What problem does it solve?
The skill uncovers gaps, contradictions, and unsupported claims in a company's data room so investors can avoid being misled by curated materials and prevent analytic hallucinations. It enforces an anti-hallucination principle: every claim must be grounded in a specific document and page, and independent sources are used whenever possible. Missing documents and conflicting figures are surfaced as primary findings rather than smoothed over.
Core Features & Use Cases
- Document inventory: Catalogs all files, types, dates, page counts and assigns analysis priority before running deep checks.
- Financial extraction (DR1): Pulls every quantitative claim from financial models and ties figures to source locations for ARR, CAC, LTV, burn, runway and projection assumptions.
- Claims register (DR2): Extracts exact wording of every factual claim from decks, updates and summaries into a verifiable register.
- Consistency & verification (DR3): Cross-references claims across internal documents and independent research, assigning VERIFIED / CONSISTENT / UNVERIFIED / DISCREPANCY / CONTRADICTION statuses.
- Cap table & legal surface (DR4): Summarizes cap table geometry and surfaces legal flags for attorney review without providing legal advice.
- Synthesis & output: Produces a dataroom-analysis.md report with documented sources, prominent discrepancy/contradiction sections, and follow-up questions for the company or GP.
Quick Start
Use the vc-dataroom-analysis skill to analyze the attached data room, verify every claim against documents and independent sources, and generate dataroom-analysis.md.
