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yolo-master-agent

yolo-master-agent is a skill for Claude Code, Codex from Tencent/YOLO-Master. It costs 37 tokens per session (748 once invoked), scanned A, original, AGPL-3.0.

A skill for working with YOLO-Master and Ultralytics, tools for training and evaluating computer-vision models that detect or classify images.

In plain words
What is it for?
Use it to train, validate, predict, inspect, benchmark, tune, export, or coordinate YOLO-Master and Ultralytics experiments, including LoRA, MoE, and multimodal workflows.
Why use it?
It gathers the repository's supported experiment workflows in one place, including training, testing, tracking, and orchestration tasks.

Skill for Claude CodeCodex ✓ vendor

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

not rated 768repo +10 changed 1mo ago A scan SkillSpector: warn 37 tokens AGPL-3.0

Good fit Use it to train, validate, predict, inspect, benchmark, tune, export, or coordinate YOLO-Master and Ultralytics experiments, including LoRA, MoE, and multimodal workflows.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tencent/yolo-master/agent
View source ↗ Tencent/YOLO-Master tencent.github.io
About the project

Tencent YOLO-Master is a YOLO-style computer-vision framework for real-time object detection that uses specialized transformers and mixture-of-experts routing. It is intended for detecting objects in general datasets while adapting computation to the complexity of each input. The catalogue entries provide instructions and a skill for working with the framework.

Tencent/YOLO-Master · 768 stars · on GitHub · tencent.github.io

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Tencent/YOLO-Master --skill agent
Clone the repo
git clone --depth 1 https://github.com/Tencent/YOLO-Master

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for yolo-master-agent

README.md
[![agentmods](https://agentmods.dev/badge/skills/tencent/yolo-master/agent/github.svg)](https://agentmods.dev/skills/tencent/yolo-master/agent)
Your own site
<a href="https://agentmods.dev/skills/tencent/yolo-master/agent"><img src="https://agentmods.dev/badge/skills/tencent/yolo-master/agent/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for yolo-master-agent

Your own site · 80×15
<a href="https://agentmods.dev/skills/tencent/yolo-master/agent"><img src="https://agentmods.dev/badge/skills/tencent/yolo-master/agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 748 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Privilege Escalation · line 212
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
How audits are shown
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00037 $0.00748
Opus 5.5 $0.00015 $0.00299
Sonnet 5.5 $0.00007 $0.00150
Haiku 4.5 $0.00004 $0.00075

Measured 1mo ago against content hash 51982cd4cc24, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

yolo-master-agent scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

The scan reads SKILL.md. This mod also ships 11 executable files (runtime/__init__.py, runtime/cli/__init__.py, runtime/cli/async_jobs.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

agent/SKILL.md · 58 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago Changed · -254 lines · -23 tokens per session 51982cd4cc24
  2. 1mo ago First seen · 312 lines · 60 tokens per session scan A 0a54e64e33ed

Subscribe to this mod's changes

yolo-master-agent is a skill published in the GitHub repository Tencent/YOLO-Master (768 stars, last pushed 3d ago), licensed AGPL-3.0. It adds 37 tokens to every session and 748 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Data and AIScientificclassificationdetectionmoesegmentationyolo
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