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 ndesv21 · MCP Server · ★ 82
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is socialclaw safe to install? View the security audit →
SocialClaw Social media scheduling CLI and OpenClaw skill for AI agents posting to X, LinkedIn, Instagram, Facebook Pages, TikTok, Discord, Telegram, YouTube, Reddit, WordPress, and Pinterest. Official Website: getsocialclaw.com · Dashboard · npm · Skill Bundle getsocialclaw.com is the official SocialClaw website — the hosted dashboard, API, and account sign-up all live there. This repo is the public home for: the npm CLI the OpenClaw and ClawHub skill bundle the Claude Code plugin and command
| Stars | 82 |
| Forks | 23 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.0726875370098/100 |
| Last Updated | 2026-08-24 |
| Created | 2026-03-20 |
| Platforms | claude-code, cli, codex, mcp, node |
| Est. Tokens | ~15k |
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socialclaw is Social media scheduling CLI and OpenClaw skill for AI agents posting to X, LinkedIn, Instagram, Facebook Pages, TikTok, Discord, Telegram, YouTube, Reddit, WordPress, and Pinterest.. It is categorized as a MCP Server with 82 GitHub stars.
socialclaw is primarily written in JavaScript. It covers topics such as agentic-ai, ai-agent, ai-agents.
You can find installation instructions and usage details in the socialclaw GitHub repository at github.com/ndesv21/socialclaw. The project has 82 stars and 23 forks, indicating an active community.
socialclaw is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to socialclaw on Agent Skills Hub include agent-skills, google-analytics-mcp, notion-mcp-server. 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: