portaljs: AI-native framework for building data portals

by datopian · MCP Server · ★ 2.4k

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

How to install portaljs

npx tiged datopian/portaljs/examples/portaljs-catalog my-portal

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 67/100

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. 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.

agent-skillsaiai-agentsckanclaude-codedata-meshdata-portaldatahubdataversedkan

Quick Facts

Stars2,369
Forks338
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score67/100
Open Issues16
Last Updated2026-10-21
Created2011-10-14
Platformsclaude-code, mcp, node
Est. Tokens~17k

About portaljs

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

Compatible Skills

These tools work well together with portaljs for enhanced workflows:

  • datastoria — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (57%)
  • fire-enrich — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)
  • chart-visualization-skills — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)
  • ckan-mcp-server — semantic(0.47)+rare_topics+same_lang+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:

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