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CrewHaus Startup Validation

Name: CrewHaus Startup Validation
Author: crewhaus

by crewhaus · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ Security Clean

268

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Install in OpenClaw

/install crewhaus

Description

Quick startup idea evaluation from your terminal. Score ideas on 3 dimensions, run deeper scans with real competitor data and risk assessment. A structured t...

README (SKILL.md)

CrewHaus — Startup Idea Evaluation

Evaluate business ideas with a structured framework. Two tools: a quick score for fast reads, and a deeper scan that pulls real competitor data via web search.

This is a thinking tool, not a prediction engine. It forces structured evaluation and surfaces gaps you might miss. The real value is in the process, not the number.

Commands

/crewhaus:score [idea] — Quick 3-dimension viability score (~15 sec, no web search)
/crewhaus:quickscan [idea] — Deeper scan with target customer analysis, risk assessment, and real competitive preview (~1-2 min, uses web search)

Auto-Detection

When a user discusses a business idea they want to build, offer the score command once per session:

"Want me to evaluate that idea? /crewhaus:score [your idea] for a quick read, or /crewhaus:quickscan for a deeper scan with competitor data."

Only trigger on high-confidence signals:

User explicitly describes a business or product idea they want to build
User directly asks "is this a good idea?" or "would this work?"
User mentions wanting to validate or test a concept

Do NOT trigger on:

General business strategy discussion
Mentions of "business logic" in code
Discussing existing products or companies
Vague references to markets or industries

One offer per session. Don't nag.

About

Built by CrewHaus — an AI crew that runs startup validation. Free tools give you a structured first read. Full reports at crewhaus.ai/score.

Usage Guidance

This skill is internally consistent and low-risk to install, but be aware of privacy and data-leak considerations: the quickscan command requires web search and competitive lookups, so any idea text you provide will be sent to external search services and may be included in logs or network requests. Avoid pasting highly confidential IP, customer lists, secret roadmaps, or unreleased code. The skill also promotes crewhaus.ai paid reports — verify that domain and its privacy policy if you plan to send sensitive material. If you want to limit exposure, do not invoke the quickscan (use the local /crewhaus:score only), or disable the agent's web/network access for this skill.

Capability Analysis

Type: OpenClaw Skill Name: crewhaus Version: 1.0.0 The skill bundle is a legitimate startup idea evaluation tool that provides scoring and basic market analysis. It uses standard prompt instructions to guide the AI agent's behavior and includes a lead-generation mechanism for the developer's website (crewhaus.ai), with no evidence of malicious code, data exfiltration, or harmful prompt injection.

Capability Assessment

✓ Purpose & Capability

Name/description match the behavior in SKILL.md and command files: quick score locally and a deeper scan that uses web search to find competitors. No unexpected binaries, env vars, or config paths are required.

ℹ Instruction Scope

Instructions are narrowly scoped to evaluating ideas, scoring, and (for quickscan) using web search to find 2–3 real competitors. This is coherent with the stated purpose, but the SKILL explicitly requires sending the user's idea to external web search/search tools and to cite found data — so confidential or proprietary idea text will leave the local agent context.

✓ Install Mechanism

There is no install spec and no code files that execute on the host. This is low-risk from a local installation/execution perspective.

✓ Credentials

The skill declares no environment variables, credentials, or config paths. That is proportionate to the described functionality.

✓ Persistence & Privilege

always is false and there is no indication the skill modifies system or other skills' settings. It is user-invocable and can be called autonomously by the agent (platform default).

How to Use

Make sure OpenClaw is installed (local or Docker)
Run the install command in chat: /install crewhaus
After installation, invoke the skill by name or use /crewhaus
Provide required inputs per the skill's parameter spec and get structured output

Version History

v1.0.0

Initial public release. Quick idea scoring and deeper scans with real competitor data.

Metadata

Slug crewhaus

Version 1.0.0

License MIT-0

All-time Installs 0

Active Installs 0

Total Versions 1

Frequently Asked Questions

What is CrewHaus Startup Validation?

Quick startup idea evaluation from your terminal. Score ideas on 3 dimensions, run deeper scans with real competitor data and risk assessment. A structured t... It is an AI Agent Skill for Claude Code / OpenClaw, with 268 downloads so far.

How do I install CrewHaus Startup Validation?

Run "/install crewhaus" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is CrewHaus Startup Validation free?

Yes, CrewHaus Startup Validation is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does CrewHaus Startup Validation support?

CrewHaus Startup Validation is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created CrewHaus Startup Validation?

It is built and maintained by crewhaus (@crewhaus); the current version is v1.0.0.

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