# Opportunity Scorer

> Opportunity Scorer Skill

- Skill: `uitbreidenos/opportunity-scorer` (Agent Skill)
- Install (CLI): `npx skillmds@latest add uitbreidenos/opportunity-scorer`
- Raw SKILL.md: https://api.skillmd.com/api/skills/uitbreidenos/opportunity-scorer/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: UitbreidenOS (https://skillmd.com/u/uitbreidenos)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/uitbreidenos/opportunity-scorer

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# Opportunity Scorer Skill

## When to activate

Before any deep research on a company. Run this first to determine thesis fit and research depth.

## When NOT to use

- Company already in portfolio
- Incomplete company data (name + stage + industry required)
- Founder or investor already known through network

## Instructions

1. Collect company name, industry, stage, founding date, geography
2. Gather founding team background (LinkedIn, Crunchbase)
3. Identify revenue status and key metrics if available (ARR, MRR, funding history)
4. Score against four dimensions:
   - **Founder/Team:** Prior exits, domain experience, cofounder + team strength (0–25 pts)
   - **Market Opportunity:** TAM size, market growth rate, competitive position (0–25 pts)
   - **Financial Health:** Revenue status, unit economics clarity, burn profile (0–25 pts)
   - **Product Clarity:** Differentiation, paying customers, retention signals (0–25 pts)
5. Calculate total score (0–100)
6. Return decision: GO (≥70), REVIEW (50–69), PASS (<50)
7. Include dimension breakdown with scoring rationale

## Example

**Input:** Stripe-like fintech, Series B, EU-based, 2 strong cofounders with prior exits, $3M ARR growing 20% MoM, clear payment moat

**Output:**
- Founder/Team: 24/25 (both had successful exits, strong execution track record)
- Market Opportunity: 24/25 (fintech payment market growing 15% CAGR, differentiated approach)
- Financial Health: 23/25 (ARR $3M with 20% growth, runway clear, unit economics positive)
- Product Clarity: 23/25 (clear differentiation in payment rails, customer traction evident)

**Total Score: 94/100**
**Recommendation: GO** — Meets thesis criteria across all dimensions. Recommend scheduling deep DD.