Orellius/orellius-cognitive

This is an early-stage (28 days old), zero-velocity project with minimal adoption (8 stars, no forks). The description positions it as a safety/red-teaming toolkit in Rust, which is a useful niche, but the project shows no active development, no community engagement, and no visible differentiation from existing safety frameworks (e.g., OpenAI's evals, Anthropic's red-teaming guidelines, or general-purpose adversarial testing libraries). Platform domination risk is HIGH because: (1) OpenAI, Anthropic, and Google are actively investing in AI safety and red-teaming as core platform features; (2) safety frameworks are increasingly being bundled into model APIs and evaluation services; (3) a Rust SDK has limited appeal compared to Python-first safety tools dominating the field. Market consolidation risk is MEDIUM because specialized safety consulting firms (e.g., Anthropic's own red-teaming practice, third-party security vendors) could absorb this capability if it showed traction. The 6-month horizon reflects immediate competitive pressure from well-funded platform vendors shipping safety-as-a-service. The project's lack of momentum, absence of forks, and absence of detailed README content suggest it's a personal experiment or abandoned prototype. Without novel methodology, persistent adoption signals, or differentiation, displacement is likely imminent if platforms prioritize this area (which they are).