by AgentlyHQ · MCP Server · ★ 81
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
bunx create-aixyz-app my-agent
bun add aixyz # CLI included with the aixyz package
Taken from the project's README on GitHub.
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.
| Stars | 81 |
| Forks | 9 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 66/100 |
| Open Issues | 25 |
| Last Updated | 2026-07-17 |
| Created | 2026-01-13 |
| Platforms | mcp, node |
| Est. Tokens | ~384k |
Nextjs-like framework for bundling AI agents into deployable services with A2A, MCP, x402 payments, and ERC-8004 identity. Documentation · Quick Start · How It Works · Examples · CLI · Protocols <img src="https://img.shields.io/npm/l/aixyz?colorA=f6f8fa&colorB=f6f8
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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: