No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by iamzifei · Claude Skill · ★ 850
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is show-me-the-money safe to install? View the security audit →
💰 Show Me The Money English | 中文 AI agent skills that build and run your business autonomously — from idea to revenue, 24/7. One command. 14 agent skills. Zero to profitable business. Show Me The Money is an open-source skill suite for Claude Code and compatible AI coding agents. It turns your AI assistant into a full-stack business operating system — discovering opportunities, validating demand, building products, running marketing, managing ads, and operating everything autonomously. Works with Claude Code, Codex CLI, Gemini CLI, and other agents that support the skill system. Quick Start Then open Claude Code and type: That's it. The AI will onboard you, build your profile, and guide you through every step. What It Does The Full Pipeline Onboarding — Share your ema
| Stars | 850 |
| Forks | 136 |
| Language | JavaScript |
| Category | Claude Skill |
| Quality Score | 68.0538969567143/100 |
| Last Updated | 2026-09-01 |
| Created | 2026-03-25 |
| Platforms | claude-code, node |
| Est. Tokens | ~15k |
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show-me-the-money is Claude Code skill suite that builds and runs a 24/7 automated business from scratch — from idea discovery to revenue generation.. It is categorized as a Claude Skill with 850 GitHub stars.
show-me-the-money is primarily written in JavaScript.
You can find installation instructions and usage details in the show-me-the-money GitHub repository at github.com/iamzifei/show-me-the-money. The project has 850 stars and 136 forks, indicating an active community.
The top alternatives to show-me-the-money on Agent Skills Hub include claude-codex-settings, digital-marketing-pro, life-sciences. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: