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 openstatusHQ · MCP Server · ★ 9.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is openstatus safe to install? View the security audit →
openstatus The open-source status page and uptime monitoring platform. Learn more » Documentation · Website · Discord About openstatus openstatus is an open-source platform that combines status pages and uptime monitoring in a single tool. Keep your users informed and your services reliable. Available as a managed service or self-hosted. <img src="https://www.openstatus.dev/assets/landing/statuspage-meo
| Stars | 9,110 |
| Forks | 767 |
| Language | TypeScript |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 68.3542196119925/100 |
| Open Issues | 83 |
| Last Updated | 2026-09-14 |
| Created | 2023-06-19 |
| Platforms | mcp, node |
| Est. Tokens | ~15k |
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openstatus is 🫖 Status page with uptime monitoring & API monitoring as code 🫖. It is categorized as a MCP Server with 9.1k GitHub stars.
openstatus is primarily written in TypeScript. It covers topics such as alerting, incident-management, mcp.
You can find installation instructions and usage details in the openstatus GitHub repository at github.com/openstatusHQ/openstatus. The project has 9.1k stars and 767 forks, indicating an active community.
openstatus is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to openstatus on Agent Skills Hub include holmesgpt, voltagent, klavis. 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: