gingiris-skills: Reusable Claude Code skills for AI startup operators. Open source, MIT licensed

by Gingiris-1031 · Claude Skill · ★ 89

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

Featured in: Claude Code Skills

How to install gingiris-skills

npx skills add Gingiris-1031/gingiris-skills

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 64/100

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.

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.

ai-agentai-startupclaude-codegrowthmarketingmeta-routeropen-sourceplaybookskill-collectionsop

Quick Facts

Stars89
Forks6
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score64/100
Last Updated2026-11-04
Created2026-05-25
Platformsclaude-code, python
Est. Tokens~14k

About gingiris-skills

Gingiris Skills — AI Growth & Operations Toolkit Reusable Claude Code skills for AI startup operators. Open source, MIT licensed. 4-language support: 🇺🇸 EN · 🇨🇳 ZH · 🇯🇵 JA · 🇰🇷 KR ⚡ Install All 55+ Skills in One Command Or install a single skill: Browse all skills: gingiris.tools/skills · clawhub.ai/user/gingiris Skills Index Core Growth Playbooks () [↗](https://clawhub.a

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  • niw-skill-suite — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)
  • niw-skill-suite — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)

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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:

View on GitHub → Browse Claude Skill tools