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 devantler-tech · MCP Server · ★ 165
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ksail safe to install? View the security audit →
🛥️🐳 KSail KSail bundles common Kubernetes tooling into a single binary. Spin up local clusters, deploy workloads, and operate cloud-native stacks across distributions and providers through a CLI, VS Code extension, AI chat TUI, or MCP server — with only Docker or access to a Cloud Provider required. 📖 Full documentation: Quick Install bash mac
| Stars | 165 |
| Forks | 13 |
| Language | Go |
| Category | MCP Server |
| Quality Score | 64.8674988974922/100 |
| Open Issues | 123 |
| Last Updated | 2026-09-22 |
| Created | 2023-12-31 |
| Platforms | cli, docker, go, k8s, mcp |
| Est. Tokens | ~17k |
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ksail is All-in-one Kubernetes SDK: create, manage, and operate clusters across distributions (Kind, K3d, Talos, VCluster) with built-in GitOps, secrets, AI assistant, and MCP server. Only requires Docker or a. It is categorized as a MCP Server with 165 GitHub stars.
ksail is primarily written in Go. It covers topics such as argocd, chat, cli.
You can find installation instructions and usage details in the ksail GitHub repository at github.com/devantler-tech/ksail. The project has 165 stars and 13 forks, indicating an active community.
The top alternatives to ksail on Agent Skills Hub include k8s-mcp-server, mcp-for-argocd, mcpcan. 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: