openclaw-troubleshooting

Diagnose and repair OpenClaw environment issues with dependency and permission checks.

Updated Aug 23, 2026

Search Tags:#automation #troubleshooting #dependencies #permissions #workspace #diagnose #openclaw

Ready to run

npx skills add https://github.com/xintuchain/tongtong --skill openclaw-troubleshooting-xintuchain

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: openclaw-troubleshooting
Source: https://github.com/xintuchain/tongtong/tree/main/skills/openclaw-troubleshooting
Command: npx skills add https://github.com/xintuchain/tongtong --skill openclaw-troubleshooting-xintuchain

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, beautifulsoup4, lxml, json5, python-dotenv, and includes scripts (resource) components.

What problem does it solve?

Quickly identifies and resolves common OpenClaw environment failures that prevent skills from loading or running, including missing Python packages, incorrect permissions, and broken workspace structure.

Core Features & Use Cases

Automated Environment Diagnosis: Collects OS, Python, OpenClaw, dependency, permission, and workspace information into a readable report.
Automated Remediation: Installs missing Python packages, fixes filesystem permissions, and creates required workspace directories.
Use Case: When an OpenClaw skill fails to load on a new machine, run the diagnosis to detect missing dependencies and permission issues, then apply automated fixes to restore a working environment.

Quick Start

Run the openclaw-troubleshooting diagnose system command to generate a full environment report and auto-fix common issues.

Frequently Asked Questions about openclaw-troubleshooting

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

FAQPage Schema

Why does my OpenClaw skill fail to load on a new machine?▼

OpenClaw skills fail to load due to missing Python packages, incorrect filesystem permissions, or broken workspace structure. An automated diagnosis checks system information and dependencies to pinpoint the exact environment failure.

How do I diagnose OpenClaw dependency mismatches and permission errors?▼

Diagnosing OpenClaw dependency and permission errors involves running a script that collects OS, Python, and workspace information. This generates a structured report detailing installed and missing dependencies to identify root causes.

Can I automatically fix missing Python packages and workspace directories in OpenClaw?▼

Automated remediation can install missing Python packages and create required workspace directories automatically. It fixes filesystem permissions and applies necessary repairs to restore a working OpenClaw environment.

What do I need to run OpenClaw troubleshooting and repair scripts?▼

Running OpenClaw repair scripts requires the ability to execute pip installs and modify filesystem permissions. Dependencies like requests, beautifulsoup4, and python-dotenv must be available to generate environment reports.

Does automated troubleshooting work for OpenClaw deployment scenarios?▼

Automated troubleshooting works for OpenClaw deployment scenarios by checking system information and workspace structure. It detects environment failures that prevent skills from loading and applies fixes for dependency mismatches.