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 minhnv0807 · Claude Skill · ★ 329
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is fullstack-mkt-skills safe to install? View the security audit →
Featured in: PPT Skills for Codex & Claude Code
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| Stars | 329 |
| Forks | 167 |
| Language | PowerShell |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 67.3128173741324/100 |
| Open Issues | 3 |
| Last Updated | 2026-05-10 |
| Created | 2026-04-15 |
| Platforms | claude-code, gemini |
| Est. Tokens | ~99k |
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fullstack-mkt-skills is 60 production-ready AI marketing skills (29 VN + 30 Global) for Claude Code, ChatGPT, Gemini & Copilot. 4 regions (US/EU/SEA/LATAM), Personal Brand + AI Avatar cluster, Dropshipping flagship for US/EU. It is categorized as a Claude Skill with 329 GitHub stars.
fullstack-mkt-skills is primarily written in PowerShell. It covers topics such as agent-skills, ai-agents, ai-avatar.
You can find installation instructions and usage details in the fullstack-mkt-skills GitHub repository at github.com/minhnv0807/fullstack-mkt-skills. The project has 329 stars and 167 forks, indicating an active community.
fullstack-mkt-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to fullstack-mkt-skills on Agent Skills Hub include affiliate-skills, prompt-architect, skill-conductor. 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: