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 5.5 | $0.00076 | $0.02045 |
| Sonnet 5.5 | $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 2mo 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.
- 2mo 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 (2,168 stars, last pushed today), licensed MIT. It adds 191 tokens to every session and 5,112 once invoked, about $0.0008 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.
Other skills, from other repositories
pentest-api-deep
Deep OWASP API Security Top 10 testing for REST, GraphQL, gRPC, and WebSocket APIs — BFLA, mass assignment, rate limiting, and unsafe consumption.
agent-forge
Návod na vytváranie, zlepšovanie a kontrolu skillov a agentov pre OpenClaw. Skill je sada pokynov pre konkrétnu úlohu a agent je samostatne nastavený pomocník.
aeon
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard…
invest
First-time fork users: run the invest-setup skill first to initialize. The main flow lives in this skill (the AI agent uses the CLI/MCP to view the portfolio / run the committee / replay decision history). The Web GUI has been retired (2026-07) — every capability is exposed via CLI subcommands / MCP tools. The backend…
halo-cli-moderation-notifications
Use when moderating Halo comments or replies, creating official replies, managing notifications, listing unread notifications, deleting notifications, or marking notifications as read. Trigger this skill whenever the user mentions Halo comments, comment replies, or notifications in a terminal context.
pentest-secrets-exposure
Discover hardcoded credentials, leaked API keys, exposed configuration files, sensitive data in artifacts, and information disclosure via error handling.