Raj-glitch-max/kubernetes-llm-incident-response-benchmark

Benchmark measuring whether an LLM actually reads cluster evidence before diagnosing a Kubernetes incident, or just guesses confidently. Chaos injection, evidence ablation, cross-model scoring.

GitHub repository with 120 stars and 1 forks.

Language: Python

Topics: benchmark, chaos-engineering, incident-response, kubernetes, llm-evaluation, observability, sre

Open provider repository

24h trend summary

Trending score 0.88, freshness score 0.32, stars gained +5, forks gained +0.

Latest metric snapshot

2026-11-02: 120 stars and 1 forks.

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