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 wlsdks · MCP Server · ★ 134
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ontology-atlas safe to install? View the security audit →
Ontology Atlas Understand what your codebase builds, why it is structured that way, and what a change will affect. Download for macOS · Windows x64 beta Windows is a public, unsigned beta. Microsoft Defender SmartScreen may warn about an unknown publisher, and managed work PCs may block it. The installed macOS app reading the example vault in samples/storefront — an online store, written as nothing but Markdown files in a folder. The live demo and feature inventory are the current behavior contract. AI agents can chang
| Stars | 134 |
| Forks | 20 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 60.8511870556455/100 |
| Last Updated | 2026-09-22 |
| Created | 2026-04-29 |
| Platforms | claude-code, codex, mcp, node |
| Est. Tokens | ~26k |
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ontology-atlas is Understand what your codebase builds, why it is structured that way, and what a change could affect. One shared Markdown ontology for humans and coding agents—visualized for people, accessible to age. It is categorized as a MCP Server with 134 GitHub stars.
ontology-atlas is primarily written in TypeScript. It covers topics such as ai-agents-framework, claude-code, code-visualization.
You can find installation instructions and usage details in the ontology-atlas GitHub repository at github.com/wlsdks/ontology-atlas. The project has 134 stars and 20 forks, indicating an active community.
ontology-atlas is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ontology-atlas on Agent Skills Hub include enola, mykg, Overture. 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: