returning the evidence for the main agent to synthesize.

What is agent orchestration for parallel web research and document summarization?

Agent orchestration for parallel research involves spawning multiple sub-agents concurrently to handle independent research questions. This allows simultaneous web lookups, file reading, and document summarization to gather facts efficiently.

Can I use a read-only sub-agent to gather facts before making codebase decisions?

Yes, you can dispatch a read-only Haiku sub-agent to gather facts before making decisions. It performs scouting tasks like listing directories and reading files, returning the findings to the main agent to synthesize while keeping decision-making centralized.

How do I scout a codebase for how a specific mechanism like authentication works?

To scout a codebase for how a mechanism works, you provide a clear research question with sufficient context. A Haiku sub-agent then investigates the files and directories, returning structured findings on the mechanism for you to synthesize.

Does dispatching Haiku sub-agents for codebase exploration require explicit requests for each task?

No, dispatching Haiku sub-agents for codebase exploration does not require explicit requests for each task. The agent proactively initiates read-only scouting, file reading, and document summarization to gather necessary context automatically.

What are the limitations of using a read-only research sub-agent for factual investigation?

The limitation of a read-only research sub-agent is that it cannot execute code or modify files. It requires clear research questions and sufficient context to function, returning findings for the main agent to synthesize rather than making decisions itself.