yolo-inference SKILL.md skillA
yolo-inference 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-inference@git:20261108.5262f7cPins git:20261108.5262f7c 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-inference/SKILL.md- Versions recorded
- 9
- Latest version
- git:20261108.5262f7c, committed Nov 8, 2026
- First version recorded
- Aug 11, 2026
- Size
- 10,030 bytes
- Repository stars
- 38
- License
- AGPL-3.0
Use when testing, running, or deploying Ultralytics YOLO inference in Platform or code on images, video, webcams, or streams — Platform Predict and dedicated endpoints, model.predict()/yolo predict, Results API boxes/masks/keypoints, persistent tracking, annotated video, and Solutions such as counting, heatmaps, speed, queues, and parking. For optimized runtime exports, see yolo-export.
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
# Inference, Results API & tracking
## Fastest route: test and deploy in Platform
Every Platform model has a **Predict** tab: upload an image, choose an example, or capture a webcam frame; inference runs automatically and shows the task overlay, summary, raw JSON, and timing. Adjust `conf`, `iou`, and `imgsz` with the same meanings used below.
For production, open **Deploy**, choose a nearby region, and wait for the dedicated endpoint to become **Ready**. Its deployment page provides health, metrics, logs, a Predict panel, and ready-to-use Python/JavaScript/cURL examples. Call `/predict` with the deployment's bound API key as a bearer token:
```python
import requests
with open("image.jpg", "rb") as image_file:
response = requests.post(
"https://YOUR_DEPLOYMENT_URL.run.app/predict",
headers={"Authorization": "Bearer YOUR_API_KEY"},
files={"file": image_file},
data={"conf": 0.25, "iou": 0.5, "imgsz": 640},
)
response.raise_for_status()
print(response.json())
```
…Read the whole file at its exact version.
How to install
mdr add ultralytics/skills/yolo-inference@sha256:ebac281b2c095c6bThe line at the top of this page pins the label git:20261108.5262f7c, 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_vd24caijcoivq3ne)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 9 versions of this file, between Aug 11, 2026 and Nov 8, 2026, about one every 11 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261108.5262f7c latest | 2026-11-08 | 5262f7c | 10,030 B | A | view · diff |
| git:20261105.f8d5715 | 2026-11-05 | f8d5715 | 10,030 B | A | view · diff |
| git:20261006.acfe53c | 2026-10-06 | acfe53c | 9,914 B | A | view · diff |
| git:20261006.e5cd7b8 | 2026-10-06 | e5cd7b8 | 10,161 B | A | view · diff |
| git:20260904.9c3b8ec | 2026-09-04 | 9c3b8ec | 9,945 B | A | view · diff |
| git:20260820.dcee0db | 2026-08-20 | dcee0db | 9,804 B | A | view · diff |
| git:20260814.05a799c | 2026-08-14 | 05a799c | 9,806 B | A | view · diff |
| git:20260811.e35dbcc | 2026-08-11 | e35dbcc | 7,977 B | A | view · diff |
| git:20260811.47343d9 | 2026-08-11 | 47343d9 | 6,802 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 (10030 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_vd24caijcoivq3ne GET https://markdownregistry.com/api/v1/resolve?ref=ultralytics/skills/yolo-inference GET https://markdownregistry.com/api/v1/blob/ebac281b2c095c6bb466259c9372eb823a968924b93ab7c5886880813cba9796
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.