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 →
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Aurora Open source AI agent for automated incident investigation & root cause analysis <a
| Stars | 387 |
| Forks | 68 |
| Language | Python |
| Category | AI Tool |
| License | Apache-2.0 |
| Quality Score | 65.5417861107781/100 |
| Open Issues | 49 |
| Last Updated | 2026-08-07 |
| Created | 2026-01-22 |
| Platforms | python |
| Est. Tokens | ~266k |
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aurora is Aurora is an automated root cause analysis investigation tool that uses agents to solve incidents for Site Reliability Engineers. It is categorized as a AI Tool with 387 GitHub stars.
aurora is primarily written in Python.
You can find installation instructions and usage details in the aurora GitHub repository at github.com/Arvo-AI/aurora. The project has 387 stars and 68 forks, indicating an active community.
aurora is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to aurora on Agent Skills Hub include EDRSilencer, perf-map-agent, shaping-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.