Agent skill

Yolo Master Agent

by Tencent in Tencent/YOLO-Master

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

AGPL-3.0Auto-check passedAI & LLM Engineering

Install Yolo Master Agent

skills CLI
$ npx skills add Tencent/YOLO-Master --skill yolo-master-agent -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Tencent/YOLO-Master yolo-master-agent --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Tencent/YOLO-Master.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agent .claude/skills/yolo-master-agent && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
yolo-master-agent
GitHub stars
745
Token cost
~755 tokens
SKILL.md length
289 words
Files
111 (incl. scripts, references, assets)
Skills in repo
1
Repo updated
First seen
Licence
AGPL-3.0

At a glance

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

  • Works in 3 steps: Ensure yolo CLI is available; install if… → Dispatch the task via… → Return structured artifacts, metrics,…
  • The user wants to run a YOLO-Master task (train/val/predict/track/export/benchmark)
  • SKILL.md covers Use This Skill, Execution Rule, Workflow and Validation, plus 2 more sections
  • Calls python and pip

What it does

Yolo Master Agent is an agent skill from Tencent/YOLO-Master. Use when the user wants to run a YOLO-Master task (train/val/predict/track/export/benchmark) or use the Agent Skill dispatcher.

Its SKILL.md is about 760 tokens, which your agent loads only when the skill is triggered. The skill folder holds 112 other files, including scripts, reference files and assets (for example `README.md`, `assets/autotrain_cases.json` and `assets/autotrain_cases/01_yolo_benchmark.json`).

It sits in AI & LLM Engineering, covering Computer vision. The repository describes itself as: [CVPR2026]🚀🚀🚀Official code for the paper "YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection." (YOLO = You Only Look Once) 🔥🔥🔥. The licence is AGPL-3.0.

When your agent uses it

  • The user wants to run a YOLO-Master task (train/val/predict/track/export/benchmark)
  • Use the Agent Skill dispatcher

Example prompts

  • “/yolo-master-agent”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Ensure yolo CLI is available; install if missing.
  2. Dispatch the task via run_yolo_master_skill.py with appropriate skill, inputs, and params.
  3. Return structured artifacts, metrics, and next actions from the dispatcher response.

What it can do on your machine

Read from SKILL.md and the folder at commit 85b5ef5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/, which the agent can run.

    Shell commands in SKILL.md call:

    • python
    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Yolo Master Agent loads about 755 tokens when it runs, and up to ~17k if it reads all its reference files. Until then it costs about 36 tokens; SKILL.md has 289 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~36
When it runs · the whole SKILL.md, loaded when a task matches
~755
With references · SKILL.md plus every file in references/, read only if the agent opens them
~17k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from Tencent/YOLO-Master at commit 85b5ef5, republished under its AGPL-3.0 licence (© Tencent). 289 words, ~755 tokens.

Download SKILL.mdSave it as .claude/skills/yolo-master-agent/SKILL.md (or your agent's skills folder). This skill also uses 110 other files; get the full folder from GitHub.
name
yolo-master-agent
description
Use when the user wants to run a YOLO-Master task (train/val/predict/track/export/benchmark) or use the Agent Skill dispatcher.

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.
  2. Dispatch the task via run_yolo_master_skill.py with appropriate skill, inputs, and params.
  3. Return structured artifacts, metrics, and next actions from the dispatcher response.

Validation

bash
python agent/scripts/validate_yolo_master_skill.py --suite quick --pretty --summary-only

quick = fast-smoke + dry-run + contract. Use --suite all for the full regression pass.

References

  • Skill architecture — skill registry, request/response contract, execution logic
  • Multimodal inference — VLM/LLM parameters, prompt templates, fusion, open-world taxonomy
  • Multimodal evaluation — batch evaluation, fusion guardrails, metric guardrails
  • AutoTrain loop — validator suites, case pack, tiered coverage
  • Pipeline & PEFT — pipeline experiments, release audit, LoRA diagnose, PEFT compare
  • Manual probes — extended CLI suite, direct train/val, environment doctor
  • Thinking with image — VLM visual reasoning, marked-image prompting, crop/zoom search
  • Open-world taxonomy assets in assets/open-world-taxonomy — LVIS 1203 and V3Det 13204 category lists

Guardrails

  • New Ultralytics CLI args must go through params dict, not as top-level dispatcher keys.
  • Consume evaluation in addition to metrics when judging train/val runs.
  • Prefer the recovery field over raw stderr when a run auto-falls back from MPS/CUDA to CPU.
  • Treat UI launchers and research scripts as launcher-style skills, not plain sync functions.

