advanced-evaluation SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
advanced-evaluation from francostino/opencode-skills-collection is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add francostino/opencode-skills-collection/advanced-evaluation@git:20261014.4e5e06dPins git:20261014.4e5e06d in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- francostino/opencode-skills-collection
- Path
bundled-skills/advanced-evaluation/SKILL.md- Versions recorded
- 4
- Latest version
- git:20261014.4e5e06d, committed Oct 14, 2026
- First version recorded
- Mar 19, 2026
- Size
- 17,028 bytes
- Repository stars
- 87
- 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
mdr add francostino/opencode-skills-collection/advanced-evaluation@sha256:d8d95c65eb448780The line at the top of this page pins the label git:20261014.4e5e06d, 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.
[](https://markdownregistry.com/a/art_k6azfe7s7ufing27)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Mar 19, 2026 and Oct 14, 2026, about one every 69 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261014.4e5e06d latest | 2026-10-14 | 4e5e06d | 17,028 B | A | view · diff |
| git:20260413.f8e0038 | 2026-04-13 | f8e0038 | 17,839 B | A | view · diff |
| git:20260320.f3d5578 | 2026-03-20 | f3d5578 | 17,521 B | A | view · diff |
| git:20260319.8dc2438 | 2026-03-19 | 8dc2438 | 17,527 B | A | view |
Audit of the latest version
- 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
francostino/opencode-skills-collection · 87 stars · license MIT · pushed 2026-10-18 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_k6azfe7s7ufing27 GET https://markdownregistry.com/api/v1/resolve?ref=francostino/opencode-skills-collection/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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