Skill: 1kalin/afrexai-vendor-eval (version 1.0.0)

# Vendor Evaluation & Due Diligence Structured framework for evaluating software vendors, service providers, and technology partners before signing contracts. ## What This Does Runs a systematic vendor assessment across 8 dimensions: 1. **Financial Stability** — Revenue signals, funding, burn rate indicators 2. **Technical Fit** — Architecture compatibility, integration complexity, API quality 3. **Security & Compliance** — SOC2, ISO27001, GDPR, data residency 4. **Pricing Analysis** — TCO modeling, hidden costs, contract traps 5. **Reference Check** — Customer sentiment, G2/Capterra scores, churn signals 6. **Support Quality** — SLA terms, response times, escalation paths 7. **Vendor Lock-in Risk** — Data portability, switching costs, proprietary dependencies 8. **Roadmap Alignment** — Product direction vs. your needs over 12-36 months ## How to Use Tell your agent: - "Evaluate [vendor] for [use case]" - "Compare [vendor A] vs [vendor B] for our [need]" - "Run due diligence on [company] before we sign" The agent will research the vendor using web search and produce a scored evaluation report with a GO / CAUTION / NO-GO recommendation. ## Scoring Each dimension scores 1-10. Overall score is weighted: - Technical Fit & Security: 2x weight - Pricing & Lock-in: 1.5x weight - All others: 1x weight **Thresholds:** - 75+ = GO (proceed with negotiation) - 50-74 = CAUTION (address gaps before committing) - Below 50 = NO-GO (find alternatives) ## Output Format ``` ## Vendor Evaluation: [Name] **Use Case:** [What you're buying] **Date:** [Assessment date] **Overall Score:** [X/100] — [GO/CAUTION/NO-GO] ### Dimension Scores | Dimension | Score | Key Finding | |-----------|-------|-------------| | Financial Stability | X/10 | ... | | Technical Fit | X/10 | ... | | ... | ... | ... | ### Critical Risks - [List dealbreakers or major concerns] ### Negotiation Leverage - [Points to push on in contract talks] ### Recommendation [Final verdict with reasoning] ``` ## Instructions for Agent When asked to evaluate a vendor: 1. Search the web for: "[vendor] reviews", "[vendor] pricing", "[vendor] SOC2", "[vendor] alternatives", "[vendor] G2 reviews" 2. Check for recent funding/layoff news 3. Look at their API documentation quality 4. Find contract terms and SLA information 5. Score each dimension with evidence 6. Produce the evaluation report 7. Flag any dealbreakers prominently Be direct. Companies hide bad news — dig for it. A vendor that looks perfect probably isn't. Find the tradeoffs. For comparative evaluations, use the same framework side-by-side with a clear winner per dimension.

path: README.md
content: # Vendor Evaluation & Due Diligence

Stop making $50K+ vendor decisions on gut feel and sales demos.

This skill gives your AI agent a structured 8-dimension framework to evaluate any software vendor, service provider, or technology partner — and produce a scored GO / CAUTION / NO-GO recommendation backed by real research.

## What It Covers

- **Financial Stability** — Is this vendor going to exist in 2 years?
- **Technical Fit** — Does it actually integrate with your stack?
- **Security & Compliance** — SOC2, ISO27001, GDPR readiness
- **Pricing Analysis** — Total cost of ownership, not just the sticker price
- **Reference Check** — What real customers say (not the case studies)
- **Support Quality** — SLAs that matter, not marketing promises
- **Vendor Lock-in Risk** — Can you leave without rebuilding everything?
- **Roadmap Alignment** — Are they building what you need next?

## Use Cases

- Evaluating SaaS tools before annual contracts
- Comparing 2-3 shortlisted vendors
- Due diligence before agency/contractor partnerships
- Technology stack decisions
- M&A technical assessment

## Example

> "Evaluate Salesforce vs HubSpot for a 40-person B2B SaaS company"

Your agent will research both, score them across all 8 dimensions, and give you a clear recommendation with negotiation leverage points.

## Who This Is For

Operations leaders, CTOs, procurement teams, and founders who want data-driven vendor decisions instead of whoever had the best sales pitch.

---

**Want more business decision frameworks?** Check out the full [AfrexAI Context Pack collection](https://afrexai-cto.github.io/context-packs/) — industry-specific AI agent configurations for SaaS, Legal, Healthcare, Fintech, and more. Starting at $47.

**Free tools:** [AI Revenue Leak Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/) | [Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/)


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)