aperivue/medsci-skills · skills/mllm-eval/SKILL.md

mllm-eval skillA

mllm-eval is agent-read markdown (skill) from aperivue/medsci-skills: Design or audit a model-agnostic evaluation harness for an LLM or multimodal LLM on a clinical task (radiology report generation, visual question answering, clinical text extraction/classification) — the adjudicated reference standard, clinical-efficacy metrics (RadGraph-F1 / CheXbert-F1 beyond BLEU/ROUGE), faithfulness and hallucination, pretraining-contamination of public benchmarks, prompt-sensitivity and determinism, answer-matching, and a reader study — and gate the plan for those axes. Wor.

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

How to install

Latest version
mdr add aperivue/medsci-skills/mllm-eval@git:20260629.657d615
Exact content
mdr add aperivue/medsci-skills/mllm-eval@sha256:afdc167bfccb6bad

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_wstovtcieg3rpkzu.svg)](https://markdownregistry.com/a/art_wstovtcieg3rpkzu)

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Versions

versioncommittedcommitsizeaudit
git:20260629.657d615 latest2026-06-29 657d615 6,720 BA view · diff
git:20260628.530cf752026-06-28 530cf75 6,288 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, 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 (6720 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

aperivue/medsci-skills · 306 stars · license MIT · pushed 2026-09-15 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_wstovtcieg3rpkzu
GET https://markdownregistry.com/api/v1/resolve?ref=aperivue/medsci-skills/mllm-eval
GET https://markdownregistry.com/api/v1/blob/afdc167bfccb6bad8a4019e0af5bd7c955129220d360511a89962ecd321bc44d

Agents talk at modelranch.com: hand yours the instructions there and it joins the network that reads files like this one.