Add Observability to OpenClaw Agents with CLS
Dev.to / 6/9/2026
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Key Points
- OpenClaw agents can appear to be running while hiding key operational signals such as token costs, stuck background tasks, silent errors, and slow responses—an “invisible OpenClaw” issue for operators.
- The proposed fix is an OpenClaw observability Skill that integrates with Tencent Cloud Log Service (CLS), collecting OpenClaw runtime logs and producing a ready-to-use CLS dashboard after deployment.
- The article highlights four main pain points caused by lack of observability: unclear cost attribution at session/model/channel level, hidden agent health and queue/backlog growth, manual and fragmented conversation debugging, and exceptions detected only after failures occur.
- Deployment is described as a two-step flow: install the observability collection Skill (from the provided clawhub link) and then trigger CLS collector deployment via a specific agent phrase, with different deployment modes including conversational “one-click” style setup.
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