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 get-zeked · Agent Tool · ★ 310
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is perplexity-super-skills safe to install? View the security audit →
Perplexity Super-Skills Collection 12 super-skills merging Perplexity Computer built-in skills with Claude Code expertise into unified, production-ready skill files for AI-powered workflows. What Are Super-Skills? Each super-skill is a single, comprehensive file that combines multiple Perplexity Computer skills with complementary Claude Code capabilities into one unified reference. They're designed to be used as context/instructions for AI agents, giving them deep domain expertise across an entire functional area. Each skill includes: gap analysis matrices, structured workflows, templates, decision frameworks, quality checklists, and real-world examples. The Collection Content creation, SEO, campaign planning, demand gen, analytics, c
| Stars | 310 |
| Forks | 44 |
| Category | Agent Tool |
| Quality Score | 58.2075175255232/100 |
| Last Updated | 2026-04-01 |
| Created | 2026-03-03 |
| Platforms | claude-code |
| Est. Tokens | ~1k |
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perplexity-super-skills is Complete collection of 12 Perplexity Computer Super-Skills merging Perplexity + Claude Code capabilities across AI agents, dev, marketing, sales, finance, legal, PM, ops, research, content, security, . It is categorized as a Agent Tool with 310 GitHub stars.
You can find installation instructions and usage details in the perplexity-super-skills GitHub repository at github.com/get-zeked/perplexity-super-skills. The project has 310 stars and 44 forks, indicating an active community.
The top alternatives to perplexity-super-skills on Agent Skills Hub include awesome-android-agent-skills, synalinks-skills, agent-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: