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 ahmedasmar · Claude Skill · ★ 194
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is devops-claude-skills safe to install? View the security audit →
DevOps Skills Community repository of DevOps-focused skills for Claude Code. Available Skills iac-terraform Infrastructure as Code with Terraform and Terragrunt Use for creating, validating, troubleshooting, and managing Terraform configurations, modules, and state. Includes state inspection tools, module validators, and comprehensive troubleshooting guides. k8s-troubleshooter Systematic Kubernetes troubleshooting and incident response Diagnose pod failures, cluster issues, performance problems, and production incidents. Features cluster health checks, pod diagnostics, and structured incident response playbooks. aws-cost-optimization AWS cost optimization and FinOps workflows Find unused resources, analyze Reserved Instance opportunities, detect cost anomalies, rightsize instances, evaluate Spot instances, and implement FinOps best practices.
| Stars | 194 |
| Forks | 39 |
| Language | Python |
| Category | Claude Skill |
| Quality Score | 65.9572579027436/100 |
| Open Issues | 3 |
| Last Updated | 2026-04-11 |
| Created | 2025-10-26 |
| Platforms | claude-code, python |
| Est. Tokens | ~45k |
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devops-claude-skills is A Claude Code Skills Marketplace for DevOps workflows. It is categorized as a Claude Skill with 194 GitHub stars.
devops-claude-skills is primarily written in Python.
You can find installation instructions and usage details in the devops-claude-skills GitHub repository at github.com/ahmedasmar/devops-claude-skills. The project has 194 stars and 39 forks, indicating an active community.
The top alternatives to devops-claude-skills on Agent Skills Hub include digital-marketing-pro, life-sciences, claude-ai-mcp. 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: