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 blacktwist · MCP Server · ★ 402
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is social-media-skills safe to install? View the security audit →
Social Media Skills AI agent skills for social media content strategy, creation, and analysis across text-first platforms. Skill Catalog Foundation Strategy Creation Description
| Stars | 402 |
| Forks | 71 |
| Language | Shell |
| Category | MCP Server |
| License | MIT |
| Quality Score | 73.8958114083339/100 |
| Open Issues | 5 |
| Last Updated | 2026-05-01 |
| Created | 2026-03-20 |
| Platforms | claude-code, cli, mcp |
| Est. Tokens | ~14k |
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social-media-skills is AI agent skills for social media content strategy, creation, and analysis across text-first platforms. It is categorized as a MCP Server with 402 GitHub stars.
social-media-skills is primarily written in Shell. It covers topics such as ai-agents, ai-writing, bluesky.
You can find installation instructions and usage details in the social-media-skills GitHub repository at github.com/blacktwist/social-media-skills. The project has 402 stars and 71 forks, indicating an active community.
social-media-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to social-media-skills on Agent Skills Hub include affiliate-skills, socialclaw, linkedin-skills. 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: