Evaluate agent skill quality. Find the weakest link. Fix it. Prove it worked.

Open-source self-hosted web tool for evaluating Agent Skills with rubric scores, Deep Review, and improvement suggestions.

Evaluation framework for LLM knowledge inputs — prompts, RAG corpora, skills, agent workflows. Fix the model, vary the artifact. Built-in statistical rigor: bootstrap CI, Krippendorff α, length-debias, saturation curves.

Triage-trainer：从零为您的个人助手构建定制化的导诊 Skill，赋予精准的就诊科室推荐能力

Binary-criteria evaluation harness for Claude skills with planned extension to plugins, agents, and MCP servers. Score every change yes/no across 7 layers — package integrity, trigger quality, functional quality, regression protection, baseline value, model variance, rollout safety. Never gradients.

AI-powered mock interview platform with automated scoring, role-based questions, modern React UI, FastAPI backend, and a fully implemented freemium SaaS architecture.

Evaluate agent SKILL.md files for structure, security, quality, and domain correctness.

A skill that reviews whether skills found online are safe to install for non-tech-background developers

🧬 Agent 自我进化系统 - 基于数据驱动的 AI Agent 能力提升平台 | ✨ 任务监控/技能评估/智能调度/自动进化 | 📊 95%+ 测试覆盖，<20ms 延迟

Claim-first 仓库评测框架。in: owner/repo + repo_type → out: eval scaffold + 可靠性桶 (unusable/usable/reusable/recommendable)

Detect malicious code and security risks in AI skill files before installation to protect AI agents from hidden threats and obfuscation techniques.