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 agamm · Agent Tool · ★ 83
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-ai-sre safe to install? View the security audit →
Awesome AI SRE Applying artificial intelligence to site reliability engineering — autonomous incident response, intelligent observability, and self-healing infrastructure. Contents AI SRE Agents AI Production Debugging Incident Management Observability Platforms AIOps Platforms Log Analysis and Anomaly Detection Chaos Engineering Runbook Automation Cloud Cost Optimization LLM-Powered DevOps Tools Agent Benchmarks Research Papers Blogs and Newsletters Community Lists AI SRE Agents Autonomous AI agents purpose-built for SRE workflows — investigating alerts, performing root cause analysis, and resolving incidents with minimal human intervention. Resolve AI - Autonomous SRE platform by OpenTelemetry co-creators that targets 80% autonomous resolution rate with parallel hypothesis investigation. Cleric - Autonomous AI SRE teammate tha
| Stars | 83 |
| Forks | 35 |
| Category | Agent Tool |
| License | CC0-1.0 |
| Quality Score | 55.2974110007513/100 |
| Open Issues | 2 |
| Last Updated | 2026-07-31 |
| Created | 2026-03-03 |
| Platforms | k8s |
| Est. Tokens | ~9k |
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awesome-ai-sre is A curated list of 100+ AI-powered tools, platforms, and resources for Site Reliability Engineering (SRE) — agents, incident management, observability, AIOps, chaos engineering, and more.. It is categorized as a Agent Tool with 83 GitHub stars.
You can find installation instructions and usage details in the awesome-ai-sre GitHub repository at github.com/agamm/awesome-ai-sre. The project has 83 stars and 35 forks, indicating an active community.
awesome-ai-sre is released under the CC0-1.0 license, making it free to use and modify according to the license terms.
The top alternatives to awesome-ai-sre on Agent Skills Hub include nudgebee, aura, deepticket. 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: