Can a TypeSafe Jev prior read from a README on day one predict which new agent-skill repos gain stars? Zero-shot Jev ≈ a text model trained on ~150 labels; best used as a feature. Prospective test running.
The link points at the commit we read, so the line number still holds.
This one cannot run here
Its question set is assembled at runtime, or never written out literally in the code, so there is nothing to lift. The source link above will show you.
Other projects in this category
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eutrya ▶ — Jev-native AI security harness for autonomous research, multi-agent swarms, persistent hunt boards, and long-running agent workflows. CLI-first, open source, and built for authorized security research.
typesafe-local ▶ — Inspired by TypeSafe Ai, Ask a local LLM typed questions, get calibrated probabilities instead of text. Structured output without generation or parsing. MLX / Apple Silicon.
jev-mcp ▶ — Connect JEV to MCP clients and compare its judgments against general-purpose LLMs using shared datasets and measurable accuracy.
omp-jev ▶ — TypeSafe Jev routing for Oh My Pi, with an opt-in checkpoint orchestrator and editable XDG configuration. Requires Bun = 1.3.14 and OMP = 18.2.3.
jev-chat ▶ — A chatbot from typed Jev decisions: hierarchical speculative decoding over System One probabilities.
jev-browse ▶ — jev-browse is an unofficial project and isn't affiliated with TypeSafe or Vercel.