firecrawl-load-scale

The skill's footprint is coherent with its stated purpose of load testing, auto-scaling, and capacity planning for FireCrawl integrations. It uses standard, verifiable tooling (k6, kubectl, Kubernetes HPA) and relies on environment-provided API keys rather than embedded secrets. Data flows are consistent with performance testing workflows, and there is no evident credential harvesting, malicious exfiltration, or supply-chain compromise. Overall risk is low-to-medium, with no components suggesting malicious intent. Recommend usage within secure CI/CD environments and standard security reviews for secret handling and access to cluster resources.