model-assessment SKILL.md skillA
model-assessment 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/model-assessment@git:20261003.5e119f6Pins git:20261003.5e119f6 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/model-assessment/SKILL.md- Versions recorded
- 7
- Latest version
- git:20261003.5e119f6, committed Oct 3, 2026
- First version recorded
- Sep 30, 2026
- Size
- 18,064 bytes
- Repository stars
- 366
- License
- MIT
Use when validating or evaluating a trained medical-imaging model. Audits split leakage and validation design, computes task-correct held-out metrics (Dice + HD95, AUROC + AUPRC, FROC, calibration), and covers uncertainty/OOD and Grad-CAM explainability, each with a gate.
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
# Model-Assessment Skill Assess a trained medical-imaging model (in-house, vendor or open-weights; segmentation, classification or detection) in the order the evidence is built: **Part A** designs and audits the validation study, **Part B** computes task-correct held-out metrics, **Part C** adds the uncertainty / OOD / abstention layer a deployment claim needs, and **Part D** makes an explainability analysis survive review. Run the parts the request needs (a Grad-CAM question starts at Part D), but no metric headline is reported before the Part A split gate is green. Each part ends in a stdlib gate whose verdict is reproduced from a file — never report a pass without running it. Numbers come only from code executed on the supplied predictions, split table, or the researcher's executed UQ/XAI code; if predictions or ground truth are missing, say so and stop. Integrate MONAI / nnU-Net, MAPIE, captum, pytorch-grad-cam and pretrained OOD scorers by reference — never reimplement them, never build or train the model, never run a model on real patient data. Elsewhere: building/training → `/model-scaffold`; choosing or vetting the model → …
Read the whole file at its exact version.
How to install
mdr add aperivue/medsci-skills/model-assessment@sha256:cfb3fcd9c4083ce1The line at the top of this page pins the label git:20261003.5e119f6, 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_t4c7mmh2jyfzngfy)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 7 versions of this file, between Sep 30, 2026 and Oct 3, 2026, more than one a day.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261003.5e119f6 latest | 2026-10-03 | 5e119f6 | 18,064 B | A | view · diff |
| git:20261003.b4beffb | 2026-10-03 | b4beffb | 17,936 B | A | view · diff |
| git:20261003.eba7d8b | 2026-10-03 | eba7d8b | 17,856 B | A | view · diff |
| git:20261003.9b44338 | 2026-10-03 | 9b44338 | 17,741 B | A | view · diff |
| git:20260930.c8ed96c | 2026-09-30 | c8ed96c | 16,822 B | A | view · diff |
| git:20260930.30387c2 | 2026-09-30 | 30387c2 | 15,291 B | A | view · diff |
| git:20260930.e4f475f | 2026-09-30 | e4f475f | 15,352 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 (18064 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_t4c7mmh2jyfzngfy GET https://markdownregistry.com/api/v1/resolve?ref=aperivue/medsci-skills/model-assessment GET https://markdownregistry.com/api/v1/blob/cfb3fcd9c4083ce13e08466b8d9557631a150f11d32c446b5a8413cf822d9340
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.