runtime-log-review

Review runtime query-session and retrieval-trace logs to surface actionable insights.

135|36|Updated Mar 21, 2026
One-click install
npx skills add https://github.com/JetXu-LLM/DocMason --skill runtime-log-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: runtime-log-review
Source: https://github.com/JetXu-LLM/DocMason/tree/main/skills/canonical/runtime-log-review
Command: npx skills add https://github.com/JetXu-LLM/DocMason --skill runtime-log-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a disciplined workflow to review runtime query-session and retrieval-trace logs, surfacing actionable insights instead of raw JSON dumps.

Core Features & Use Cases

  • Explicit operator-facing workflow to refresh or audit log surfaces.
  • Artifact-aware review that distinguishes committed truth from projections.
  • Guided escalation to provenance tracing and grounded answers when needed.

Quick Start

Instruct the agent to run the operator-focused log review workflow on the latest runtime data to generate a concise summary.

Frequently Asked Questions about runtime-log-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I review runtime logs to find actionable insights instead of raw JSON dumps?

Runtime log review applies a disciplined workflow to parse structured JSON outputs and surface actionable insights for operator-facing debugging rather than raw data dumps. It distinguishes committed truth from projections to generate concise summaries.

What is the best way to audit runtime logs for an incident postmortem?

Auditing runtime logs for incident postmortems involves applying a guided workflow with an audit trail to parse query-session and retrieval-trace logs. This surfaces provenance tracing and grounded answers needed for governance reviews.

How do I trace provenance during a runtime log review?

Provenance tracing during a runtime log review uses a guided escalation workflow to distinguish artifact-aware committed truth from projections. It parses structured JSON outputs to trace retrieval paths and surface grounded answers.

Do I need local file access to parse structured JSON outputs for runtime log reviews?

Yes, local file access to the runtime/logs directory is required to parse structured JSON outputs during a runtime log review. This access allows the operator-focused workflow to refresh or audit log surfaces effectively.

Can I use this log review workflow for governance audits across DocMason runtime activity?

Yes, the runtime log review workflow explicitly supports governance reviews across DocMason runtime activity by applying an audit trail. It evaluates query-session and retrieval-trace logs to provide artifact-aware governance insights.

What limitations exist when debugging runtime logs with structured JSON outputs?

Limitations during runtime log debugging include the strict requirement for local file access to runtime/logs and the ability to parse structured JSON outputs. Without proper structured data, the artifact-aware review and provenance escalation cannot function.