yolo-models skillA
yolo-models is agent-read markdown (skill) from ultralytics/skills: Use when choosing or comparing Ultralytics models in Platform or code — picking a model family (YOLO26/YOLO11/YOLOv8, YOLO-World, YOLOE, SAM/SAM2/FastSAM, RT-DETR, YOLO-NAS), size (n/s/m/l/x), task variant (-seg, -sem, -cls, -pose, -obb, -depth), pretrained checkpoint, open-vocabulary or promptable detection/segmentation, or custom architecture. Covers Platform Explore/model flows, weight names and availability, selection guidance, and family trade-offs..
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.
What the file says
# Choosing an Ultralytics model **Default recommendation: YOLO26, pretrained.** Latest generation, NMS-free end-to-end (fastest CPU inference, simplest deployment). Use YOLO11/YOLOv8 only to match an existing codebase or a deployment target that doesn't support YOLO26 yet. Most official weights auto-download on first use; `sam3.pt` requires manual access and download. ## Choose in Platform For the quickest no-code start, open [Platform Explore](https://platform.ultralytics.com/explore), select **Projects**, clone the official `@ultralytics` project for the model family, then train one of its pretrained models on your dataset. The **New Model** dialog filters base models to the selected dataset task and offers official models plus your own completed checkpoints for further fine-tuning. Use a Platform model page to inspect metrics, test it in **Predict**, export it, deploy it, clone it into another project, or download its `.pt` weights for the Python/CLI workflows below. See [Platform Models](https://docs.ultralytics.com/platform/train/models) and [Explore](https://docs.ultralytics.com/platform/explore). ## Model = family + size + task suffix …
Read the whole file at its exact version.
How to install
mdr add ultralytics/skills/yolo-models@git:20260904.9c3b8ecmdr add ultralytics/skills/yolo-models@sha256:917364ce6527123ePin 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.
[](https://markdownregistry.com/a/art_3yaibiqrkxzcm5n4)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260904.9c3b8ec latest | 2026-09-04 | 9c3b8ec | 7,845 B | A | view · diff |
| git:20260820.dcee0db | 2026-08-20 | dcee0db | 7,795 B | A | view · diff |
| git:20260814.05a799c | 2026-08-14 | 05a799c | 7,797 B | A | view · diff |
| git:20260811.e35dbcc | 2026-08-11 | e35dbcc | 7,630 B | A | view · diff |
| git:20260811.47343d9 | 2026-08-11 | 47343d9 | 6,889 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 (7845 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
ultralytics/skills · 25 stars · license AGPL-3.0 · pushed 2026-09-24 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_3yaibiqrkxzcm5n4 GET https://markdownregistry.com/api/v1/resolve?ref=ultralytics/skills/yolo-models GET https://markdownregistry.com/api/v1/blob/917364ce6527123eed55b4bfaf6a453379f925c01ec9bf23ae9f50c5d6de2421
Your agent 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.