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 adityaarsharma · MCP Server · ★ 44
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is youtube-marketing-skills safe to install? View the security audit →
Open-source agent-agnostic YouTube growth toolkit — 21 AI commands + live channel MCP. Works with Claude Code, Cursor, Codex, Windsurf, Gemini CLI & any MCP client. SEO, scripts, Shorts, thumbnails, analytics, WordPress publishing. Free VidIQ/TubeBuddy alternative.
| Stars | 44 |
| Forks | 8 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 68.2424805204295/100 |
| Last Updated | 2026-05-14 |
| Created | 2026-03-07 |
| Platforms | claude-code, cli, codex, gemini, mcp, node |
| Est. Tokens | ~17k |
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youtube-marketing-skills is Open-source agent-agnostic YouTube growth toolkit — 21 AI commands + live channel MCP. Works with Claude Code, Cursor, Codex, Windsurf, Gemini CLI & any MCP client. SEO, scripts, Shorts, thumbnails, a. It is categorized as a MCP Server with 44 GitHub stars.
youtube-marketing-skills is primarily written in JavaScript. It covers topics such as ai-agent, ai-marketing, claude-code.
You can find installation instructions and usage details in the youtube-marketing-skills GitHub repository at github.com/adityaarsharma/youtube-marketing-skills. The project has 44 stars and 8 forks, indicating an active community.
youtube-marketing-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to youtube-marketing-skills on Agent Skills Hub include notion-mcp-server, RivalSearchMCP, deterministic-agent-control-protocol. 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: