by assistant-ui · MCP Server · ★ 772
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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 | 772 |
| Forks | 30 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 60/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-31 |
| Created | 2025-11-03 |
| Platforms | mcp, node |
| Est. Tokens | ~14k |
Copy/paste React components for rendering tool calls in AI chat interfaces. Built by assistant-ui. Docs · Gallery · Quick Start When a model calls a tool, most apps dump raw JSON into the conversation. These components turn tool payloads into interactive UI like approvals, forms, tables, charts, and media cards so users can understand and act without leaving the chat.
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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: