We Used Claude Code to FIX OpenClaw

Summary

If you've been using OpenClaw for a while, you've probably noticed it getting messier and less reliable over time. In this video, the BoxminingAI team walks you through a real-world example of how they used Claude Code to diagnose and fix their Banner agent, which handles YouTube updates, summaries, and thumbnail generation. Over time, Banner became unpredictable, sometimes generating thumbnails without faces, sometimes skipping summaries entirely. The root cause? Duplicate and conflicting skills that had accumulated organically as the agent evolved. To fix this, the team opened Claude Code directly inside the OpenClaw project folder using the command line on a VPS. By running the init command, Claude was able to scan the entire codebase and gain a full understanding of the project structure. From there, they simply talked to Claude, asking it to identify problems, and it surfaced three major issues. First, API credentials were scattered across multiple skill files instead of being stored in a single .env file. This meant that rotating a key required hunting through multiple locations, and any missed update would cause silent failures. Claude recommended consolidating everything into one .env file and adding it to .gitignore, a standard and secure coding practice. Second, organic skill growth had created serious duplication. For example, there were separate skills called YouTube Monitor and YouTube Content Scout that performed overlapping functions. When the agent ran, it would randomly pick one, leading to inconsistent behavior. The fix was to merge conflicting skills into a single unified pipeline with one orchestrator, which significantly improved reliability. Third, API quota limits were being hit silently. Instead of flagging the error, the agent would fabricate results, a common AI failure mode where the model tries to complete the task at any cost. Claude helped identify more efficient API call patterns to reduce usage and stay within limits. The entire process took around four hours, but the result was a cleaner, more predictable agent. The team also notes that Claude Code is free to use even with an API key, making this approach accessible. If you're running into similar issues with your own OpenClaw agents, this structured audit approach is worth trying before your setup gets any messier.