Claude Code Skills·Claude Skills·The open SKILL.md registry for Claude
ClaudSkills / Science & Research / math-stats

Analyzing Offline Evaluations

Category: Science & Research  ·  Sub-category: math-stats  ·  Last updated:
type:debug
Inspect and compare offline AI evaluation experiments, diagnose case-level regressions, and follow scorer history across application, model, or prompt changes. Use when a user asks whether an offline run improved, why a case failed, how scores changed between runs, or how to publish externally computed offline results. Covers immutable scorer versions, comparable dataset cohorts, incomplete coverage, and selective payload reads.
Security AStatic scan found no risk patternsHow grading works ›

From the source SKILL.md

Offline experiments store results from applications and evaluators executed outside PostHog. Their create/upload tools record results; they do not run code or call a judge. For online Hog, LLM-judge, or sentiment evaluations on captured generations, use exploring-llm-evaluations instead.

What this skill does

Analyzing Offline Evaluations is a community-contributed Claude Code skill in the math-stats sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/analyzing-offline-evaluations/ and loads when your prompt matches the skill's trigger.

When to invoke it: Use when a user asks whether an offline run improved, why a case failed, how scores changed between runs, or how to publish externally computed offline results. Covers immutable scorer versions, comparable dataset cohorts, incomplete coverage, and selective payload reads.

Who uses this skill

The Analyzing Offline Evaluations Claude Code skill is built for researchers, data scientists, academics, and analysts working with complex data and scientific literature. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 206,000+ 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/analyzing-offline-evaluations
curl -L https://claudskills.com/skills/analyzing-offline-evaluations/SKILL.md \
  -o ~/.claude/skills/analyzing-offline-evaluations/SKILL.md

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

Skills live at ~/.claude/skills/analyzing-offline-evaluations/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\analyzing-offline-evaluations\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 Analyzing Offline Evaluations Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/analyzing-offline-evaluations/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Analyzing Offline Evaluations skill do?
Inspect and compare offline AI evaluation experiments, diagnose case-level regressions, and follow scorer history across application, model, or prompt changes. Use when a user asks whether an offline run improved, why a case failed, how scores changed between runs, or how to publish externally computed offline results. Covers immutable scorer versions, comparable dataset cohorts, incomplete coverage, and selective payload reads.
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 Analyzing Offline Evaluations skill?
Use Analyzing Offline Evaluations when your Claude Code task falls under the Science & Research category — specifically in the math stats 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 Analyzing Offline Evaluations" or describe the task and let Claude pick). Browse related skills at /category/science/.
What is a Claude Code skill and how does the Analyzing Offline Evaluations 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. Analyzing Offline Evaluations is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Science & Research 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
PostHog. (2026). Analyzing Offline Evaluations [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/analyzing-offline-evaluations/
BibTeX
@misc{analyzing-offline-evaluations-2026,
  author    = {PostHog},
  title     = {Analyzing Offline Evaluations [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/analyzing-offline-evaluations/}
}

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
[![ClaudSkills](https://claudskills.com/badge/analyzing-offline-evaluations.svg)](https://claudskills.com/skills/analyzing-offline-evaluations/?utm_source=badge&utm_medium=readme&utm_campaign=skill_badge)
<script>
<script src="https://claudskills.com/embed/analyzing-offline-evaluations.js" async></script>
<iframe>
<iframe src="https://claudskills.com/embed/analyzing-offline-evaluations.html" width="100%" height="160" frameborder="0" loading="lazy" title="ClaudSkills: Analyzing Offline Evaluations"></iframe>

Security scan

Grade A · scanned 2026-10-11 — 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 ›

Show this grade on your repo (click to copy):

[![Security: A](https://img.shields.io/badge/Security-A-2e7d32)](https://claudskills.com/skills/analyzing-offline-evaluations/#security)

Free. No spam. Unsubscribe in one click.

More Science & Research skills

Browse all Science & Research skills in the ClaudSkills registry, or explore these other picks from the same category:

Browse all Science & Research skills → Top 100 skills
Part of ClaudSkills — the open registry for Claude Skills & Claude Code Skills.  ·  What's New  ·  Install guide  ·  About  ·  llms.txt

Part of Acreator Store — Adam Lankamer's AI tools: PerfectStudio · Ucaption · UTagger · AutoXPoster · TestYourSkills · AutomationFlows · Au Naturel · Telegram @acreatorstore