Agent skill

Advanced Evaluation

by aiskillstore in aiskillstore/marketplace

This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise…

No licenceAuto-check passedEducation

Install Advanced Evaluation

skills CLI
$ npx skills add aiskillstore/marketplace --skill advanced-evaluation -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aiskillstore/marketplace advanced-evaluation --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/chakshugautam/advanced-evaluation .claude/skills/advanced-evaluation && rm -rf skills-src

Use ~/.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/

Facts

Skill name
advanced-evaluation
GitHub stars
430
Used in
4 other repos
Token cost
~4.2k tokens
SKILL.md length
1,198 words
Files
6 (incl. scripts, references)
Skills in repo
1,108
Repo updated
First seen
Licence
None found

At a glance

This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise…

  • Works in 4 steps: First pass: Response A in first… → Second pass: Response B in first… → Consistency check: If passes disagree,… → …
  • Asks to implement LLM-as-judge
  • SKILL.md covers When to Activate, Core Concepts, Evaluation Approaches and Practical Guidance, plus 5 more sections
  • Runs Python scripts from its folder

What it does

Advanced Evaluation is an agent skill from aiskillstore/marketplace. This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quality assessment.

Its SKILL.md is about 4.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `references/bias-mitigation.md`, `references/implementation-patterns.md` and `references/metrics-guide.md`).

It sits in Education, covering Quizzes and assessments and LLM evaluation. The repository describes itself as: Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified.

When your agent uses it

  • Asks to implement LLM-as-judge
  • Compare model outputs
  • Create evaluation rubrics
  • Mitigate evaluation bias

Example prompts

  • “implement LLM-as-judge”
  • “compare model outputs”
  • “create evaluation rubrics”
  • “/advanced-evaluation”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. First pass: Response A in first position, Response B in second
  2. Second pass: Response B in first position, Response A in second
  3. Consistency check: If passes disagree, return TIE with reduced confidence
  4. Final verdict: Consistent winner with averaged confidence

What it can do on your machine

Read from SKILL.md and the folder at commit ad8daf7. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • arxiv.org
    • eugeneyan.com

    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

Advanced Evaluation loads about 4.2k tokens when it runs, and up to ~11k if it reads all its reference files. Until then it costs about 74 tokens; SKILL.md has 1,198 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~74
When it runs · the whole SKILL.md, loaded when a task matches
~4.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~11k

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); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 1,198 words (~4,171 tokens).

“This skill covers production-grade techniques for evaluating LLM outputs using LLMs as judges. It synthesizes research from academic papers, industry practices, and practical implementation experience into actionable patterns for building reliable evaluation systems.”

— opening of SKILL.md by aiskillstore
name
advanced-evaluation

Read the full SKILL.md on GitHub

Files

SKILL.md and 5 other files (scripts, references) in skills/chakshugautam/advanced-evaluation of aiskillstore/marketplace.

  • SKILL.md
  • references/bias-mitigation.md
  • references/implementation-patterns.md
  • references/metrics-guide.md
  • scripts/evaluation_example.py
  • skill-report.json

Open the folder on GitHubat commit ad8daf7

Used in 4 other repositories

We found 22 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 4 other GitHub owners. This page covers the copy in aiskillstore/marketplace, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Advanced 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.

Advanced Evaluation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Advanced Evaluation this skillaiskillstore/marketplace4304 repos~4.2kAutomated safety check: PassNone
Woo AI Smokewoocommerce/woocommerce-ios3581 repos~7.4kAutomated safety check: NotesGPL-2.0
Design AI BenchmarkingAperivue/medsci-skills329—~2.4kAutomated safety check: PassMIT
Agentic Evaluation Frameworkborghei/Claude-Skills881—~1.9kAutomated safety check: PassMIT
Quality Reportindranilbanerjee/digital-marketing-pro8551 repos~2.5kAutomated safety check: PassMIT
AI Eval Planmohitagw15856/pm-claude-skills1.4k—~996Automated safety check: PassMIT

Similar skills

  • Woo AI Smoke

    woocommerce/woocommerce-ios

    Evaluate WooAIAssistant against a structured scenario suite with hard invariants + LLM-as-judge rubric scoring.

    358 GitHub starsUsed in 1 repo~7.4k tokens
    EducationAuto-check: notes
  • Design AI Benchmarking

    Aperivue/medsci-skills

    A skill your agent uses when designing a study that benchmarks AI systems against a human-expert panel, before data collection.

    329 GitHub stars~2.4k tokensUpdated 3 days ago
    EducationAuto-check passed
  • Agentic Evaluation Framework

    borghei/Claude-Skills

    This skill should be used when the user asks to "evaluate LLM output quality", "set up LLM-as-judge", "build an eval rubric", "compare model outputs pairwise", or "measure agent quality".

