What problem does it solve?
It helps investors consistently evaluate whether an open-source project is investable in the AI cycle, even when public revenue data is incomplete, by producing a structured, weighted scorecard with guardrails and veto conditions.
Core Features & Use Cases
- 5-Dimension Weighted Scorecard (0–10): Produces dimension-level and total scores using ecosystem, team/globalisation, technical moat, commercialisation/PMF, and exit path weights.
- Macro Gate + One-Vote Vetoes: Stops early with a Pass recommendation when fundamental prerequisites fail and triggers immediate Pass when critical disqualifiers are detected.
- Indirect Signal Inference (V1.2): Uses verifiable proxy signals (e.g., SOC2, billing complexity, GTM hiring, enterprise case studies) when ARR/revenue is not public.
- Optional Anti-Fraud Star Health Protocol: Adjusts Dimension A scoring when star growth appears disconnected from real engineering activity.
Quick Start
Ask an AI agent to run the oss-investment-scorecard skill on the project you want to fund, using the framework rules from SKILL.md to generate the macro gate result, weighted dimension scores, verdict, and a ≤100-word IC thesis.
