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 kubetail-org · Claude Skill · ★ 85
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is kstack safe to install? View the security audit →
kstack Skill pack for Claude Code that helps you monitor your K8s clusters superintelligently English Français Introduction Kstack is a skill pack for Claude Code that helps you perform monitoring, troubleshooting and auditing tasks on your K8s clusters in a smart and efficient way. In addition to using standard tools like , it hands off shell work to tools like Kubetail, Helm, Trivy, [Pluto](https://github.com/Fai
| Stars | 85 |
| Forks | 8 |
| Language | Shell |
| Category | Claude Skill |
| License | Apache-2.0 |
| Quality Score | 64.9626504882716/100 |
| Open Issues | 2 |
| Last Updated | 2026-05-08 |
| Created | 2026-05-06 |
| Platforms | claude-code, cli, codex, k8s |
| Est. Tokens | ~17k |
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kstack is Skill pack for Claude Code that helps you monitor and troubleshoot your K8s clusters superintelligently. It is categorized as a Claude Skill with 85 GitHub stars.
kstack is primarily written in Shell. It covers topics such as agents, ai, claude.
You can find installation instructions and usage details in the kstack GitHub repository at github.com/kubetail-org/kstack. The project has 85 stars and 8 forks, indicating an active community.
kstack is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to kstack on Agent Skills Hub include kelos, argus, ai-agent-session-center. 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: