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RAG Eval

Category: General  ·  Sub-category: ai-tooling  ·  Last updated:
ai:rag
Filesystem RAG benchmarks: corpus/, train.json, evaluate_rag.py (RAGAS quality). Not for prod monitoring, latency/throughput benchmarking (use rag-perf), or evals outside this repo layout.

About this skill (catalog notes)

RAG Eval includes explicit scope boundaries (an explicit 'when not to use' or 'out of scope' section); a dedicated installation section; worked examples. The SKILL.md runs to about 850 words, in the catalog's typical mid-range.

Source
docs.nvidia.com/skills
Original author
NVIDIA
Indexed lastmod
Catalog position
General · ai-tooling
Indexed related skills
10

How RAG Eval fits the catalog

RAG Eval sits in the General category under the ai-tooling sub-topic in the ClaudSkills catalog. There are 10 related skills indexed alongside it; comparing a few before installing usually reveals which fits your workflow best.

These notes are auto-generated from features detected in the SKILL.md file and from this catalog's structure — they aren't part of the source repository.

What this skill does

RAG Eval is a community-contributed Claude Code skill in the ai-tooling sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/rag-eval/ and loads when your prompt matches the skill's trigger.

Who uses this skill

The RAG Eval Claude Code skill is built for Claude Code users and developers across all disciplines looking for general-purpose AI assistance. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 76,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/rag-eval
curl -L https://claudskills.com/skills/rag-eval/SKILL.md \
  -o ~/.claude/skills/rag-eval/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/rag-eval/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/rag-eval/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\rag-eval\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

Pro

For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.

Frequently asked questions

How do I install the RAG Eval Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/rag-eval/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the RAG Eval skill do?
Filesystem RAG benchmarks: corpus/, train.json, evaluate_rag.py (RAGAS quality). Not for prod monitoring, latency/throughput benchmarking (use rag-perf), or evals outside this repo layout.
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the RAG Eval skill?
Use RAG Eval when your Claude Code task falls under the General category — specifically in the ai tooling area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use RAG Eval" or describe the task and let Claude pick). Browse related skills at /category/general/.
What is a Claude Code skill and how does the RAG Eval skill fit in?
A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. RAG Eval is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the General category. Learn more at /learn/what-is-a-claude-skill/.

Attribution & license

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA
NVIDIA. (2026). RAG Eval [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/rag-eval/
BibTeX
@misc{rag-eval-2026,
  author    = {NVIDIA},
  title     = {RAG Eval [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/rag-eval/}
}

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