Learning to Evaluate Before Improving: Automatic Rubric Induction for Automatic Research Agents
Scientific reliability layer for AI-assisted biology: evaluates what evidence warrants, caps unsupported claims, audits analytical validity, and prevents silent scientific overreach.
The private, offline-first prompt manager for AI Agent power users. Features AES-256 encrypted local storage, a built-in AI Librarian to evaluate & refine prompts with Gemini & Groq fallback, dynamic {{variable}} templates, Supabase cloud sync, analytics, and instant ⌘K search.
OpenVEX feed and NixOS module to manage NixOS CVEs, evaluated against your system's configuration.
An automated, multi-turn LLM red-teaming pipeline that pits an Attacker model against a Target model to evaluate safety boundaries, featuring LLM-as-a-Judge scoring and an interactive HTML vulnerability dashboard.