Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by ongridio · MCP Server · ★ 1.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ongrid safe to install? View the security audit →
Ongrid An ops AI Agent that understands your infrastructure, finds the root cause, and fixes it — right from Slack or Telegram. Metrics · logs · traces · topology blast-radius · root-cause correlation · remote execution · alert-driven auto-investigation · RAG knowledge & code search · specialist agents & skills. [](https://join.slack.com/t/ongrid-co/sharedinvite/zt-400skx7hz-WU1nmF1XVYH4S
| Stars | 1,063 |
| Forks | 226 |
| Language | Go |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 67.1437774712698/100 |
| Open Issues | 73 |
| Last Updated | 2026-09-20 |
| Created | 2026-05-23 |
| Platforms | go, k8s, mcp |
| Est. Tokens | ~17k |
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ongrid is An ops AI Agent that understands your infrastructure, finds the root cause, and fixes it — right from Slack, Telegram, Lark or DingTalk.. It is categorized as a MCP Server with 1.1k GitHub stars.
ongrid is primarily written in Go. It covers topics such as ai-agents, aiops, alerting.
You can find installation instructions and usage details in the ongrid GitHub repository at github.com/ongridio/ongrid. The project has 1.1k stars and 226 forks, indicating an active community.
ongrid is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to ongrid on Agent Skills Hub include holmesgpt, nudgebee, aura. 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: