Skills and eval rubrics for K-12 teachers, co-developed with Learning Commons
Official repository for DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research
HERO = Hashing · Edge cases · Rubrics · Overbuild — the four shapes coding agents over-defend in. A paste-in contract that stops them. Works with Claude Code, Codex, Antigravity, Cursor, Copilot, Windsurf, Gemini CLI.
A local-first, evidence-linked assignment planner.
Grader 的 agent 采用五阶段主循环:perceive→plan→act→observe→respond,由 harness 驱动。模型只决定意图与置信度,路由、工具集、风险等级由代码钉死。act 分只读 ReAct、RAG、人工提案、批量初批。四个写动作不在工具表,只能产提案。批改输出结构化 GradingDraft,逐条绑定 rubric 与段落 hash,保证可重放。
Schema-first structured extraction from LLMs — validated JSON from one call or a 150-page document.
Rubric-Centered Framework for Research-Plan Generation
[EMNLP 2026] Official implementation of V-Rubrics: Visual Faithfulness via Rubric-Based Reinforcement Learning.
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提交前按老师要求逐条检查作业的开源 Agent Skill · Pre-submit assignment checker for briefs, rubrics, evidence, citations, code and data.
Learning to Evaluate Before Improving: Automatic Rubric Induction for Automatic Research Agents
Command-line tool for TypeSafe AI's Jev model. Ask yes/no, multiple-choice and rubric questions about any text and get calibrated probabilities back. Answers become exit codes for shells and CI, JSON for scripts, and MCP tools for AI agents.
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Can AI engines cite your site, and do they? Free 0–100 readiness score on an open GEO rubric, plus ask and weekly citation tracking via OpenAI, Perplexity, Gemini, Anthropic and OpenRouter with your own keys. Zero dependencies; CLI, GitHub Action and MCP server.
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