ClaudeAdvancedPlugins: Claude Code Advanced Plugins

by JoasASantos · AI Tool · ★ 157

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

How to install ClaudeAdvancedPlugins

git clone https://github.com/CyberSecurityUP/ClaudeAdvancedPlugins.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 60/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars157
Forks42
LanguageShell
CategoryAI Tool
LicenseMIT
Quality Score60/100
Open Issues1
Last Updated2026-03-04
Created2026-03-02
Platformsclaude-code, cli
Est. Tokens~14k

About ClaudeAdvancedPlugins

Claude Advanced Plugins A comprehensive collection of 48 advanced plugins (55+ slash commands) for Claude Code covering cybersecurity, game development, frontend, backend, reverse engineering, and AI productivity. Each plugin installs as a custom slash command — type in Claude Code to activate.

Compatible Skills

These tools work well together with ClaudeAdvancedPlugins for enhanced workflows:

  • LibreEmbed-Claude-Code — semantic(0.22)+complementary+shared_fw(anthropic)+same_lang+similar_pop+shared_platform (66%)
  • director-mode-lite — semantic(0.22)+complementary+shared_fw(anthropic)+same_lang+similar_pop+shared_platform (66%)
  • easy-skills — semantic(0.23)+complementary+shared_fw(anthropic,react)+similar_pop+shared_platform (64%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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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