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
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skillsnpx agentmods add skills/leoyeai/openclaw-master-skills/add-analyticsWrote 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/add-analytics)<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/add-analytics"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/add-analytics/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/add-analytics"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/add-analytics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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 Prompt Injection · line 17 This pattern attempts to override system instructions or ignore safety constraints. Without LLM analysis, manual review is recommended.Fix: Remove or rewrite any text that instructs the agent to ignore prompts, override safety rules, or trust unverified content. Ensure skill content cannot be injected to alter agent behavior.
- high Prompt Injection · line 670 This pattern attempts to override system instructions or ignore safety constraints. Without LLM analysis, manual review is recommended.Fix: Remove or rewrite any text that instructs the agent to ignore prompts, override safety rules, or trust unverified content. Ensure skill content cannot be injected to alter agent behavior.
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 | $0.00032 | $0.04710 |
| Opus 5 | $0.00016 | $0.02355 |
| Sonnet 5 | $0.00006 | $0.00942 |
| Haiku 4.5 | $0.00003 | $0.00471 |
Grade A, and why
add-analytics 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 10d 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 — 772 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Analytics 4 Setup Skill
You are setting up Google Analytics 4 (GA4) for a project. Follow this comprehensive guide to add analytics properly.
Arguments
Parse the following from $ARGUMENTS:
- Measurement ID: Format
G-XXXXXXXXXX(required, ask if not provided) - --events: Include custom event tracking helpers
- --consent: Include cookie consent integration
- --debug: Enable debug mode for development
Step 1: Detect Project Type
Scan the project to determine the framework/setup:
Priority detection order:
1. next.config.js/ts → Next.js
2. nuxt.config.js/ts → Nuxt.js
3. astro.config.mjs → Astro
4. svelte.config.js → SvelteKit
5. remix.config.js → Remix
6. gatsby-config.js → Gatsby
7. vite.config.js + src/App.vue → Vue + Vite
8. vite.config.js + src/App.tsx → React + Vite
9. angular.json → Angular
10. package.json with "react-scripts" → Create React App
11. index.html only → Plain HTML
12. _app.tsx/jsx → Next.js (App Router check: app/ directory)
Also check for:
- TypeScript usage (tsconfig.json)
- Existing analytics (search for gtag, GA, analytics)
- Package manager (pnpm-lock.yaml, yarn.lock, package-lock.json)
Step 2: Validate Measurement ID
The Measurement ID must:
- Start with
G-(GA4 format) - Be followed by exactly 10 alphanumeric characters
- Example:
G-ABC1234567
If the user provides a UA- ID, inform them:
"You provided a Universal Analytics ID (UA-). GA4 uses Measurement IDs starting with 'G-'. Universal Analytics was sunset in July 2024. You'll need to create a GA4 property at analytics.google.com"
Step 3: Implementation by Framework
Next.js (App Router - app/ directory)
Create app/layout.tsx modification or create components/GoogleAnalytics.tsx:
// components/GoogleAnalytics.tsx
'use client'
import Script from 'next/script'
interface GoogleAnalyticsProps {
measurementId: string
}
export function GoogleAnalytics({ measurementId }: GoogleAnalyticsProps) {
return (
<>
<Script
src={`https://www.googletagmanager.com/gtag/js?id=${measurementId}`}
strategy="afterInteractive"
/>
<Script id="google-analytics" strategy="afterInteractive">
{`
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', '${measurementId}');
`}
</Script>
</>
)
}
What ships with it
1 file 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.
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.
- 10d ago First seen · 772 lines · 32 tokens per session scan A 9c2201c5e5c1
add-analytics is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,137 stars, last pushed 1mo ago), licensed MIT. It adds 32 tokens to every session and 4,710 once invoked, about $0.0002 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
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openclaw-ultra-scraping
Powerful web scraping, crawling, and data extraction with stealth anti-bot bypass. Bypasses anti-bot systems (Cloudflare Turnstile, CAPTCHAs) out of the box. Use when: (1) scraping websites that block normal requests, (2) extracting structured data from web pages, (3) crawling multiple pages with concurrency, (4)…
myclaw-backup
Backup and restore all OpenClaw configuration, agent memory, skills, and workspace data. Part of the MyClaw.ai (https://myclaw.ai) open skills ecosystem — the AI personal assistant platform that gives every user a full server with complete code control. Use when the user wants to create a snapshot of their OpenClaw…
agentsec
Audit AI agent skills for security vulnerabilities. Use when scanning installed skills against the OWASP Agentic Skills Top 10, checking skills before running them, gating CI/CD on skill safety, or generating audit reports (text, JSON, SARIF, HTML) for stakeholders.
create-teammate
Distill a teammate into an AI Skill. Auto-collect Slack/Teams/GitHub data, generate Work Skill + 5-layer Persona, with continuous evolution. Use when: user wants to capture a colleague's knowledge before they leave, create an AI version of a teammate, distill tribal knowledge into a reusable skill, or says…