christian-machine-intelligence/virtue-bench-2

This is a brand-new repository (0 days old) with zero adoption signals (1 star, 0 forks, 0 velocity). It appears to be an early-stage academic or research project applying Christian theological frameworks to LLM evaluation. The novelty lies in combining established LLM benchmarking techniques with specialized theological virtue models (tripartite and Ignatian temptation frameworks), but the execution is at prototype stage with no evidence of production use or community traction. Platform domination risk is low because this is a highly specialized niche evaluation framework for a specific philosophical/theological angle on AI alignment—major cloud platforms are unlikely to embed virtue-theology benchmarks as native capabilities. Market consolidation risk is also low because there are no established incumbents in 'Christian virtue-based LLM evaluation'—this is a nascent, domain-specific niche with minimal commercial pressure. The 3+ year displacement horizon reflects the early-stage nature: significant time would be needed for this approach to either gain adoption and defensibility, or fade as an academic exercise. The defensibility score of 2 reflects tutorial/demo-stage maturity: no users, no network effects, novel positioning but no moat yet. If the project gains research citations and becomes the de facto standard for virtue-aligned LLM evaluation in academic circles, defensibility could improve, but today it is trivially reproducible by anyone with LLM evaluation experience and theological knowledge.