No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by datopian · MCP Server · ★ 2.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is portaljs safe to install? View the security audit →
PortalJS The AI-native framework for building data portals. Describe the portal you want — your agent helps you choose an architecture, scaffolds it, and loads your data. Docs · Discussions · Report a bug Quickstart Create a portal — one command, nothing to install beyond Node 22+: You
| Stars | 2,349 |
| Forks | 334 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.9777344325229/100 |
| Open Issues | 73 |
| Last Updated | 2026-09-07 |
| Created | 2011-10-14 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~17k |
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portaljs is 🌀 AI-native framework for building data portals. Scaffold a full portal from a brief and load datasets in minutes with agentic skills — any backend (CKAN, GitHub, Frictionless).. It is categorized as a MCP Server with 2.3k GitHub stars.
portaljs is primarily written in TypeScript. It covers topics such as agent-skills, ai, ai-agents.
You can find installation instructions and usage details in the portaljs GitHub repository at github.com/datopian/portaljs. The project has 2.3k stars and 334 forks, indicating an active community.
portaljs is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to portaljs on Agent Skills Hub include claude-code-plugins-plus-skills, Generative-Media-Skills, claude-workflow-v2. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: