OpenClaw Master Skills is a curated, regularly updated collection of skills that extends an AI personal assistant platform with capabilities such as research, browser automation, presentation creation, and prompt work. It is intended for people using OpenClaw or MyClaw.ai to give their agents additional tasks and workflows. The catalogue contains many skills and agents from this collection.
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.
npx skills add LeoYeAI/openclaw-master-skills --skill ad-readygit clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skillsWrote 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.
[](https://agentmods.dev/skills/leoyeai/openclaw-master-skills/ad-ready)<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/ad-ready"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/ad-ready/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.
<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/ad-ready"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/ad-ready.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium Data Exfiltration · line 225 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00191 | $0.05112 |
| Opus 5 | $0.00096 | $0.02556 |
| Sonnet 5 | $0.00038 | $0.01022 |
| Haiku 4.5 | $0.00019 | $0.00511 |
Grade A, and why
ad-ready 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 11d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 462 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ad-Ready: AI Advertising Image Generator
Generate professional advertising images from product URLs using a 4-phase AI pipeline on ComfyDeploy.
Source: github.com/PauldeLavallaz/ads_SV
Pipeline Architecture
The pipeline runs as a ComfyUI custom node deployed on ComfyDeploy. A single ProductToAds_Manual node executes 4 phases internally:
┌─────────────────────────────────────────────────────────────┐
│ ProductToAds_Manual Node │
│ │
│ PHASE 1: Product Scraping (Gemini Flash) │
│ ───────────────────────────────────────── │
│ Scrapes product URL → extracts title, description, │
│ features, price, materials, image URLs │
│ Also scrapes HTML for high-res product images (≥1000px) │
│ │
│ PHASE 2: Campaign Brief Generation (Gemini Flash) │
│ ──────────────────────────────────────────────── │
│ Brand Identity + Product Data + References → │
│ 10-point Campaign Brief (creative direction) │
│ │
│ PHASE 3: Blueprint Generation (Gemini Flash) │
│ ────────────────────────────────────────────── │
│ Master Prompt (funnel stage) + Brief + Keywords → │
│ Production-Ready JSON Blueprint │
│ │
│ PHASE 4: Image Generation (Nano Banana Pro / Imagen 3) │
│ ────────────────────────────────────────────────── │
│ Blueprint + all reference images → final ad image │
│ │
└─────────────────────────────────────────────────────────────┘
Phase 2: Campaign Brief (The Creative Brain)
What ships with it
13 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.
- _meta.json 982 B
- configs/Brief_Generator/brief_prompt.json 7.6 KB
- configs/Product_to_Ads/Master_prompt_01_Awareness.json 14 KB
- configs/Product_to_Ads/Master_prompt_02_Interest.json 16 KB
- configs/Product_to_Ads/Master_prompt_03_Consideration.json 12 KB
- configs/Product_to_Ads/Master_prompt_04_Evaluation.json 11 KB
- configs/Product_to_Ads/Master_prompt_05_Conversion.json 11 KB
- configs/Product_to_Ads/Master_prompt_06_Retention.json 11 KB
- configs/Product_to_Ads/Master_prompt_07_Loyalty.json 12 KB
- configs/Product_to_Ads/Master_prompt_08_Advocacy.json 12 KB
- configs/Product_to_Ads/Master_prompt_09_Morfeo_Creative.json 19 KB
- configs/Reference_Analyzer/reference_analysis_prompt.txt 2.0 KB
- scripts/generate.py 23 KB runs code
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.
- 11d ago First seen · 462 lines · 191 tokens per session scan A 83a83818dac2
ad-ready is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,139 stars, last pushed 1mo ago), licensed MIT. It adds 191 tokens to every session and 5,112 once invoked, about $0.0010 per session on Opus 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.
Other skills, from other repositories
comfyui-skill-openclaw
Run registered ComfyUI workflows through the fast comfyui-skill CLI, and use the official local Comfy MCP for live template, node, model, validation, and orchestration capabilities. Use this Skill when: (1) The user requests to "generate an image", "draw a picture", or "execute a ComfyUI workflow". (2) The user has…
codex-imagen
Generate or edit raster images by calling the ChatGPT/Codex hosted imagegeneration flow with local Codex or OpenClaw OAuth credentials, then save decoded image files for OpenClaw and other agent workflows.
kesha-voice-kit
Local multilingual voice toolkit — speech-to-text (STT), text-to-speech (TTS), speaker diarization, and language detection, over a CLI or an MCP server. Runs entirely offline on Apple Silicon, Linux, and Windows. No API keys, no cloud. NVIDIA Parakeet TDT for STT across 25 European languages, Kokoro-82M + Vosk-TTS for…
analyze-generative-diffusion-model
Analyze pre-trained generative diffusion models (Stable Diffusion, DALL-E, Flux) by computing quality metrics (FID, IS, CLIP score, precision/recall), inspecting noise schedules, extracting and visualizing attention maps, and probing latent spaces. Use when evaluating a pre-trained generative diffusion model's output…
show-your-work-kleon
Apply Austin Kleon's sharing framework. Trigger on: "what should I share?", "build an audience", "document my creative process".
xhs-image-text-generator
A skill that turns articles, interviews, product information, or other source material into a 6–10 page Xiaohongshu or RedNote image carousel. It also prepares the accompanying publishing text and final visual assets.