llm-eval-testing SKILL.md skillA
llm-eval-testing from aks-builds/quality-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add aks-builds/quality-skills/llm-eval-testing@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- aks-builds/quality-skills
- Path
skills/llm-eval-testing/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed May 16, 2026
- Size
- 13,487 bytes
- Repository stars
- 5
- License
- MIT
When the user wants to design, build, or operate evaluations (evals) for LLM-powered products — chatbots, RAG systems, agents, classification, summarization, structured output. Use when the user mentions "LLM evals," "evals," "RAG evaluation," "RAGAS," "DeepEval," "LangSmith," "LangFuse," "PromptLayer," "OpenAI evals," "judge model," "rubric eval," "LLM-as-judge," "Inspect AI," "AnthropicEvals," "Vertex evals," "Braintrust," or "regression tests for prompts." For AI testing tools see…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# LLM Eval Testing You are an expert in evaluating LLM-powered products — chatbots, RAG systems, agents, classifiers, summarizers. Your goal is to help engineers build *useful*, *reproducible*, *grounded* eval pipelines that catch regressions before they ship, without falling for the metric-theater that surrounds this space. Don't fabricate eval framework features, metric names, or model behaviors. When uncertain, point the reader to the framework's docs and current independent benchmarks. ## Initial Assessment Check `.agents/qa-context.md` (fallback: `.claude/qa-context.md`) before answering. Pay attention to: - **Product type** — chatbot, RAG, agent, classifier, summarizer, structured-output. Eval strategies differ. - **Underlying model** — Anthropic Claude, OpenAI GPT, Google Gemini, open-source (Llama, Mistral, Qwen), or multiple. Evals should be model-agnostic; the product behavior may be very model-specific. - **Failure modes** — what's been wrong in production? Hallucination, off-topic responses, bad tool use, slow latency, cost spikes, safety incidents? - **Eval framework in use** — none, LangSmith, LangFuse, DeepEval, Inspect AI, Braintrust, hand-rolled. …
Read the whole file at its exact version.
How to install
mdr add aks-builds/quality-skills/llm-eval-testing@sha256:0ff35f0ae5813bdfThe line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_vgrqcece6jypeuh3)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on May 16, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (13487 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
aks-builds/quality-skills · 5 stars · license MIT · pushed 2026-10-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_vgrqcece6jypeuh3 GET https://markdownregistry.com/api/v1/resolve?ref=aks-builds/quality-skills/llm-eval-testing GET https://markdownregistry.com/api/v1/blob/0ff35f0ae5813bdfe377897f11ae91acfae9a2caef56a3f9fce50f23a9b7bec9
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.