MCP servers and skills: search, filter by where they run, and compare.
Teach your agent to work with evals: WHEN you actually need an eval or benchmark, HOW to build one that holds up, and how to read what it tells you. Deterministic-first, tool-agnostic.
SkillApache-2.0★ 19No key
AssetOpsBench - Industry 4.0: A unified benchmark and framework for building, orchestrating, and evaluating domain-specific AI agents for Industry 4.0 asset operations and maintenance, with 460+ scena
OfficialPythonApache-2.0★ 2.4kNo key
Use this skill when the operator is authoring, building, loading, or debugging a custom doca-bench plug-in — a versioned shared library with DOCA_EXPERIMENTAL-marked C entry points that doca-bench loa
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Evidence-gated workflow for MoE performance optimization in Megatron Bridge. Covers measurement contracts, the Three Walls framework, parallel folding, profiling, matched A/B tuning, and final validat
OfficialSkillApache-2.0★ 3.6k in collectionNo key
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 a
OfficialSkillApache-2.0★ 572No key
turns your codebase into an autoresearch loop — discovers what to measure, instruments the benchmark, then runs tree search with parallel subagents.
SkillApache-2.0★ 1.5kNo key
Playwright for coding agents. Test that your skills, MCP servers, and CLIs actually work when an agent uses them — sandboxed YAML suites, A/B experiments, CI gates.
PythonApache-2.0★ 151No key
The memory layer for production AI agents. Python + JS SDKs, 24 framework integrations, MCP server.
Hosted by authorApache-2.0★ 77No key
Standardized environment infrastructure for Agentic AI development.
SkillApache-2.0★ 319No key
PAST-Bench: Benchmarking the Foundations of Recursive Self-Improvement in Personal Agents
SkillApache-2.0★ 34No key
A type-checker and contract layer for AI agent tool calls, deny-by-default, in-process, Pydantic-only. Strict argument validation, ghost-argument stripping, and self-healing retries for MCP servers an
PythonApache-2.0★ 16No key
An open, reproducible trust layer for AI artifacts — skills, MCP servers, agents, and plugins. Assay inspects code, runs sandboxed behavioral audits, and generates verifiable reports. Help us build th
Node.jsApache-2.0★ 12No key
A framework for discovering, compiling, and validating reusable skills for scientific agents.
SkillApache-2.0★ 42No key
Local-first agent harness (Windows + Ollama) for 2–9B models. Same 2B model: 0.017 → 0.821 across four agent harnesses — 48×. 288-cell benchmark, every cell public. One-click zero-outbound mode. 本地优先，
SkillApache-2.0★ 21No key
Readable agent skills with optional declarative YON protocols you can inspect and validate. A personal, field-used pack by Alexandru Mares.
SkillApache-2.0★ 15No key
The luck-robust benchmark for trading agents.
Node.jsApache-2.0★ 6No key
An evidence-graded catalog of open-source AI agents. Nightly crawl, transparent composite ranking with published weights, and hand-written MCP adapters. Every claim is labeled by how it was verified.
PythonApache-2.0★ 4Few starsNo key
Open-source runtime security rules engine for MCP servers and AI agents. Detects prompt injection, command injection, jailbreaks, and data exfiltration.
SkillApache-2.0★ 19No key
Nestrs is a Rust web framework that lets you build structured APIs using the same architectural patterns as NestJS — modules, controllers, providers, and dependency injection — while running on Axum a
SkillApache-2.0★ 9No key
Portable WPE WebKit runtime for AI agents with native input, screenshots, ordered JSONL, and reproducible benchmarks.
DockerApache-2.0★ 2Few starsNo key
🏥 MCP Server with 121 validated medical calculators for AI agents. DDD architecture, evidence-based formulas with PMID citations. Supports Claude, GPT, and other LLM integrations.
PythonApache-2.0★ 4Few starsNo key
Open, reproducible framework for measuring, comparing, routing and verifying bounded work across heterogeneous LLMs via MCP.
DockerApache-2.0Few starsNo key
Verifiable-reward RL environments and evals for scientific domains, starting with HLA/immunogenetics
Hosted by authorApache-2.0Few starsNo key
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