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 OpenClaudia · Claude Skill · ★ 689
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is openclaudia-skills safe to install? View the security audit →
OpenClaudia The open-source marketing toolkit for AI coding agents. 63+ modular skills that turn Claude Code into a full marketing department. Website · Quick Start · Usage Guide · 使用指南 · Skills · Issues · Contributing Why OpenClaudia? Most AI marketing tools charge $50–300/month for a chat box that gives you suggestions. OpenClaudia is different: SaaS
| Stars | 689 |
| Forks | 53 |
| Language | JavaScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 73.6446643165471/100 |
| Last Updated | 2026-09-11 |
| Created | 2026-02-11 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~16k |
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openclaudia-skills is 77 open-source marketing skills for Claude Code, Codex, and other AI coding agents. SEO, content, email, ads, analytics, and growth.. It is categorized as a Claude Skill with 689 GitHub stars.
openclaudia-skills is primarily written in JavaScript.
You can find installation instructions and usage details in the openclaudia-skills GitHub repository at github.com/OpenClaudia/openclaudia-skills. The project has 689 stars and 53 forks, indicating an active community.
openclaudia-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to openclaudia-skills 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: