Evaluate agent skill quality. Find the weakest link. Fix it. Prove it worked.
-
Updated
Apr 23, 2026 - JavaScript
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.
The skill OS for Codex, Claude Code, and Gemini CLI. One pool, one router, one feedback loop — across all three hosts. Per-turn semantic top-K with dynamic context sizing, session-end self-evaluation, and evidence-blended re-ranking that gets better the more you use it.
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.
OpenSkillEval: Automatically Auditing the Open Skill Ecosystem for LLM Agents
Your AI agent skill doctor - 5-dimension scoring + security gate + leaderboard
A complete, open-source guide to Agent Skill design: from cognition to production. 28 chapters + 6 appendices.
MCP server for Claude Code: Anna's Archive search/download + Gemini methodology extraction → audited Claude Code SKILL.md. One tool call, end-to-end.
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
opencode 技能工厂 · Create, evaluate & optimize agent skills via DB physical-evidence eval engine. Cross-platform packaging (trae/claude/generic) + governance. 用 opencode.db 物理证据消除 LLM 自评偏差。
Claim-first repo 评测框架。in target repo + claim map → out bilingual verdict dossier + all-evals dashboard
🧬 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
Convert methodology books from Anna's Archive into Claude Code skills using the Model Context Protocol.
A focused Go evaluator for agent-skills CI
A skill that reviews whether skills found online are safe to install for non-tech-background developers
100% deterministic evaluation framework for AI agent skills with dual-phase scoring, comprehensive security scanning, and transparent grading
Evaluate agent SKILL.md files for structure, security, quality, and domain correctness.
Automated model evaluation pipeline v10 (post-incident architecture rewrite)
AI-powered mock interview platform with automated scoring, role-based questions, modern React UI, FastAPI backend, and a fully implemented freemium SaaS architecture.
One-stop CLI for running structured skill evals across all agent harnesses
Add a description, image, and links to the skill-evaluation topic page so that developers can more easily learn about it.
To associate your repository with the skill-evaluation topic, visit your repo's landing page and select "manage topics."