by Raja0sama · Claude Skill · ★ 390
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx @vibex/vibex demo out # or look first — installs nothing
npm i -g @vibex/vibexTaken from the project's README on GitHub. Check the security audit before running it.
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.
| Stars | 390 |
| Forks | 1 |
| Language | JavaScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 67/100 |
| Open Issues | 5 |
| Last Updated | 2026-10-16 |
| Created | 2026-09-19 |
| Platforms | claude-code, cli, node |
| Est. Tokens | ~17k |
vibeX Your architecture diagram is a lie. vibeX reads the thing that can't lie — your Prisma schema, your OpenAPI document, your GraphQL SDL, or the source itself — and renders the diagram that's actually true. Then it documents the system in claims that fail CI when the code moves underneath them. One standalone HTML file. No server. Nothing leaves your network.
These tools work well together with vibex for enhanced workflows:
Looking for a vibex alternative? If you're comparing vibex with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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Animated, explorable diagrams for Claude and other coding agents, from a short JSON spec.
Precision documentation from OpenAPI, MCP, Doxygen, and Markdown guides. Static HTML you own.
Understand any codebase instantly. System intelligence for codebases, built for humans and AI.
Free, open-source diagram canvas. Draw it, write it as code (Mermaid, D2, Structurizr in), ask any AI model or
Your agents are guessing at APIs. Give them the actual Agent-Native spec. 1500+ API's Ready To-Use skills, Co
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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: