Analytics
Nexus-JPF/note-companion
When the user wants to set up, improve, or audit analytics tracking and measurement.
A/B testing, side-by-side comparison, and preference ranking for AI outputs.
Install Comparative Evaluation
$ npx skills add Owl-Listener/ai-design-skills --skill comparative-evaluation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Owl-Listener/ai-design-skills comparative-evaluation --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Owl-Listener/ai-design-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/evaluation/comparative-evaluation .claude/skills/comparative-evaluation && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "comparative-evaluation" agent skill from https://github.com/Owl-Listener/ai-design-skills/tree/main/skills/evaluation/comparative-evaluation into .claude/skills/comparative-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "comparative-evaluation", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Owl-Listener/ai-design-skills/tree/main/skills/evaluation/comparative-evaluationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Owl-Listener/ai-design-skills --skill comparative-evaluation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Owl-Listener/ai-design-skills comparative-evaluation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Owl-Listener/ai-design-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/evaluation/comparative-evaluation .agents/skills/comparative-evaluation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "comparative-evaluation" agent skill from https://github.com/Owl-Listener/ai-design-skills/tree/main/skills/evaluation/comparative-evaluation into .agents/skills/comparative-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "comparative-evaluation", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Owl-Listener/ai-design-skills --skill comparative-evaluation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Owl-Listener/ai-design-skills comparative-evaluation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Owl-Listener/ai-design-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/evaluation/comparative-evaluation .cursor/skills/comparative-evaluation && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "comparative-evaluation" agent skill from https://github.com/Owl-Listener/ai-design-skills/tree/main/skills/evaluation/comparative-evaluation into .cursor/skills/comparative-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "comparative-evaluation", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Owl-Listener/ai-design-skills.git --path skills/evaluation/comparative-evaluation--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Owl-Listener/ai-design-skills --skill comparative-evaluation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Owl-Listener/ai-design-skills comparative-evaluation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Owl-Listener/ai-design-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/evaluation/comparative-evaluation .gemini/skills/comparative-evaluation && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "comparative-evaluation" agent skill from https://github.com/Owl-Listener/ai-design-skills/tree/main/skills/evaluation/comparative-evaluation into .gemini/skills/comparative-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "comparative-evaluation", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Owl-Listener/ai-design-skills comparative-evaluationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Owl-Listener/ai-design-skills --skill comparative-evaluation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Owl-Listener/ai-design-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/evaluation/comparative-evaluation .github/skills/comparative-evaluation && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "comparative-evaluation" agent skill from https://github.com/Owl-Listener/ai-design-skills/tree/main/skills/evaluation/comparative-evaluation into .github/skills/comparative-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "comparative-evaluation", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Owl-Listener/ai-design-skills --skill comparative-evaluation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Owl-Listener/ai-design-skills comparative-evaluation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Owl-Listener/ai-design-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/evaluation/comparative-evaluation .opencode/skills/comparative-evaluation && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "comparative-evaluation" agent skill from https://github.com/Owl-Listener/ai-design-skills/tree/main/skills/evaluation/comparative-evaluation into .opencode/skills/comparative-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "comparative-evaluation", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
comparative-evaluation- GitHub stars
- 180
- Token cost
- ~614 tokens
- SKILL.md length
- 318 words
- Files
- 1
- Skills in repo
- 11
- Repo updated
- First seen
- Licence
- MIT
At a glance
A/B testing, side-by-side comparison, and preference ranking for AI outputs.
- Tasks that involve A/B testing
- SKILL.md covers Comparison Methods, Designing A/B Tests for AI, Side-by-Side Evaluation Design and When to Use Comparative vs.…, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Comparative Evaluation is an agent skill from Owl-Listener/ai-design-skills. A/B testing, side-by-side comparison, and preference ranking for AI outputs.
Its SKILL.md is about 610 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Marketing & SEO, covering A/B testing. The repository describes itself as: AI Design Skills Collection: agentic skills, commands, and plugins for designing AI products — from interaction patterns to alignment, evaluation, agent orchestration, and prompt… The licence is MIT.
When your agent uses it
- Tasks that involve A/B testing
Example prompts
- “/comparative-evaluation”
What it can do on your machine
Read from SKILL.md and the folder at commit f41b650. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Comparative Evaluation loads about 614 tokens when it runs. Until then it costs about 25 tokens; SKILL.md has 318 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from Owl-Listener/ai-design-skills at commit f41b650, republished under its MIT licence (© Owl-Listener). 318 words, ~614 tokens.
Download SKILL.mdSave it as
.claude/skills/comparative-evaluation/SKILL.md (or your agent's skills folder).- name
- comparative-evaluation
- description
- A/B testing, side-by-side comparison, and preference ranking for AI outputs.
Comparative Evaluation
Absolute quality scores are useful but limited. Comparative evaluation — putting outputs side by side and asking which is better — often reveals quality differences that rubrics miss.
Comparison Methods
- A/B testing: Show different users different versions and compare outcomes
- Side-by-side evaluation: Show evaluators two outputs for the same input and ask which is better
- Preference ranking: Show evaluators multiple outputs and rank them from best to worst
- Paired comparison: Compare every pair of options to build a complete ranking
- Elo rating: Use tournament-style comparisons to develop continuous quality scores
Designing A/B Tests for AI
A/B testing AI is different from A/B testing UI:
- Variance is high: The same prompt can produce different outputs, so you need more samples
- Context matters: The same change might help for one task and hurt for another
- Metrics lag: AI quality changes may take time to show up in user behavior
- Interaction effects: A change to one part of the conversation affects all subsequent parts Design A/B tests with:
- Sufficient sample sizes to account for output variance
- Segmentation by task type and user experience level
- Multiple metrics (don't optimise for one at the expense of others)
- Guardrails to catch severe quality regressions quickly
Side-by-Side Evaluation Design
For human evaluation of AI outputs:
- Blind evaluation: Evaluators shouldn't know which version is which
- Consistent inputs: Compare outputs generated from the same input
- Structured criteria: Give evaluators specific dimensions to compare on, not just "which is better"
- Multiple evaluators: Use at least 3 evaluators per comparison for reliability
- Diverse inputs: Test across a representative sample of real user inputs
When to Use Comparative vs. Absolute Evaluation
- Comparative: Best for choosing between alternatives, detecting subtle quality differences, and model selection
- Absolute: Best for measuring against a standard, tracking progress over time, and certification
Design Artefacts
- A/B test design templates
- Side-by-side evaluation protocols
- Evaluator instructions and rubrics
- Sample size calculators for AI experiments
- Comparison result analysis frameworks
© Owl-Listener, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/evaluation/comparative-evaluation of Owl-Listener/ai-design-skills.
Open the folder on GitHubat commit f41b650
Compare with similar skills
Comparative Evaluation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Comparative Evaluation this skillOwl-Listener/ai-design-skills | 180 | — | ~614 | Automated safety check: Pass | MIT | |
| AnalyticsNexus-JPF/note-companion | 869 | 6 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Ab Test Setupfreekmurze/dotfiles | 1k | 15 repos | ~1.8k | Automated safety check: Pass | None | |
| Ad Test Designeraaron-he-zhu/aaron-marketing-skills | 2.9k | 2 repos | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Ab TestingCesarjoquin/Marketing-Skills | 199 | 2 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Meta Tags Optimizernowork-studio/notfair-plugin | 3.9k | 1 repos | ~2.7k | Automated safety check: Pass | MIT |
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Ab Testing
Cesarjoquin/Marketing-Skills
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program.
Meta Tags Optimizer
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Writes and improves title tags, meta descriptions, Open Graph and Twitter card tags for click-through, with character counts and A/B test variants.
Ab Test Analyzer
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Statistical significance calculator for A/B test results with sample size requirements, segment breakdowns, and hypothesis generation.
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Related
Categories
Questions about Comparative Evaluation
What does Comparative Evaluation do?
A/B testing, side-by-side comparison, and preference ranking for AI outputs. Comparative Evaluation is an agent skill from Owl-Listener/ai-design-skills. A/B testing, side-by-side comparison, and preference ranking for AI outputs.
When should I use Comparative Evaluation?
Comparative Evaluation fits situations like: tasks that involve A/B testing.
How do I install Comparative Evaluation in Claude Code?
Run `npx skills add Owl-Listener/ai-design-skills --skill comparative-evaluation -a claude-code`. Or copy the skill folder (skills/evaluation/comparative-evaluation in Owl-Listener/ai-design-skills) into .claude/skills/comparative-evaluation in your project. Claude Code loads it when a task matches its description.
How do I install Comparative Evaluation in Codex?
Run `npx skills add Owl-Listener/ai-design-skills --skill comparative-evaluation -a codex`. Or copy the skill folder (skills/evaluation/comparative-evaluation in Owl-Listener/ai-design-skills) into .agents/skills/comparative-evaluation in your project. Codex loads it when a task matches its description.
Can I use Comparative Evaluation in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Owl-Listener/ai-design-skills --skill comparative-evaluation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/comparative-evaluation, .gemini/skills/comparative-evaluation, .github/skills/comparative-evaluation and .opencode/skills/comparative-evaluation in your project.
What does Comparative Evaluation need to run?
SKILL.md names no scripts, command-line tools or credentials: Comparative Evaluation is instructions for the agent only.
Does Comparative Evaluation access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Comparative Evaluation safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Comparative Evaluation use?
Comparative Evaluation is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Comparative Evaluation use?
About 614 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Comparative Evaluation?
Skills that share tags, products or a category with Comparative Evaluation: Analytics (Nexus-JPF/note-companion, 869 stars), Ab Test Setup (freekmurze/dotfiles, 1k stars), Ad Test Designer (aaron-he-zhu/aaron-marketing-skills, 2.9k stars) and Ab Testing (Cesarjoquin/Marketing-Skills, 199 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Comparative Evaluation?
Owl-Listener (a GitHub user) maintains it in Owl-Listener/ai-design-skills, which has 180 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on June 9, 2026.
Source: Owl-Listener/ai-design-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.