cesium-ai-integrations: Collection of reference integrations and experiments connecting the Cesium ecosystem with AI systems including

by CesiumGS · MCP Server · ★ 86

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

Security audit verdict: SAFE · quality 54/100

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.

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.

3d-visualizationagent-skillsaiai-agentsai-toolscesiumcesiumjsgeospatialmcpmcp-apps

Quick Facts

Stars86
Forks10
LanguageTypeScript
CategoryMCP Server
LicenseApache-2.0
Quality Score54/100
Open Issues10
Last Updated2026-08-19
Created2026-02-04
Platformsmcp, node
Est. Tokens~14k

About cesium-ai-integrations

Cesium AI Integrations Cesium :earthasia: CesiumJS :earthamericas: Forum :earthafrica: Issues Cesium AI Integrations is a collection of reference integrations, experiments, and patterns that connect the Cesium ecosystem with AI systems such as LLMs, retrieval pipelines, and agent workflows.

Compatible Skills

These tools work well together with cesium-ai-integrations for enhanced workflows:

  • agentuse — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)
  • agent-skills-generator — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (53%)
  • KaiyanTool — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (53%)
  • Dorothy — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)

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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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