yolo-export SKILL.md skillA
yolo-export from ultralytics/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add ultralytics/skills/yolo-export@git:20261105.f8d5715Pins git:20261105.f8d5715 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- ultralytics/skills
- Path
skills/yolo-export/SKILL.md- Versions recorded
- 8
- Latest version
- git:20261105.f8d5715, committed Nov 5, 2026
- First version recorded
- Aug 11, 2026
- Size
- 12,948 bytes
- Repository stars
- 38
- License
- AGPL-3.0
Use when exporting or deploying Ultralytics YOLO models in Platform or code — the Platform Export tab and yolo export/model.export() for ONNX, TensorRT, CoreML, Core AI, OpenVINO, LiteRT, NCNN, ExecuTorch, and NPUs (RKNN, QNN, Hailo, Ascend, IMX, Axelera, DeepX, Xilinx), FP16/INT8 quantization, benchmarking, and non-Python runtimes. For inference with .pt weights or Platform endpoints, see yolo-inference.
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
# Export, quantization & deployment
## Fastest route: export in Platform
Open a completed model's **Export** tab, select a format, configure its arguments, and click **Start Export**. Platform runs CPU exports directly and asks for a target GPU where the format requires one (notably TensorRT); download the artifact when the job completes. For TensorRT, select the deployment device's GPU family or Jetson target; if its TensorRT/CUDA versions differ from the device's, export locally on that device instead.
Use Platform when you do not want to install each exporter toolchain locally. Use the Python/CLI path below for custom calibration, repeatable automation, local hardware builds, or immediate parity validation. See [Platform model export](https://docs.ultralytics.com/platform/train/models#export-model).
## Quickstart
```python
from ultralytics import YOLO
model = YOLO("runs/detect/train/weights/best.pt")
path = model.export(format="onnx") # returns the exported file/dir path
```
```bash
yolo export model=best.pt format=onnx
```
Exports load straight back into `YOLO()` for predict/val — same API:
```python
…Read the whole file at its exact version.
How to install
mdr add ultralytics/skills/yolo-export@sha256:e9d0b7a3b70965c6The line at the top of this page pins the label git:20261105.f8d5715, 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_odkflt4bs2lnosdq)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 8 versions of this file, between Aug 11, 2026 and Nov 5, 2026, about one every 12 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261105.f8d5715 latest | 2026-11-05 | f8d5715 | 12,948 B | A | view · diff |
| git:20261006.acfe53c | 2026-10-06 | acfe53c | 12,663 B | A | view · diff |
| git:20261006.e5cd7b8 | 2026-10-06 | e5cd7b8 | 12,458 B | A | view · diff |
| git:20260904.9c3b8ec | 2026-09-04 | 9c3b8ec | 11,517 B | A | view · diff |
| git:20260820.dcee0db | 2026-08-20 | dcee0db | 11,017 B | A | view · diff |
| git:20260814.05a799c | 2026-08-14 | 05a799c | 11,018 B | A | view · diff |
| git:20260811.e35dbcc | 2026-08-11 | e35dbcc | 10,750 B | A | view · diff |
| git:20260811.47343d9 | 2026-08-11 | 47343d9 | 9,989 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 (12948 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 · 38 stars · license AGPL-3.0 · pushed 2026-11-08 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_odkflt4bs2lnosdq GET https://markdownregistry.com/api/v1/resolve?ref=ultralytics/skills/yolo-export GET https://markdownregistry.com/api/v1/blob/e9d0b7a3b70965c683e690f57ffdad20b24a27d129a8be4d59ac33d00b5b1164
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.