The evaluation benchmark on MCP servers

[COLM'26] SkillLearnBench is the first benchmark for evaluating continual learning methods that automatically generate agent skills.

SRA-Bench and SR-Agents: a benchmark and toolkit for skill-retrieval-augmented LLM agents.

Curated Claude Fable 5 use cases, tutorials, integrations, demos, and benchmark evidence with source links and multilingual README files.

Cross-platform .NET performance engineering skill for coding agents, covering CPU, memory, GC, benchmarking, concurrency, startup, native profiling, GPU rendering, and production diagnostics on macOS, Windows, and Linux.

An Agent Skill helping you to optimize Xcode incremental and clean builds by running benchmarks and optimizing build settings.

ADR secures enterprise AI agents through observability, security benchmarking, and threat detection. Deployed at Uber.

GLM-5.3-Flash × J-Space capability realization — benchmark presentation of the J-Space Cognition Suite

Goku is an HTTP load testing application written in Rust

Public results and task definitions for FrontierHarness Eval

Playwright for coding agents. Benchmark Claude Code, Codex, Gemini, and OpenCode on your own tasks - and test that your skills, MCP servers, and CLIs work when an agent uses them. Sandboxed YAML suites, activation checks, A/B experiments, CI gates.

CLI tool for querying Apache Spark History Server REST API

An MCP server that lets LLM agents play Civilization VI.

Multi-tier framework for evaluating AI agent skills with quality gates, semantic overlap detection, synthetic evaluation dataset generation, and live agent evaluation that measures how skills affect agent behavior.

AgentVitals Checkup (/checkup) — an AI agent skill that gives your agent a professional health checkup: dual-axis Stability + Welfare scoring, a personality-style title, and a public cross-platform leaderboard. One-line install for Claude Code / OpenClaw / Codex / Coze. Bilingual EN/ZH.