What problem does it solve?
Identify and surface performance regressions, slow responses, errors, and session-level metrics for Clawdbot so operators can quickly triage outages and optimize behavior.
Core Features & Use Cases
- Analyze response times across recent runs to flag slow assistant executions and long-running tool invocations.
- Aggregate session statistics, token usage, compaction status, and recent API cost summaries from per-session JSON and JSONL files.
- Inspect system journal and gateway service state to locate configuration errors, tool failures, and Telegram activity that affect bot performance.
- Use Case: When users report slow replies, run response time analysis, check session token counts, and review recent journal errors to determine if a compaction or new session is needed.
Quick Start
Ask the skill to analyze the last 20 Clawdbot runs, list slow responses and recent errors, and summarize token usage and session cost.