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 ThHanke · MCP Server · ★ 237
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ontosphere safe to install? View the security audit →
Ontosphere — Browser-based RDF Knowledge Graph Editor ==================================================== Table of Contents Overview Key capabilities Quick start (development) Startup / URL parameters Reasoning Reasoning demo CORS and proxies Using the UI Developer utilities Troubleshooting AI / MCP Integration How it works Setup (Playwright / headless) Recommended workflow Using Ontosphere with any AI Claude Code / Playwright [AI Relay Bri
| Stars | 237 |
| Forks | 30 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 62.5942169000522/100 |
| Last Updated | 2026-09-18 |
| Created | 2025-09-03 |
| Platforms | browser, cli, mcp, node |
| Est. Tokens | ~22k |
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ontosphere is Browser-based RDF/ontology knowledge graph editor — load RDF from files, URLs or SPARQL endpoints; author nodes and edges on the canvas; run OWL-RL reasoning; apply multi-algorithm layout and clusteri. It is categorized as a MCP Server with 237 GitHub stars.
ontosphere is primarily written in TypeScript. It covers topics such as fair-data, graph-editor, json-ld.
You can find installation instructions and usage details in the ontosphere GitHub repository at github.com/ThHanke/ontosphere. The project has 237 stars and 30 forks, indicating an active community.
The top alternatives to ontosphere on Agent Skills Hub include open-ontologies, brain-in-the-fish, session-graph. 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.
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