Saki-Panel: Next-gen AI-native server ops panel with an in-workspace SRE agent

by EthanChan050430 · MCP Server · ★ 184

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install Saki-Panel

git clone https://github.com/EthanChan050430/Saki-Panel.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 68/100

Flagged: sudo usage. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agentdevopsdockerfastifyhomelabincident-responselinuxlocal-llmmcpminecraft

Quick Facts

Stars184
Forks2
LanguageTypeScript
CategoryMCP Server
LicenseApache-2.0
Quality Score68/100
Open Issues2
Last Updated2026-11-07
Created2026-04-28
Platformsdocker, mcp, node
Est. Tokens~17k

About Saki-Panel

Saki Panel A server ops panel with an agent that can see, change, and run. High-risk work waits for your OK. Crashes get a fingerprint, a reviewed patch, and a rollback if it happens again. https://github.com/user-attachments/assets/e404ea96-7a17-4af2-ab1f-d4a45af1caca ▶ Play intro · Download 2K [](https://github.com/EthanChan050430/saki-plugin

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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