brutal-idea-eval

Evaluate startup IDEA.md files with phased moat, revenue, and VC analyses.

2|Updated Feb 9, 2026
One-click install
npx skills add https://github.com/sssemil/SKILLS --skill brutal-idea-eval
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: brutal-idea-eval
Source: https://github.com/sssemil/SKILLS/tree/main/brutal-idea-eval
Command: npx skills add https://github.com/sssemil/SKILLS --skill brutal-idea-eval

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides a structured, repeatable evaluation framework to determine defensibility, revenue viability, and strategic pivot options for a startup idea by analyzing an IDEA.md.

Core Features & Use Cases

  • End-to-end IDEA evaluation using Reality's Moat, Revenue Reality Check, VC Power-Law filter, and a deep research pipeline to produce a validated verdict and pivot recommendations.
  • Generates phased outputs (moat analysis, VC assessment, revenue reality checks, initial verdict) and a structured research plan for Phase 6.

Quick Start

Run the brutal-idea-eval skill against an IDEA.md to generate a full analysis session with a synthesized verdict and a research plan.

Frequently Asked Questions about brutal-idea-eval

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

FAQPage Schema
How do I evaluate startup idea defensibility and revenue viability before pitching?

Startup idea evaluation analyzes an IDEA.md to assess defensibility, revenue viability, and scalability using Reality's Moat analysis and Revenue Reality Check frameworks to produce a validated verdict.

What is a VC Power-Law filter and when do I need it for idea evaluation?

A VC Power-Law filter evaluates whether a startup idea meets venture capital scale requirements during idea evaluation. You need it when validating if an idea's scalability potential aligns with VC funding expectations.

How to run a structured deep research pipeline to validate startup claims?

Run deep research by executing a structured pipeline across phase outputs including moat analysis, VC assessment, and revenue reality checks, yielding a concrete research plan to validate claims systematically.

Can I get pivot recommendations from a startup idea evaluation?

Yes, pivot recommendations are a direct output of the startup idea evaluation framework, generated after analyzing defensibility, revenue viability, and scalability potential to suggest strategic direction changes.

Does startup idea evaluation work without external dependencies or API integrations?

Startup idea evaluation runs without external dependencies, using a phased internal framework to generate moat analysis, revenue reality checks, VC filtering, and a structured research plan from an IDEA.md.

What is the best way to assess moat and scalability for an early-stage startup idea?

The best way to assess moat and scalability is applying Reality's Moat analysis combined with VC Power-Law filtering during a structured evaluation, producing a defensibility assessment and scalability verdict.