© Tencent, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 110 other files (scripts, references, assets) in agent of Tencent/YOLO-Master.

  • SKILL.md
  • README.md
  • assets/autotrain_cases.json
  • assets/autotrain_cases/01_yolo_benchmark.json
  • assets/autotrain_cases/02_yolo_export.json
  • assets/autotrain_cases/03_yolo_lora_train.json
  • assets/autotrain_cases/04_yolo_model_inspect.json
  • assets/autotrain_cases/05_yolo_moe_diagnose.json
  • assets/autotrain_cases/06_yolo_moe_prune.json
  • assets/autotrain_cases/07_yolo_multimodal_evaluate.json
  • assets/autotrain_cases/08_yolo_multimodal_infer.json
  • assets/autotrain_cases/09_yolo_pipeline_experiment.json
  • assets/autotrain_cases/10_yolo_predict.json
  • assets/autotrain_cases/11_yolo_solutions_run.json
  • assets/autotrain_cases/12_yolo_system.json
  • assets/autotrain_cases/13_yolo_track.json
  • assets/autotrain_cases/14_yolo_train.json
  • assets/autotrain_cases/15_yolo_tune.json
  • assets/autotrain_cases/16_yolo_ui_launch.json
  • … and 92 more

Open the folder on GitHubat commit 85b5ef5

Compare with similar skills

Yolo Master Agent next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Yolo Master Agent compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Yolo Master Agent this skillTencent/YOLO-Master745—~755Automated safety check: PassAGPL-3.0
Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs13k8 repos~3.3kAutomated safety check: PassMIT
CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs13k7 repos~1.7kAutomated safety check: PassMIT
Video Understandjjyaoao/HelloAgents3.2k1 repos~6.2kAutomated safety check: PassMIT
LLaVA Vision-Language ModelOrchestra-Research/AI-Research-SKILLs13k6 repos~2kAutomated safety check: PassMIT
Motioneyes Visual Analysisedwardsanchez/MotionEyes229—~2kAutomated safety check: PassNone

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Questions about Yolo Master Agent

What does Yolo Master Agent do?

A skill your agent uses when the user wants to run a YOLO-Master task (train/val/predict/track/export/benchmark) or use the Agent Skill dispatcher. Yolo Master Agent is an agent skill from Tencent/YOLO-Master. Use when the user wants to run a YOLO-Master task (train/val/predict/track/export/benchmark) or use the Agent Skill dispatcher.

When should I use Yolo Master Agent?

Yolo Master Agent fits situations like: the user wants to run a YOLO-Master task (train/val/predict/track/export/benchmark); use the Agent Skill dispatcher.

How do I install Yolo Master Agent in Claude Code?

Run `npx skills add Tencent/YOLO-Master --skill yolo-master-agent -a claude-code`. Or copy the skill folder (agent in Tencent/YOLO-Master) into .claude/skills/yolo-master-agent in your project. Claude Code loads it when a task matches its description.

How do I install Yolo Master Agent in Codex?

Run `npx skills add Tencent/YOLO-Master --skill yolo-master-agent -a codex`. Or copy the skill folder (agent in Tencent/YOLO-Master) into .agents/skills/yolo-master-agent in your project. Codex loads it when a task matches its description.

Can I use Yolo Master Agent in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Tencent/YOLO-Master --skill yolo-master-agent -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/yolo-master-agent, .gemini/skills/yolo-master-agent, .github/skills/yolo-master-agent and .opencode/skills/yolo-master-agent in your project.

What does Yolo Master Agent need to run?

Going by SKILL.md and its folder, Yolo Master Agent needs the command-line tools its instructions call (python and pip). Our summary lists: Python 3.

Does Yolo Master Agent access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Yolo Master Agent safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Yolo Master Agent use?

Yolo Master Agent is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Yolo Master Agent use?

About 755 tokens (SKILL.md is roughly 3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 17k tokens, read only when the agent opens those files.

What are the alternatives to Yolo Master Agent?

Skills that share tags, products or a category with Yolo Master Agent: Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars), CLIP Image-Text Matching (Orchestra-Research/AI-Research-SKILLs, 13k stars), Video Understand (jjyaoao/HelloAgents, 3.2k stars) and LLaVA Vision-Language Model (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Yolo Master Agent?

Tencent (a GitHub organization) maintains it in Tencent/YOLO-Master, which has 745 GitHub stars. The repository was last updated on October 9, 2026.

Source: Tencent/YOLO-Master on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.