Analyze dlab session runs

Analyze dlab session directories, logs, and outputs to interpret run outcomes.

Updated Mar 19, 2026
One-click install
npx skills add https://github.com/benmaier/decision-agent-placeholder --skill analyze-dlab-session-runs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Analyze dlab session runs
Source: https://github.com/benmaier/decision-agent-placeholder/tree/main/.claude/skills/run-analyzer
Command: npx skills add https://github.com/benmaier/decision-agent-placeholder --skill analyze-dlab-session-runs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Navigate and analyze completed dlab session directories to understand what happened during a run — explore logs, outputs, parallel agent results, and the skills/prompts that shaped the analysis.

Core Features & Use Cases

  • Guided exploration of a dlab session: from state.json to orchestrator and parallel run outputs.
  • Inspect _opencode_logs and summary files to evaluate performance, diagnoses, and uncertainty handling.
  • Use for audits, debugging, and capacity planning of decision packs.

Quick Start

Open the session directory and review main.log, _opencode_logs, and parallel run summaries to assess agent behavior and results.

Frequently Asked Questions about Analyze dlab session runs

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

FAQPage Schema
How do I analyze dlab session logs to debug orchestrator behavior?▼

To analyze dlab session logs, open the session directory and examine main.log and _opencode_logs to trace orchestrator behavior, verify parallel agent results, and identify execution issues across runs.

What is the best way to audit parallel agent results in a completed dlab session?▼

Auditing parallel agent results involves inspecting the session's state.json and parallel run summary files to evaluate performance, diagnoses, and how well prompts and domain skills aligned with outcomes.

Can I use this approach to review decision-pack performance across multiple dlab runs?▼

Yes, you can review decision-pack performance by navigating completed session directories to compare outputs, assess uncertainty handling, and conduct capacity planning based on orchestrator and parallel run summaries.

How do I check uncertainty handling and diagnoses from dlab parallel run outputs?▼

Check uncertainty handling and diagnoses by inspecting the _opencode_logs and summary files within the session directory to evaluate how parallel agents processed diagnoses and managed uncertain outcomes.

What files do I need to inspect to verify dlab orchestrator behavior and session state?▼

You need to inspect the session directory's state.json, main.log, and _opencode_logs to verify orchestrator behavior, trace execution flow, and validate the alignment of prompts with results.