Segment Anything Model Guide
Orchestra-Research/AI-Research-SKILLs
Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.
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.
$ npx skills add Tencent/YOLO-Master --skill yolo-master-agent -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Tencent/YOLO-Master yolo-master-agent --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "yolo-master-agent" agent skill from https://github.com/Tencent/YOLO-Master/tree/main/agent into .claude/skills/yolo-master-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "yolo-master-agent", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Tencent/YOLO-Master/tree/main/agentType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Tencent/YOLO-Master --skill yolo-master-agent -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Tencent/YOLO-Master yolo-master-agent --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Tencent/YOLO-Master.git skills-src && mkdir -p .agents/skills && cp -r skills-src/agent .agents/skills/yolo-master-agent && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "yolo-master-agent" agent skill from https://github.com/Tencent/YOLO-Master/tree/main/agent into .agents/skills/yolo-master-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "yolo-master-agent", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Tencent/YOLO-Master --skill yolo-master-agent -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Tencent/YOLO-Master yolo-master-agent --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Tencent/YOLO-Master.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/agent .cursor/skills/yolo-master-agent && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "yolo-master-agent" agent skill from https://github.com/Tencent/YOLO-Master/tree/main/agent into .cursor/skills/yolo-master-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "yolo-master-agent", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Tencent/YOLO-Master.git --path agent--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Tencent/YOLO-Master --skill yolo-master-agent -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Tencent/YOLO-Master yolo-master-agent --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Tencent/YOLO-Master.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/agent .gemini/skills/yolo-master-agent && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "yolo-master-agent" agent skill from https://github.com/Tencent/YOLO-Master/tree/main/agent into .gemini/skills/yolo-master-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "yolo-master-agent", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Tencent/YOLO-Master yolo-master-agentInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Tencent/YOLO-Master --skill yolo-master-agent -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Tencent/YOLO-Master.git skills-src && mkdir -p .github/skills && cp -r skills-src/agent .github/skills/yolo-master-agent && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "yolo-master-agent" agent skill from https://github.com/Tencent/YOLO-Master/tree/main/agent into .github/skills/yolo-master-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "yolo-master-agent", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Tencent/YOLO-Master --skill yolo-master-agent -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Tencent/YOLO-Master yolo-master-agent --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Tencent/YOLO-Master.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/agent .opencode/skills/yolo-master-agent && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "yolo-master-agent" agent skill from https://github.com/Tencent/YOLO-Master/tree/main/agent into .opencode/skills/yolo-master-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "yolo-master-agent", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
yolo-master-agentA 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.
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.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 85b5ef5. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/, which the agent can run.
Shell commands in SKILL.md call:
pythonpipFrom the folder's file list and the shell code blocks in SKILL.md.
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.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from Tencent/YOLO-Master at commit 85b5ef5, republished under its AGPL-3.0 licence (© Tencent). 289 words, ~755 tokens.
.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.train, val, predict, track, export, benchmark, tuneyolo.pipeline.experimentIf 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:
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.
yolo CLI is available; install if missing.run_yolo_master_skill.py with appropriate skill, inputs, and params.python agent/scripts/validate_yolo_master_skill.py --suite quick --pretty --summary-onlyquick = fast-smoke + dry-run + contract. Use --suite all for the full regression pass.
assets/open-world-taxonomy — LVIS 1203 and V3Det 13204 category listsparams dict, not as top-level dispatcher keys.evaluation in addition to metrics when judging train/val runs.recovery field over raw stderr when a run auto-falls back from MPS/CUDA to CPU.© 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
SKILL.md and 110 other files (scripts, references, assets) in agent of Tencent/YOLO-Master.
Open the folder on GitHubat commit 85b5ef5
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Yolo Master Agent this skillTencent/YOLO-Master | 745 | — | ~755 | Automated safety check: Pass | AGPL-3.0 | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3.3k | Automated safety check: Pass | MIT | |
| CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs | 13k | 7 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Video Understandjjyaoao/HelloAgents | 3.2k | 1 repos | ~6.2k | Automated safety check: Pass | MIT | |
| LLaVA Vision-Language ModelOrchestra-Research/AI-Research-SKILLs | 13k | 6 repos | ~2k | Automated safety check: Pass | MIT | |
| Motioneyes Visual Analysisedwardsanchez/MotionEyes | 229 | — | ~2k | Automated safety check: Pass | None |
Orchestra-Research/AI-Research-SKILLs
Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.
Orchestra-Research/AI-Research-SKILLs
Explains OpenAI's CLIP model for zero-shot image classification, image-text similarity, semantic image search and content moderation, with install steps and code patterns.
jjyaoao/HelloAgents
Implement specialized video understanding capabilities using the z-ai-web-dev-sdk.
Orchestra-Research/AI-Research-SKILLs
Guide to LLaVA for image chat, visual question answering and captioning, with model sizes, CLI and Gradio usage and multi-turn conversation code.
edwardsanchez/MotionEyes
Pixel-based motion and UI change analysis from frame sequences or screenshots using computer vision and visual comparison.
huggingface/skills
Trains and fine-tunes object detection, image classification and SAM or SAM2 segmentation models on Hugging Face Jobs cloud GPUs and saves the results to the Hub.
Categories
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.