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yolo-master-agent SKILL.md skillA

yolo-master-agent from tencent/yolo-master is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned

mdr add tencent/yolo-master/yolo-master-agent@git:20260915.20693b5

Pins git:20260915.20693b5 in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 17 of 17 checks passed
Kind: SKILL.md skill
Repository: tencent/yolo-master
Path: agent/SKILL.md
Versions recorded: 5
Latest version: git:20260915.20693b5, committed Sep 15, 2026
First version recorded: May 14, 2026
Size: 3,035 bytes
Repository stars: 775
License: AGPL-3.0

Use when the user wants to run a YOLO-Master task (train/val/predict/track/export/benchmark) or use the Agent Skill dispatcher.

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

# YOLO-Master Agent Skill

## Use This Skill

- `train`, `val`, `predict`, `track`, `export`, `benchmark`, `tune`
- LoRA diagnose, PEFT compare, MoE diagnose/prune
- Multimodal visual inference and batch evaluation
- End-to-end orchestration via `yolo.pipeline.experiment`

## Execution Rule

If `yolo version` fails, run `pip install -e .` first. Prefer the `yolo` CLI over raw Python API for supported commands. Use the bundled dispatcher for deterministic, structured runs:

```bash
python agent/scripts/run_yolo_master_skill.py --json '{"skill":"yolo.train","inputs":{"model":"yolo11n.pt","data":"coco8.yaml"},"params":{"epochs":1,"imgsz":32}}'
```

On Apple Silicon, the dispatcher defaults heavy compute (`train`, `val`, `benchmark`, `predict`, `track`) to `device=mps`. Override with `runtime.device` or `params.device`. If MPS/CUDA fails, the dispatcher retries once on CPU and returns a `recovery` record.

Use `policy.dry_run=true` for cheap coverage before real runs. For long jobs, set `policy.async=true` on train/tune/pipeline to submit a subprocess job.

## Workflow

1. Ensure `yolo` CLI is available; install if missing.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add tencent/yolo-master/yolo-master-agent@sha256:51982cd4cc24bb38

The line at the top of this page pins the label git:20260915.20693b5, 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.

Badge

[![mdr](https://markdownregistry.com/badge/art_4bscaltnpevorr7s.svg)](https://markdownregistry.com/a/art_4bscaltnpevorr7s)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between May 14, 2026 and Sep 15, 2026, about one every 31 days.

version	committed	commit	size	audit
git:20260915.20693b5 latest	2026-09-15	20693b5	3,035 B	A	view · diff
git:20260725.6e0d5f8	2026-07-25	6e0d5f8	23,933 B	A	view · diff
git:20260521.94d25ab	2026-05-21	94d25ab	21,443 B	A	view · diff
git:20260514.d0fb036	2026-05-14	d0fb036	21,277 B	A	view · diff
git:20260514.4abe2dc	2026-05-14	4abe2dc	19,413 B	A	view

Audit of the latest version

A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the 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 (3035 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

tencent/yolo-master · 775 stars · license AGPL-3.0 · pushed 2026-10-27 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_4bscaltnpevorr7s
GET https://markdownregistry.com/api/v1/resolve?ref=tencent/yolo-master/yolo-master-agent
GET https://markdownregistry.com/api/v1/blob/51982cd4cc24bb3800ffbfa427ce82aaf7b4204eba52fd282cc284628810745c

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.