The problem

Vetting a company for a job offer or a vendor contract is manual, time-consuming work. Relying solely on a company's own marketing pages leads to biased decisions and missed red flags hidden in third-party reviews.

What it does

• Scrapes official company pages, career portals, and "About Us" sections for core claims and data points.
• Queries Wikipedia, Crunchbase, and Tracxn to pull founding history, funding rounds, and valuation data.
• Aggregates unfiltered employee sentiment from Glassdoor, Blind, Reddit, and levels.fyi.
• Cross-references customer satisfaction via Trustpilot, G2, and Capterra to validate product claims.
• Generates a structured Markdown brief highlighting verified metrics, green flags, and specific red flags.

Why this beats prompting it yourself

This skill enforces a mandatory multi-source research protocol that a standard LLM prompt often skips. It performs systematic cross-validation between marketing claims and actual user/employee data, ensuring you get a balanced report instead of an AI-generated summary of just the top search result.

Use cases

• Researching a potential employer to prepare for an interview or evaluate a job offer.
• Vetting a B2B SaaS vendor or service provider before starting a procurement process.
• Due diligence on competitors to understand their hiring trends and funding status.
• Investigating company stability by checking for recent layoffs or leadership churn.

Known limitations

Requires active internet access to fetch real-time data. Private companies with no public filings or review presence will result in sparse reports.