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

<https://repo.masters-masters.com/en/repos/Raj-glitch-max/kubernetes-llm-incident-response-benchmark>

[Home](https://repo.masters-masters.com/en) › [Raj-glitch-max](https://repo.masters-masters.com/en/owners/Raj-glitch-max) › [kubernetes-llm-incident-response-benchmark](https://repo.masters-masters.com/en/repos/Raj-glitch-max/kubernetes-llm-incident-response-benchmark)

Raj-glitch-max/kubernetes-llm-incident-response-benchmark has 122 stars on GitHub. Its RepoMasters card: Prototype tier. Benchmark measuring whether an LLM…

| Field | Value |
| --- | --- |
| Owner | [Raj-glitch-max](https://repo.masters-masters.com/en/owners/Raj-glitch-max) |
| Stars | 122 |
| Forks | 1 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2026 |
| Topics | benchmark, chaos-engineering, incident-response, kubernetes, llm-evaluation, observability, sre |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Raj-glitch-max/kubernetes-llm-incident-response-benchmark](https://github.com/Raj-glitch-max/kubernetes-llm-incident-response-benchmark) |

## Repository

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.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.