design-ai-benchmarking SKILL.md skillA
design-ai-benchmarking from aperivue/medsci-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add aperivue/medsci-skills/design-ai-benchmarking@git:20260930.c8ed96cPins git:20260930.c8ed96c in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- aperivue/medsci-skills
- Path
skills/design-ai-benchmarking/SKILL.md- Versions recorded
- 5
- Latest version
- git:20260930.c8ed96c, committed Sep 30, 2026
- First version recorded
- Jun 5, 2026
- Size
- 9,627 bytes
- Repository stars
- 366
- License
- MIT
Use when designing a study that benchmarks AI systems against a human-expert panel, before data collection. Plans the arms, decoupled rubrics with anchors, planted calibration probes, reviewer panel, inter-rater reliability targets and LLM-as-judge versus human adjudication.
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
# Design-AI-Benchmarking Skill ## Standard Output ```text ## AI-Benchmark Design Review Evaluation question: ... Arms / systems compared: ... Reference (human-expert panel): ... Unit of rating: (item / case / output) ### Rubric (decoupled dimensions) - dimension -> construct -> anchors (1..k) ### Calibration probes (blinded, randomized) - positive-control / known-bad / instability / mechanism-contradiction ### Reviewer panel - n reviewers, metadata captured, per-reviewer randomized order ### Reliability plan - IRR target on the anchor set of real items (ICC form + 95% CI) + control-item hit rate (a competence check, reported separately) ### Judge strategy - human-as-judge / LLM-as-judge / both + adjudication rule ### Validity risks 1. ... ### Minimal fixes - ... ### Decision - Ready to collect / Needs rubric revision / Needs arm or judge redesign ``` Reviewer ratings, reference labels, probe outcomes and agreement statistics come only from collected rating records. Never invent them: a reported ICC, kappa or score with no underlying rating record is the failure this skill exists to prevent. Cite a reference only with a `/search-lit`-confirmed DOI or …
Read the whole file at its exact version.
How to install
mdr add aperivue/medsci-skills/design-ai-benchmarking@sha256:fb18e9acb611a511The line at the top of this page pins the label git:20260930.c8ed96c, 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_6jwjb34n77rpx3ix)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Jun 5, 2026 and Sep 30, 2026, about one every 29 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260930.c8ed96c latest | 2026-09-30 | c8ed96c | 9,627 B | A | view · diff |
| git:20260930.30387c2 | 2026-09-30 | 30387c2 | 8,326 B | A | view · diff |
| git:20260930.913abeb | 2026-09-30 | 913abeb | 8,583 B | A | view · diff |
| git:20260625.92ee046 | 2026-06-25 | 92ee046 | 12,094 B | A | view · diff |
| git:20260605.041597a | 2026-06-05 | 041597a | 10,820 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 (9627 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
aperivue/medsci-skills · 366 stars · license MIT · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_6jwjb34n77rpx3ix GET https://markdownregistry.com/api/v1/resolve?ref=aperivue/medsci-skills/design-ai-benchmarking GET https://markdownregistry.com/api/v1/blob/fb18e9acb611a51132e25f4f8690ea61138c424ebdda5a18ea32da5c0cfb99d7
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.