    881 GitHub stars~1.9k tokensUpdated yesterday
    EducationAuto-check passed
  • Quality Report

    indranilbanerjee/digital-marketing-pro

    Report content-quality trends over time from logged evaluations: weekly score trend charts, a content-type leaderboard, per-dimension performance breakdown, statistically flagged regression alerts…

    855 GitHub starsUsed in 1 repo~2.5k tokens
    EducationAuto-check passed
  • AI Eval Plan

    mohitagw15856/pm-claude-skills

    Design an evaluation plan for an LLM or AI feature before shipping it.

    1.4k GitHub stars~996 tokensUpdated yesterday
    EducationAuto-check passed
  • Task Creator

    benchflow-ai/benchflow

    SkillsBench task authoring — walk a contributor from idea to submission-ready task following CONTRIBUTING.md and the task-implementation rubric.

    353 GitHub stars~4.5k tokensUpdated 2 days ago
    EducationAuto-check passed

More from aiskillstore/marketplace

All 1,108 skills in this repo
  • Code Stats

    aiskillstore/marketplace

    Analyze codebase with tokei (fast line counts by language) and difft (semantic AST-aware diffs).

    430 GitHub starsUsed in 2 repos~697 tokens
    Auto-check: notes
  • File Search

    aiskillstore/marketplace

    Modern file and content search using fd, ripgrep (rg), and fzf.

    430 GitHub starsUsed in 2 repos~598 tokens
    Auto-check: notes
  • Data Processing

    aiskillstore/marketplace

    Process JSON with jq and YAML/TOML with yq. An agent skill from aiskillstore/marketplace.

    430 GitHub starsUsed in 1 repo~720 tokens
    Auto-check: notes
  • Doc Scanner

    aiskillstore/marketplace

    Scans for project documentation files (AGENTS.md, CLAUDE.md, GEMINI.md, COPILOT.md, CURSOR.md, WARP.md, and 15+ other formats) and synthesizes guidance.

    430 GitHub starsUsed in 1 repo~644 tokens
    Auto-check: notes
  • Find Replace

    aiskillstore/marketplace

    Modern find-and-replace using sd (simpler than sed) and batch replacement patterns.

    430 GitHub starsUsed in 1 repo~527 tokens
    Auto-check: notes
  • Investigating Codebases

    aiskillstore/marketplace

    Automatically activated when user asks how something works, wants to understand unfamiliar code, needs to explore a new codebase, or asks questions like "where is X implemented?", "how does Y…

    430 GitHub starsUsed in 1 repo~2.7k tokens
    Auto-check: notes

Questions about Advanced Evaluation

What does Advanced Evaluation do?

This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise…. Advanced Evaluation is an agent skill from aiskillstore/marketplace. This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quality assessment.

When should I use Advanced Evaluation?

Advanced Evaluation fits situations like: asks to implement LLM-as-judge; compare model outputs; create evaluation rubrics; mitigate evaluation bias.

How do I install Advanced Evaluation in Claude Code?

Run `npx skills add aiskillstore/marketplace --skill advanced-evaluation -a claude-code`. Or copy the skill folder (skills/chakshugautam/advanced-evaluation in aiskillstore/marketplace) into .claude/skills/advanced-evaluation in your project. Claude Code loads it when a task matches its description.

How do I install Advanced Evaluation in Codex?

Run `npx skills add aiskillstore/marketplace --skill advanced-evaluation -a codex`. Or copy the skill folder (skills/chakshugautam/advanced-evaluation in aiskillstore/marketplace) into .agents/skills/advanced-evaluation in your project. Codex loads it when a task matches its description.

Can I use Advanced 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 aiskillstore/marketplace --skill advanced-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/advanced-evaluation, .gemini/skills/advanced-evaluation, .github/skills/advanced-evaluation and .opencode/skills/advanced-evaluation in your project.

What does Advanced Evaluation need to run?

Going by SKILL.md and its folder, Advanced Evaluation needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Advanced Evaluation access the network?

SKILL.md names 2 domains. As links in the text: arxiv.org and eugeneyan.com. This is read from the text; nothing was executed.

Is Advanced 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Advanced Evaluation use?

No licence was found for Advanced Evaluation or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Advanced Evaluation use?

About 4.2k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 6.9k tokens, read only when the agent opens those files.

What are the alternatives to Advanced Evaluation?

Skills that share tags, products or a category with Advanced Evaluation: Woo AI Smoke (woocommerce/woocommerce-ios, 358 stars), Design AI Benchmarking (Aperivue/medsci-skills, 329 stars), Agentic Evaluation Framework (borghei/Claude-Skills, 881 stars) and Quality Report (indranilbanerjee/digital-marketing-pro, 855 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Advanced Evaluation?

aiskillstore (a GitHub organization) maintains it in aiskillstore/marketplace, which has 430 GitHub stars. The repository holds 1,108 skills in this directory. The repository was last updated on October 7, 2026.

Source: aiskillstore/marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.