run-analysis

Name: run-analysis
Availability: InStock
Author: BoHeWu

Analyze agents_pipeline workflows for correctness, complexity, robustness, and numerical validity.

1|Updated Feb 3, 2026

Search Tags:#workflow analysis #complexity assessment #correctness checking #post-hoc analysis #agents_pipeline

Ready to run

npx skills add https://github.com/bohewu/agents_pipeline --skill run-analysis-bohewu

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: run-analysis
Source: https://github.com/bohewu/agents_pipeline/tree/main/skills/run-analysis
Command: npx skills add https://github.com/bohewu/agents_pipeline --skill run-analysis-bohewu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses the need for a thorough post-hoc analysis of agents_pipeline workflows to ensure correctness, complexity management, robustness, and numerical validation.

Core Features & Use Cases

Correctness Analysis: Verify the accuracy of workflow outputs.
Complexity Management: Assess the complexity of the workflow.
Robustness Testing: Ensure the workflow can handle unexpected inputs.
Numerical Findings: Provide statistical analysis of the workflow's numerical outputs.
Use Case: After deploying a workflow, use this Skill to automatically check its performance against a set of predefined criteria.

Quick Start

Run the $run-analysis command to analyze the current agents_pipeline workflow.

Frequently Asked Questions about run-analysis

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

FAQPage Schema

How do I perform post-hoc analysis on agents_pipeline workflows?▼

Post-hoc analysis of agents_pipeline workflows is performed by running the $run-analysis command to automatically validate correctness, complexity, robustness, and numerical outputs against predefined criteria.

What does workflow correctness checking involve in agents_pipeline?▼

Workflow correctness checking in agents_pipeline involves verifying the accuracy of workflow outputs and validating their operational effectiveness after deployment to ensure they meet expected performance criteria.

Do I need the global profile manager to run complexity assessment on my agents_pipeline?▼

Yes, you need the global profile manager to access the current workspace status, which is required to perform complexity assessment and robustness testing on your agents_pipeline workflows.

Can I test the robustness of an agents_pipeline workflow against unexpected inputs?▼

You can test the robustness of an agents_pipeline workflow by running a post-hoc analysis to ensure the workflow can properly handle unexpected inputs and maintain operational stability.

What's the best way to validate numerical findings in agents_pipeline workflows?▼

The best way to validate numerical findings in agents_pipeline workflows is to use a dedicated post-hoc analysis skill that provides statistical analysis and evaluates the numerical outputs for correctness.

When should I run post-hoc analysis on my agents_pipeline?▼

You should run post-hoc analysis on your agents_pipeline immediately after deploying a workflow to automatically check its performance, verify output correctness, and assess complexity management.