← ClaudeAtlas

log-triagelisted

Mine OmniLLM and Claude Code logs from the past two days by default, correlate runtime failures, and determine which issues are fixable in the OmniLLM codebase. Use when asked to "check the logs", "find bugs from logs", "improve the project", or during periodic health reviews.
OmniLLM/omnillm · ★ 3 · AI & Automation · score 76
Install: claude install-skill OmniLLM/omnillm
# OmniLLM Log Triage & Improvement Goal: turn correlated runtime evidence from OmniLLM and Claude Code into actionable findings and, when requested, verified code improvements, while separating OmniLLM defects from client, plugin, configuration, and environment issues. ## 1. Gather evidence Unless the user gives another window, inspect the **past 2 days**. Apply the time filter before counting or sampling so older incidents do not distort the result. Report the requested window and the actual timestamp range present in each log. ### OmniLLM logs Primary sources: - `~/.omnillm/omnillm.log` and rotated `omnillm.log.*` - `.omni-dev.log` in the repository root The OmniLLM log is JSON-lines (zerolog). Key fields: `level`, `request_id`, `api_shape`, `model_requested`, `model_used`, `provider`, `stop_reason`, `stream`, `input_tokens`, `output_tokens`, `latency_ms`, `status`, `path`, `message`, and the timestamp field (`time` or `timestamp`). Filter JSON entries to the window first, then run these passes over the filtered data: 1. Non-info levels (`warn`, `error`, `fatal`, `panic`). 2. HTTP failures grouped by status and path. 3. Failures grouped by provider, requested model, and message. 4. Latency and time-to-first-token outliers. 5. Request IDs with an initial request but no terminal response; exclude completed retries and expected stream cancellations. 6. Token/context anomalies such as near-limit input or zero output. 7. Repeated retry, timeout, serialization, upstream-