Can it detect if a specific service like Redis is causing a system-wide crash?

Yes, the skill includes 'Cascade Detection' logic to identify if a shared dependency failure (like Redis) is triggering restarts across the entire service mesh.

What parts of the Buttercup stack does this cover?

It covers the entire stack including Infrastructure (Redis, DinD), Orchestration (Scheduler), Fuzzing (build-bot, fuzzer-bot), and Analysis (patcher, seed-gen) layers.

When should I use the debug-buttercup skill?

Use this skill when pods in the 'crs' namespace are in CrashLoopBackOff, Redis is unresponsive, queues are growing without progressing, or nodes show resource pressure.

Does this skill support deployment tasks?

No, this skill is specifically for debugging and triage. For initial deployments or upgrades, you should use the standard Helm and deployment guides.

Buttercup CRS Debugger

Name: Buttercup CRS Debugger
Author: plurigrid

byplurigrid

•

분석 및 모니터링

Diagnoses and resolves operational issues within the Buttercup Cyber Reasoning System running on Kubernetes.

The Buttercup CRS Debugger is a specialized diagnostic tool designed for the Buttercup Cyber Reasoning System (CRS). It provides a structured approach to troubleshooting complex distributed systems within the 'crs' Kubernetes namespace, covering everything from pod lifecycle failures like CrashLoopBackOff and OOMKilled to deep Redis queue inspection. By automating triage workflows and log analysis across services like fuzzer-bots, schedulers, and patchers, it helps developers quickly identify root causes such as cascade failures, resource pressure, or Docker-in-Docker (DinD) connectivity issues.

주요 기능

01Distributed tracing integration via OpenTelemetry and Signoz

028 GitHub stars

03Node-level and pod-level resource pressure monitoring (CPU, RAM, Disk)

04Real-time log aggregation and historical crash analysis across microservices

05Automated Kubernetes triage and event filtering for the crs namespace

06Deep Redis diagnostics including stream length and consumer group lag

사용 사례

01Troubleshooting stalled task queues and scheduler logic bottlenecks

02Debugging Docker-in-Docker (DinD) failures within automated build pipelines

03Identifying cascade failures caused by Redis connectivity or persistence issues

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi debug-buttercup

For use in Claude.ai and ChatGPT

Download Skill