ai-social-content-automation-de — no README to audit

by Genevieveyes · Agent Tool · ★ 71

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About ai-social-content-automation-de

Das KI-gestützte Marketing-Tool für Entwickler, Indie Hacker und Content Creator im DACH-Raum.** Erstelle optimierte Social-Media-Beiträge für LinkedIn, Twitter/X und Instagram in Sekunden – ohne Schreibblockaden.

ai-toolscontent-generatorcopywritingdeutschgermanmarketing-automationsocial-mediasocial-media-marketing

Quick Facts

Stars71
Forks0
CategoryAgent Tool
Quality Score48.3758536508423/100
Last Updated2026-08-31
Created2026-08-10
Est. Tokens~0k

Compatible Skills

These tools work well together with ai-social-content-automation-de for enhanced workflows:

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Frequently Asked Questions

What is ai-social-content-automation-de?

ai-social-content-automation-de is Das KI-gestützte Marketing-Tool für Entwickler, Indie Hacker und Content Creator im DACH-Raum.** Erstelle optimierte Social-Media-Beiträge für LinkedIn, Twitter/X und Instagram in Sekunden – ohne Schr. It is categorized as a Agent Tool with 71 GitHub stars.

How do I install or use ai-social-content-automation-de?

You can find installation instructions and usage details in the ai-social-content-automation-de GitHub repository at github.com/Genevieveyes/ai-social-content-automation-de. The project has 71 stars and 0 forks, indicating an active community.

What are the best alternatives to ai-social-content-automation-de?

The top alternatives to ai-social-content-automation-de on Agent Skills Hub include email-marketing-bible, instagram-skills, humanizer-de. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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