The most explicit descriptive source in this pass was the B.Protocol documentation page, which presents RiskDAO as a service DAO launched to provide an open-source risk-assessment framework and audits for DeFi lending/borrowing protocols and L1 networks.
That page is important because it states the core methodology directly: use real-world liquidation data, asset price trajectories, and available DeFi liquidity to simulate bad-debt and liquidation outcomes, reducing reliance on hypothetical user-behavior assumptions.
The official/web-visible product surfaces show RiskDAO trying to distribute its work through repeatable interfaces: bad-debt dashboards, a Risk Level Index, protocol-specific risk-management dashboards, and an interest-rate simulator.
The GitHub organization confirms this is not just a research brand. Public repos include bad-debt frontend/backend code, leaderboard tooling, reports, weekly reports, simulation environments, and dashboard repositories.
The GitHub README material exposed in this pass was thin, so the strongest interpretive weight should stay on the docs page plus the visible product/dashboard and repo surface.
Open questions for a later pass
Pull more detail from the methodology PDF into a tighter explanation of how RiskDAO’s framework differs from Block Analitica- or Gauntlet-style risk stacks.
Compare the Risk Level Index / SmartLTV framing against other lending-risk taxonomies.
Identify which protocols most consistently externalize risk interpretation to RiskDAO tooling.