Audit microservice runtime configurations and generate Part 10 documentation.
npx skills add https://github.com/Muath2000/TradeStation --skill runtime-analyst
Please help me install this Agent Skill. Skill: runtime-analyst Source: https://github.com/Muath2000/TradeStation/tree/main/.claude/skills/runtime-analyst Command: npx skills add https://github.com/Muath2000/TradeStation --skill runtime-analyst
This Skill automates the comprehensive auditing and documentation of a service's runtime configuration and deployment topology, ensuring production readiness and identifying potential risks.
Run a quick 5-minute audit of the runtime configuration for all services.
High-intent search queries and answers about installing and using this skill.
Auditing Kubernetes manifests and Dockerfiles involves analyzing containerization, orchestration, environment configuration, resource limits, and runtime security to validate production readiness and identify deployment risks. This generates Part 10 documentation.
Runtime configuration audit is the process of analyzing Dockerfiles, container settings, environment variables, and resource allocations for microservices. It verifies deployment topology, health probes, and startup sequences to ensure reliability and security.
Documenting deployment topology requires analyzing orchestration manifests like Kubernetes and Docker Compose to map out health probes, startup sequences, and infrastructure dependencies. This produces comprehensive Part 10 documentation for the service.
Yes, you can analyze Docker Compose and Helm charts to audit resource limits, port mappings, environment variables, and runtime security contexts. This validates the configuration against strict production readiness standards.
The best way to generate deployment documentation is to automate the analysis of Dockerfiles, Kubernetes manifests, and Helm charts. This audits container setup, resource allocation, and security context to produce detailed Part 10 documents.
Microservice deployments fail production readiness checks due to missing or misconfigured health probes, inadequate resource limits, improper startup sequences, or runtime security vulnerabilities found within Dockerfiles and Kubernetes manifests.
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