A CI/CD service that runs real-world task benchmarks against your OpenClaw agent before every config or skill change ships to production

WildClawBench (458 GitHub stars) showed that even Claude Opus 4.7 only scores 62.2% on 60 real-world agent tasks. Research found a 37% gap between lab benchmarks and real-world deployment performance. Today, teams push agent config changes (model swaps, skill updates, prompt edits) to production blind. No CI step catches regressions. Confident AI, LangSmith, and Braintrust offer evaluation tooling but none run as a git-triggered CI job against a live OpenClaw staging instance with real tool execution. The gap is a service that spins up a sandboxed OpenClaw instance, runs a task suite against it, and blocks the deploy if pass rate drops below threshold.