diagnose-system

Run minimal robotics configurations and classify failures into taxonomy categories.

Updated Aug 27, 2026

Search Tags:#bash #diagnose #taxonomy #robotics #formalization #failure #wandb

Ready to run

npx skills add https://github.com/ZhangHanbo/alpha_research --skill diagnose-system

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: diagnose-system
Source: https://github.com/ZhangHanbo/alpha_research/tree/main/skills/diagnose-system
Command: npx skills add https://github.com/ZhangHanbo/alpha_research --skill diagnose-system

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Researchers often formalize a robotics problem but lack visibility into why a minimal system fails, making it difficult to refine hypotheses and progress to the next research stage.

Core Features & Use Cases

Automated experiment execution: Locates and runs the minimal system configuration using Bash tools.
Failure collection and taxonomy: Gathers results from wandb or local logs and classifies failures into perception, planning, execution, physics, or spec categories.
Mapping to formal structure: Links each failure to elements of the formal problem representation to inform subsequent CHALLENGE or FORMALIZE steps.
Use Case: After a formalization check, a researcher can invoke this Skill to run a quick minimal trial, obtain a detailed failure breakdown, and decide whether to proceed or revisit the formal model.

Quick Start

Ask the AI to run the diagnose-system skill on the current project to produce a failure diagnosis report.

Frequently Asked Questions about diagnose-system

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

FAQPage Schema

How do I map system failures to formal problem representations in robotics?▼

To map robotics system failures to formal problem representations, execute the minimal configuration, classify failures into categories like perception or planning, and link each failure to formalism elements. This process clarifies why a minimal system fails and helps refine research hypotheses.

How to classify robotics experiment failures using wandb logs?▼

To classify robotics experiment failures using wandb logs, gather execution results via wandb APIs and apply a taxonomy classification. This categorizes failures into perception, planning, execution, physics, or spec categories to inform your formal problem representation.

Why does my minimal robotics system fail during the diagnose stage?▼

Your minimal robotics system fails during the diagnose stage due to issues in perception, planning, execution, physics, or spec categories. Automating experiment runs and analyzing logs identifies these specific failure points to map them back to the formal model.

Can I automate bash experiment runs to test a minimal robotics configuration?▼

Yes, you can automate bash experiment runs to test a minimal robotics configuration. The process locates and executes the minimal system setup using Bash commands, gathers the results, and maps each failure to the formal problem representation during diagnosis.

What is failure taxonomy classification in formal robotics research?▼

Failure taxonomy classification in formal robotics research is the process of categorizing experiment failures into perception, planning, execution, physics, or spec categories. It links these failures to formal problem representations to guide subsequent challenge or formalize steps.

Do I need wandb to categorize minimal system failures?▼

You do not strictly need wandb to categorize minimal system failures. The diagnosis process can gather results from wandb APIs or local logs, classifying the failures into taxonomy categories and mapping them to the formal problem representation.