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 DevOpsAIguru123 · MCP Server · ★ 78
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-agentic-devops safe to install? View the security audit →
Awesome Agentic DevOps Awesome Agentic DevOps is a curated map for DevOps, Cloud, SRE, and Platform Engineering agents across Claude Code, Gemini ADK, OpenAI Agents SDK, and MCP. This repository evaluates which agents are safe, useful, and production-adjacent for infrastructure automation. Every link is re-audited by scheduled CI for reachability, archival, and freshness. Contents Recently added Why this exists Who it is for Safety-first disclaimer Evaluation labels How entries are scored Categories Top picks by use case Curated catalog How to contribute Recently added | 2026-07-
| Stars | 78 |
| Forks | 16 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.6854116626047/100 |
| Open Issues | 16 |
| Last Updated | 2026-09-05 |
| Created | 2026-07-02 |
| Platforms | claude-code, k8s, mcp, python |
| Est. Tokens | ~19k |
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awesome-agentic-devops is Curated + scored map of official MCP servers and agents for DevOps, Cloud, SRE, and Platform Engineering — every entry rated on production access, approval gates, and audit evidence.. It is categorized as a MCP Server with 78 GitHub stars.
awesome-agentic-devops is primarily written in Python. It covers topics such as agent-skills, agentic-ai, agentic-devops.
You can find installation instructions and usage details in the awesome-agentic-devops GitHub repository at github.com/DevOpsAIguru123/awesome-agentic-devops. The project has 78 stars and 16 forks, indicating an active community.
awesome-agentic-devops is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to awesome-agentic-devops on Agent Skills Hub include awesome-mcp-servers-devops, aura, Wazuh-MCP-Server. 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: