by EthanChan050430 · MCP Server · ★ 68
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Next-gen AI-native server ops panel with an in-workspace SRE agent. Crash self-healing, safe rollbacks, Docker/game servers, and local Ollama support.
| Stars | 68 |
| Forks | 1 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 55.0341650787553/100 |
| Last Updated | 2026-09-17 |
| Created | 2026-04-28 |
| Platforms | docker, mcp, node |
| Est. Tokens | ~13k |
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Saki-Panel is Next-gen AI-native server ops panel with an in-workspace SRE agent. Crash self-healing, safe rollbacks, Docker/game servers, and local Ollama support.. It is categorized as a MCP Server with 68 GitHub stars.
Saki-Panel is primarily written in TypeScript. It covers topics such as ai-agent, devops, docker.
You can find installation instructions and usage details in the Saki-Panel GitHub repository at github.com/EthanChan050430/Saki-Panel. The project has 68 stars and 1 forks, indicating an active community.
Saki-Panel is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to Saki-Panel on Agent Skills Hub include homelab-monitor, os-moda, kastell. 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: