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 gura105 · MCP Server · ★ 171
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is operational-ontology safe to install? View the security audit →
English | 日本語 Operational Ontology An operational ontology is a shared domain model built on top of the data of systems you don't own — objects, links, and actions — where reads traverse the model and writes are gated by actions that carry business rules, are audited, and propagate back to the systems of record that own the state they change. A semantic layer lets you read your business. An operational ontology lets you run it. Palantir Foundry's Ontology is one implementation of this pattern. This repository is another: a minimal reference implementation, small enough to read in one sitting. It exists to make the definition precise and runnable; it is not a framework. Fork it and reuse the ideas. Quickstart
| Stars | 171 |
| Forks | 20 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 65.9881581763626/100 |
| Last Updated | 2026-10-02 |
| Created | 2026-07-18 |
| Platforms | mcp, node |
| Est. Tokens | ~22k |
These tools work well together with operational-ontology for enhanced workflows:
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operational-ontology is A minimal, readable reference implementation of the Operational Ontology pattern. Palantir Foundry is one implementation; this is the concept, minimized.. It is categorized as a MCP Server with 171 GitHub stars.
operational-ontology is primarily written in TypeScript. It covers topics such as ai-agents, domain-modeling, mcp.
You can find installation instructions and usage details in the operational-ontology GitHub repository at github.com/gura105/operational-ontology. The project has 171 stars and 20 forks, indicating an active community.
operational-ontology is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to operational-ontology on Agent Skills Hub include claude-swarm, claude-emporium, objectstack. 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: