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.