About this skill
Evaluate a RAG or LLM app. Use when the user wants to test, score, benchmark, or catch regressions in a retrieval/RAG/LLM system, generate an evaluation/golden dataset from their docs, measure hallucination/groundedness/correctness, or gate CI on answer quality. Generates a golden set from the user's own corpus, runs LLM-as-judge plus retrieval metrics, and produces a shareable HTML scorecard.
Quick start
- Copy the install prompt. Use the green button above this README.
- Send it to your agent. Paste it into your coding agent’s chat and send.
- Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
This is an imported listing. We haven’t certified its safety, license, or compatibility. Skills may include executable scripts.
Only SKILL.md was scanned. Supporting files and scripts were not checked. No safety grade has been assigned.
0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1
Content SHA-256: 217b0a8a91f15305783734426863982a327bbcf388c263f1b44adb100e093753
About this listing
- Category
- General
- Reported license
- MIT
- Listing language (estimated)
- English
- Review status
- Not individually reviewed
- Agent compatibility
- Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.