Generates tailored giskard.checks evaluation suites for RAG (Retrieval-Augmented Generation) systems. Use whenever a user describes a Q&A bot grounded in documents, a knowledge-base chatbot, a retrieval system, or wants to evaluate answer groundedness, faithfulness, hallucination, retrieval quality, citation accuracy, or out-of-scope handling. Triggers on phrases like "evaluate my RAG", "test my retrieval", "check groundedness", "build a RAG eval suite", "eval my chatbot answers from docs", "test if my agent hallucinates", "check if my answers are faithful to the sources", or any evaluation task involving an agent that answers from documents, FAQs, wikis, or a knowledge base. Use this skill even when the user does not explicitly say "RAG" but describes an agent grounded in documents. For adversarial / red-teaming evaluation, use the scenario-generator skill instead. This skill focuses on quality, not safety.
EnglishGenerates tailored giskard.checks test scenarios and suites for AI agents. Use when user describes their agent and fears, asks to "create scenarios", "test my agent", "generate checks", "evaluate my chatbot", "red-team my AI", or wants to build adversarial test cases for LLM-based applications.
English
AGENT SKILLS ATLASIncludes RAG Evaluator and Scenario Generator.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLISupported by the Atlas install prompt. Skill-specific requirements vary.
Pack stats
What’s included
RAG Evaluator
Generates tailored giskard.checks evaluation suites for RAG (Retrieval-Augmented Generation) systems. Use whenever a user describes a Q&A bot grounded in documents, a knowledge-base chatbot, a retrieval system, or wants to evaluate answer groundedness, faithfulness, hallucination, retrieval quality, citation accuracy, or out-of-scope handling. Triggers on phrases like "evaluate my RAG", "test my retrieval", "check groundedness", "build a RAG eval suite", "eval my chatbot answers from docs", "test if my agent hallucinates", "check if my answers are faithful to the sources", or any evaluation task involving an agent that answers from documents, FAQs, wikis, or a knowledge base. Use this skill even when the user does not explicitly say "RAG" but describes an agent grounded in documents. For adversarial / red-teaming evaluation, use the scenario-generator skill instead. This skill focuses on quality, not safety.
Scenario Generator
Generates tailored giskard.checks test scenarios and suites for AI agents. Use when user describes their agent and fears, asks to "create scenarios", "test my agent", "generate checks", "evaluate my chatbot", "red-team my AI", or wants to build adversarial test cases for LLM-based applications.
Quick start
- Choose your skills. Select individual skills above, or choose the entire pack.
- Copy the install prompt. Use Copy install prompt above the list.
- Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.
Try it with your agent
After installation, start with a request like:
Use the RAG Evaluator skill to help with my task.
Ask me for the context you need before getting started.Requirements & license
- A coding agent that can access your project files and install skills.
- Your agent checks each skill’s instructions, dependencies, and permissions during setup.
- Reported license for the skills shown: Apache-2.0. The author’s terms apply.