Analyze dlab session runs

Analyze dlab session logs and outputs for convergence, consistency, and errors.

178|13|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/pymc-labs/decision-lab --skill analyze-dlab-session-runs-pymc-labs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Analyze dlab session runs
Source: https://github.com/pymc-labs/decision-lab/tree/main/.claude/skills/run-analyzer
Command: npx skills add https://github.com/pymc-labs/decision-lab --skill analyze-dlab-session-runs-pymc-labs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the process of navigating and analyzing completed dlab session directories, allowing users to easily understand what happened during a run, explore logs, outputs, and the skills/prompts that shaped the analysis.

Core Features & Use Cases

  • Session Directory Navigation: Provides a guide on how to navigate a completed dlab session directory structure.
  • Log Analysis: Offers instructions on reading and interpreting logs to understand agent actions and performance.
  • Result Evaluation: Assists in evaluating the quality of the results by checking for convergence, consistency, and error handling.
  • Use Case: For a user who has run a dlab session and wants to understand the outcomes, this skill can be used to review the logs, outputs, and state.json to determine the success of the analysis.

Quick Start

Analyze the run in the directory '/path/to/session' to understand the outcomes and performance of the dlab session.

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 check for convergence and errors?

To analyze dlab session logs, you review the completed session directory structure to interpret agent actions and evaluate result quality by checking for convergence, consistency, and error handling.

What is the best way to navigate a completed dlab session directory?

Navigating a completed dlab session directory involves exploring the generated logs, outputs, and state.json file to understand the run's performance and determine the overall success of the analysis.

How do I evaluate the success of a dlab session run?

Evaluating the success of a dlab session run requires examining the outputs and logs to identify consistency, verify convergence, and detect any errors or issues that occurred during the analysis.

Do I need prior knowledge of dlab session structure to interpret run logs?

Yes, interpreting dlab session logs assumes you have a basic understanding of the dlab session structure and log analysis to effectively determine the outcomes and performance of the run.

Why does my dlab session analysis show inconsistent results in the logs?

Inconsistent dlab session results can be identified by analyzing the session logs and state.json to check for convergence issues, error handling failures, or disruptions during the agent run.

Can I use this approach to review the prompts that shaped my dlab session analysis?

Yes, analyzing a completed dlab session directory allows you to explore and review the specific skills and prompts that shaped the analysis alongside the logs and outputs.