vibesubin: AI skills that keep your code honest, your secrets unleaked, and your repo from rotting

by subinium · Codex Skill · ★ 50

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

How to install vibesubin

/plugin marketplace add subinium/vibesubin
/plugin install vibesubin@vibesubin

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 69/100

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-skillsclaude-codecodex-cliconfig-managementdead-codellm-toolsrefactoringsecurity-auditskills-shvibe-coding

Quick Facts

Stars50
Forks2
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score69/100
Last Updated2026-05-05
Created2026-04-14
Platformsclaude-code, cli, codex, python
Est. Tokens~60k

About vibesubin

vibesubin A portable skill plugin that teaches your AI assistant to refactor, audit, and deploy your code the way I wish it would by default — and lets you run all of it at once with . It's built for people who ship real things with AI but weren't trained as developers.

Compatible Skills

These tools work well together with vibesubin for enhanced workflows:

  • shipyard — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • ris-claude-code — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (55%)

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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 Codex Skill tools