LLM Eval Type Selector
Use this skill when a developer wants to decide what type of evaluation to build for their AI system. Triggers on: "should I use a rule or a judge", "what type of eval should I build", "decide eval type", "judge vs programmatic rule", "LLM-as-judge vs rule-based eval", "which evaluation type should I use", "how do I evaluate [X]", "what eval should I use for this failure", "is this a rule or a judge", "how should I evaluate my AI automatically", "what kind of eval fits this issue". Takes one or more failure modes or quality dimensions and returns a concrete type recommendation — programmatic rule, LLM-as-judge, or composite — with rationale and a suggested implementation path.
Security AStatic scan found no risk patternsHow grading works ›
From the source SKILL.md
You help developers decide what type of automated evaluation to build for a given failure mode or quality dimension.
What this skill does
LLM Eval Type Selector is a community-contributed Claude Code skill in the general-misc sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/llm-eval-type-selector/ and loads when your prompt matches the skill's trigger.
Who uses this skill
The LLM Eval Type Selector 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 152,000+ 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/llm-eval-type-selector
curl -L https://claudskills.com/skills/llm-eval-type-selector/SKILL.md \
-o ~/.claude/skills/llm-eval-type-selector/SKILL.md
Or just download SKILL.md directly and drop it into ~/.claude/skills/llm-eval-type-selector/. Claude Code auto-discovers it on next session.
Skills live at ~/.claude/skills/llm-eval-type-selector/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\llm-eval-type-selector\SKILL.md on Windows. See the full install guide for step-by-step instructions.
Telegram
📱 Install from your phone or desktop Telegram
Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →
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 LLM Eval Type Selector Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy
SKILL.md from the source repository to
~/.claude/skills/llm-eval-type-selector/SKILL.md and restart Claude Code. Both flows are detailed at
claudskills.com/install/.
What does the LLM Eval Type Selector skill do?
Use this skill when a developer wants to decide what type of evaluation to build for their AI system. Triggers on: "should I use a rule or a judge", "what type of eval should I build", "decide eval type", "judge vs programmatic rule", "LLM-as-judge vs rule-based eval", "which evaluation type should I use", "how do I evaluate [X]", "what eval should I use for this failure", "is this a rule or a judge", "how should I evaluate my AI automatically", "what kind of eval fits this issue". Takes one or more failure modes or quality dimensions and returns a concrete type recommendation — programmatic rule, LLM-as-judge, or composite — with rationale and a suggested implementation path.
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 LLM Eval Type Selector skill?
Use LLM Eval Type Selector when your Claude Code task falls under the General category — specifically in the general misc 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 LLM Eval Type Selector" or describe the task and let Claude pick). Browse related skills at
/category/general/.
What is a Claude Code skill and how does the LLM Eval Type Selector 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. LLM Eval Type Selector 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
ClaudSkills. (2026). LLM Eval Type Selector [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/llm-eval-type-selector/
BibTeX
@misc{llm-eval-type-selector-2026,
author = {ClaudSkills},
title = {LLM Eval Type Selector [Claude Code skill]},
year = {2026},
publisher = {ClaudSkills},
url = {https://claudskills.com/skills/llm-eval-type-selector/}
}Embed this skill
Promote, attribute, or link this skill from your own README, blog post, or documentation. All three snippets are free to use — no sign-up, no API key. More distribution surfaces →
Badge
[](https://claudskills.com/skills/llm-eval-type-selector/?utm_source=badge&utm_medium=readme&utm_campaign=skill_badge)
<script>
<script src="https://claudskills.com/embed/llm-eval-type-selector.js" async></script>
<iframe>
<iframe src="https://claudskills.com/embed/llm-eval-type-selector.html" width="100%" height="160" frameborder="0" loading="lazy" title="ClaudSkills: LLM Eval Type Selector"></iframe>
Security scan
Grade A · scanned 2026-07-16 — free static scan against the OWASP Agentic Skills Top 10.
No risk patterns were found in any of the ten OWASP-aligned categories. How grading works ›
- ✓ Prompt injection
- ✓ Data exfiltration
- ✓ Supply chain
- ✓ Reverse shell
- ✓ Credentials
- ✓ Execution
- ✓ Filesystem
- ✓ Persistence
- ✓ Obfuscation
- ✓ Network
Show this grade on your repo (click to copy):
[](https://claudskills.com/skills/llm-eval-type-selector/#security)
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