create-viral-content — security grade SAFE, quality 44/100

Security audit verdict: SAFE · quality 44/100

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 aaaronmiller · Claude Skill · ★ 60

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is create-viral-content safe to install? View the security audit →

About create-viral-content

Viral Content Deliberative Refinement - Complete Package Transform complex ideas into content that spreads. This skill codifies the refinement process that separates forgettable posts from ones that generate discussion, shares, and action. What You're Getting A production-ready system for creating viral social content across all major platforms, with integrated AI tell detection and humanization. File Manifest Core Files References ( folder) Adversarial refinement p

Quick Facts

Stars60
Forks15
CategoryClaude Skill
Quality Score43.7172384435282/100
Open Issues3
Last Updated2026-06-22
Created2025-12-26
Platformsclaude-code
Est. Tokens~7k

Compatible Skills

These tools work well together with create-viral-content for enhanced workflows:

  • social-media-skills — semantic(0.45)+complementary+similar_pop+shared_platform (56%)
  • linkedin-skills — semantic(0.36)+complementary+similar_pop+shared_platform (53%)
  • postiz-agent — semantic(0.45)+complementary+similar_pop+shared_platform (51%)

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Frequently Asked Questions

What is create-viral-content?

create-viral-content is Claude Code skill that optimizes content for social media engagement. Auto-generates hooks, headlines, and formatted posts for Reddit, Twitter/X, LinkedIn, and TikTok.. It is categorized as a Claude Skill with 60 GitHub stars.

How do I install or use create-viral-content?

You can find installation instructions and usage details in the create-viral-content GitHub repository at github.com/aaaronmiller/create-viral-content. The project has 60 stars and 15 forks, indicating an active community.

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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