advanced-evaluation SKILL.md skillA

advanced-evaluation from sickn33/agentic-awesome-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add sickn33/agentic-awesome-skills/advanced-evaluation@git:20261013.128d40a

Pins git:20261013.128d40a in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
sickn33/agentic-awesome-skills
Path
plugins/agentic-awesome-skills-claude/skills/advanced-evaluation/SKILL.md
Versions recorded
2
Latest version
git:20261013.128d40a, committed Oct 13, 2026
First version recorded
Jul 8, 2026
Size
17,028 bytes
Repository stars
49,071
License
MIT

Design LLM-as-judge rubrics, direct scores and pairwise comparisons. Use for judge models, evals, position bias and calibration against human labels.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Advanced Evaluation

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.

**Key insight**: LLM-as-a-Judge is not a single technique but a family of approaches, each suited to different evaluation contexts. Choosing the right approach and mitigating known biases is the core competency this skill develops.

## When to Use
Activate this skill when:

- Building automated evaluation pipelines for LLM outputs
- Comparing multiple model responses to select the best one
- Establishing consistent quality standards across evaluation teams
- Debugging evaluation systems that show inconsistent results
- Designing A/B tests for prompt or model changes
- Creating rubrics for human or automated evaluation
- Analyzing correlation between automated and human judgments

## Core Concepts

### The Evaluation Taxonomy

Evaluation approaches fall into two primary categories with distinct reliability profiles:

**Direct Scoring**: A single LLM rates one response on a defined scale.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add sickn33/agentic-awesome-skills/advanced-evaluation@sha256:d8d95c65eb448780

The line at the top of this page pins the label git:20261013.128d40a, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_3ve6ob4bg5s3z4xt.svg)](https://markdownregistry.com/a/art_3ve6ob4bg5s3z4xt)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Jul 8, 2026 and Oct 13, 2026, about one every 97 days.

versioncommittedcommitsizeaudit
git:20261013.128d40a latest2026-10-13 128d40a 17,028 BA view · diff
git:20260708.a07936c2026-07-08 a07936c 17,839 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (17028 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

sickn33/agentic-awesome-skills · 49,071 stars · license MIT · pushed 2026-11-03 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_3ve6ob4bg5s3z4xt
GET https://markdownregistry.com/api/v1/resolve?ref=sickn33/agentic-awesome-skills/advanced-evaluation
GET https://markdownregistry.com/api/v1/blob/d8d95c65eb448780fead495dd49b5f88239cd17e0a72f5d9eaeb4c54f9e3a14a

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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