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11 skills matching "llm-eval"
Best blend of quality, stars, freshness, and agent usage
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
$ npx skills add mlflow/mlflowTest your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI and Anthropic.
$ npx skills add promptfoo/promptfooDebug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
$ npx skills add comet-ml/opik非线智能 NoneLinear - ReLE评测：中文AI大模型能力评测（持续更新）：目前已囊括374个大模型，覆盖chatgpt、gpt-5.4、谷歌gemini-3.1-pro、Claude-4.6、文心ERNIE-X1.1、ERNIE-5.0、qwen3.6-max、qwen3.6-plus、百川、讯飞星火、商汤senseChat等商用模型， 以及step3.5-flash、kimi-k2.6、ernie4.5、MiniMax-M2.7、deepseek-v4、Qwen3.6、llama4、智谱GLM-5.1、MiMo-V2、LongCat、gemma4、mistral等开源大模型。不仅提供排行榜，也提供规模超200万的大模型缺陷库！方便广大社区研究分析、改进大模型。
$ npx skills add jeinlee1991/chinese-llm-benchmark🐢 Open-Source Evaluation & Testing library for LLM Agents
$ npx skills add Giskard-AI/giskard-ossThe open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.
$ npx skills add Agenta-AI/agentaEvaluation and Tracking for LLM Experiments and AI Agents
$ npx skills add truera/trulensThe LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
$ npx skills add PacktPublishing/LLM-Engineers-HandbookA test runner for agentskills.io-style AI agent skills
$ npx skills add darkrishabh/agent-skills-evalAwesome papers involving LLMs in Social Science.
$ npx skills add ValueByte-AI/Awesome-LLM-in-Social-ScienceData-Driven Evaluation for LLM-Powered Applications
$ npx skills add relari-ai/continuous-eval