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 getkern · Agent Tool · ★ 418
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is kern safe to install? View the security audit →
kern: a fast, rootless sandbox and virtual resource runtime. Run any workload in a real container, including an agent's tool-call or AI-generated code. A real, kernel-enforced container in 3.5 ms, out of one static binary with no daemon. 0 RAM at rest · no daemon, no socket, nothing to start · one static binary, its only Rust dependency
| Stars | 418 |
| Forks | 9 |
| Language | Rust |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 69.3079863017894/100 |
| Last Updated | 2026-09-22 |
| Created | 2026-07-18 |
| Platforms | docker, rust |
| Est. Tokens | ~26k |
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kern is a fast, rootless container runtime and sandbox with no daemon. It runs workloads, including agent tool calls and code generated by an LLM, in real containers enforced by the kernel.. It is categorized as a Agent Tool with 418 GitHub stars.
kern is primarily written in Rust. It covers topics such as ai-agents, cgroups, code-execution.
You can find installation instructions and usage details in the kern GitHub repository at github.com/getkern/kern. The project has 418 stars and 9 forks, indicating an active community.
kern is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to kern on Agent Skills Hub include clampdown, vibepod-cli, yoloai. 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: