⚡ Vigil ⚡ Detect prompt injections, jailbreaks, and other potentially risky Large Language Model (LLM) inputs
$ npx skills add deadbits/vigil-llmAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
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The Security Toolkit for LLM Interactions
⚡ Vigil ⚡ Detect prompt injections, jailbreaks, and other potentially risky Large Language Model (LLM) inputs
$ npx skills add deadbits/vigil-llm🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
$ npx skills add langfuse/langfuseDebug, 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🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
$ npx skills add Helicone/heliconeRun any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
$ npx skills add bentoml/OpenLLMThe easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
$ npx skills add bentoml/BentoMLOpen-source observability for your GenAI or LLM application, based on OpenTelemetry
$ npx skills add traceloop/openllmetryThe 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-Handbook🐢 Open-Source Evaluation & Testing library for LLM Agents
$ npx skills add Giskard-AI/giskard-oss🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
$ npx skills add decodingai-magazine/llm-twin-courseThe 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/mlflow⚙️🦀 Build modular and scalable LLM Applications in Rust
$ npx skills add 0xPlaygrounds/rigPython SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view
$ npx skills add raga-ai-hub/RagaAI-CatalystBuild, Manage and Deploy AI/ML Systems
$ npx skills add Netflix/metaflow⛓️ Serving LangChain LLM apps and agents automagically with FastApi. LLMops
$ npx skills add msoedov/langcornThe platform for LLM evaluations and AI agent testing
$ npx skills add langwatch/langwatchHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Llm Guard if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.