Analyze project-scoped bridge logs for Valor agent events and errors.
npx skills add https://github.com/tomcounsell/ai --skill checking-system-logs
Please help me install this Agent Skill. Skill: checking-system-logs Source: https://github.com/tomcounsell/ai/tree/main/.claude/skills/checking-system-logs Command: npx skills add https://github.com/tomcounsell/ai --skill checking-system-logs
This skill helps engineers debug Valor by filtering and inspecting bridge events and agent interactions on a per-project basis, making it easier to find what happened and where.
Run a targeted log search for the Valor project to identify recent agent responses and errors.
High-intent search queries and answers about installing and using this skill.
To debug Valor agent interactions, filter bridge logs by project to isolate relevant activity. Inspect event types such as message_received, agent_request, agent_response, and reply_sent to trace the sequence of messages and responses.
The best way to trace agent timeouts and errors in Valor bridge logs is to query the event taxonomy for agent_timeout and error events. This pinpoints failures and helps you trace the surrounding sequence of messages and responses within project-scoped logs.
You use jq and grep to extract event types from project logs by applying practical search patterns to the bridge log location. These queries filter events like message_received and agent_request to quickly extract debugging insights.
Yes, you can debug Valor agent requests and responses on a per-project basis. The log analysis workflow specifies a log location and event taxonomy to filter bridge events, isolating relevant agent activity for focused debugging sessions.
When debugging Valor system logs, look for event types including message_received, agent_request, agent_response, agent_timeout, reply_sent, and error. These events form the taxonomy for tracing agent interactions and debugging outcomes.
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