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 openops-cloud · MCP Server · ★ 1.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is openops safe to install? View the security audit →
OpenOps 😎 What is OpenOps? OpenOps is a No-Code FinOps automation platform that helps organizations reduce cloud costs and streamline financial operations. It provides customizable workflows to automate key FinOps processes like allocation, unit economics, anomaly management, workload optimization, safe de-provisioning and much, much more. It also comes bundled with its own Excel-like database (OpenOps Tables) and its own visualization system (OpenOps Analytics). At the same time, OpenOps enables collaboration between FinOps teams, engineers, DevOps, finance, and leadership, ensuring that cost-saving measures are not just identified but effectively implemente
| Stars | 1,073 |
| Forks | 181 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 53.3982632705932/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-22 |
| Created | 2025-03-09 |
| Platforms | mcp, node |
| Est. Tokens | ~15k |
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openops is The batteries-included, No-Code FinOps automation platform, with the AI you trust.. It is categorized as a MCP Server with 1.1k GitHub stars.
openops is primarily written in TypeScript. It covers topics such as ai-agent, ai-agents, cloud-governance.
You can find installation instructions and usage details in the openops GitHub repository at github.com/openops-cloud/openops. The project has 1.1k stars and 181 forks, indicating an active community.
The top alternatives to openops on Agent Skills Hub include agents, flow-like, golf. 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: