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 gitroomhq · Agent Tool · ★ 36.6k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is postiz-app safe to install? View the security audit →
NEW: check out Postiz agent CLI! perfect for OpenClaw and other agents Your ultimate AI social media scheduling tool Postiz: An alternative to: Buffer.com, Hypefury, Twitter Hunter, etc... Postiz offers everything you need to manage your social media posts,build an audience, capture leads, and grow your business. <img alt="Reddit" src="https://postiz.com/
| Stars | 36,648 |
| Forks | 7,060 |
| Language | TypeScript |
| Category | Agent Tool |
| License | AGPL-3.0 |
| Quality Score | 58.9478711095363/100 |
| Open Issues | 240 |
| Last Updated | 2026-10-03 |
| Created | 2023-07-08 |
| Platforms | node |
| Est. Tokens | ~15k |
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postiz-app is 📨 The ultimate agentic social media scheduling tool 🤖. It is categorized as a Agent Tool with 36.6k GitHub stars.
postiz-app is primarily written in TypeScript. It covers topics such as nextjs, open-source, open-source-social-media-scheduling-tool.
You can find installation instructions and usage details in the postiz-app GitHub repository at github.com/gitroomhq/postiz-app. The project has 36.6k stars and 7060 forks, indicating an active community.
postiz-app is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to postiz-app on Agent Skills Hub include sim, mastra, ai. 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: