gptaku_plugins: A Claude Code plugin marketplace for people who want to become AI Native

by fivetaku · AI Tool · ★ 1.2k

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

How to install gptaku_plugins

/plugin marketplace add https://github.com/fivetaku/gptaku_plugins.git
/plugin install insane-search@gptaku-plugins

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

Security audit verdict: SAFE · quality 63/100

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

Stars1,195
Forks87
LanguagePython
CategoryAI Tool
LicenseMIT
Quality Score63/100
Open Issues1
Last Updated2026-10-08
Created2026-02-21
Platformsclaude-code, python
Est. Tokens~16k

About gptaku_plugins

English Español GPTaku Plugins Stop explaining what you want — let Claude Code do it. 18 plugins that search blocked sites, rip design systems from any URL, review your code, and turn rough ideas into PRDs — all inside Claude Code. Install · Start here · All plugins · <a href="#-trust

Compatible Skills

These tools work well together with gptaku_plugins for enhanced workflows:

  • claude-code-plugins-plus-skills — semantic(0.30)+complementary+shared_fw(anthropic)+same_lang+similar_pop+shared_platform (69%)
  • moai-cowork — semantic(0.26)+complementary+shared_fw(anthropic)+same_lang+similar_pop+shared_platform (67%)
  • buildwithclaude — semantic(0.22)+complementary+shared_fw(anthropic)+same_lang+similar_pop+shared_platform (66%)
  • adversarial-spec — semantic(0.21)+complementary+shared_fw(anthropic)+same_lang+similar_pop+shared_platform (65%)

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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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