agent-log-analysis

Agent log analysis extracts prompts, tool calls, and artifacts from session logs to produce standardized audit reports. When failures occur, it applies mandatory fishbone root-cause analysis to generate remediation-ready findings.

Fishbone root cause analysis is a required reasoning method used during agent log audits to prevent shallow conclusions. It structures the investigation into why an autonomous agent failed, ensuring evidence-based remediation findings.

Yes, agent log analysis applies to troubleshooting autonomous agent failures and verifying protocol compliance using GitHub Actions log artifacts. It processes these local and CI logs to generate structured telemetry summaries.

You verify skill loading and protocol compliance by using agent log analysis to extract skill-loading attempts and tool calls from session logs. This produces a standardized audit report with visualizations of tool utilization.

An agent log audit report includes mandatory structured Markdown output, extracted telemetry summaries, tool and command utilization visualizations, and an Ishikawa root-cause analysis section when errors are detected.

Yes, agent log analysis operates with no external dependencies or components, processing raw session logs directly to generate standardized visual audit outputs and remediation-ready findings.