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openclaw-whisperer

Diagnose and remediate OpenClaw gateway, channel, sandbox, and configuration errors.

Updated Aug 23, 2026
Search Tags:#docker#auto-fix#diagnostics#openclaw#clawhub#skill-recommender
One-click install
npx skills add https://github.com/xintuchain/tongtong --skill openclaw-whisperer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openclaw-whisperer
Source: https://github.com/xintuchain/tongtong/tree/main/skills/openclaw-whisperer
Command: npx skills add https://github.com/xintuchain/tongtong --skill openclaw-whisperer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires click, rich, requests, beautifulsoup4, and includes scripts (resource) and references (resource) components.

What problem does it solve?

OpenClaw Whisperer centralizes diagnostics, automated recovery, and skill recommendations to reduce time spent troubleshooting self-hosted OpenClaw gateways and channel integrations. It helps operators detect root causes from logs, apply vetted fixes, and surface complementary skills to improve resilience and recovery outcomes.

Core Features & Use Cases

  • Error Fixer: multi-layer error diagnosis (exact code, regex, semantic) with safe auto-fix recipes and dry-run support.
  • Skill Recommender: smart ClawHub recommendations enriched by complementary-skill relationships and cache-aware scoring.
  • Enhanced Doctor: extended diagnostics including system checks, network tests, port analysis, and deep log parsing.
  • Recovery & Tracking: fix execution history, success-rate tracking, evolver/workflow suggestions, and notification hook suggestions.
  • Self-Updater & Setup Wizard: keep references and caches current and provide interactive first-time setup for OpenClaw.
  • Use Case: triage a failing gateway, resolve EADDRINUSE or auth errors, reset sandbox containers, and recommend integration skills.

Quick Start

Run the error-fixer to analyze recent logs, review suggested fixes, and perform a dry-run before applying safe auto-fixes.

Frequently Asked Questions about openclaw-whisperer

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

FAQPage Schema
How do I diagnose OpenClaw gateway errors from local logs?▼

Diagnose OpenClaw gateway errors by running the Python CLI error-fixer to analyze recent logs via multi-layer detection, review suggested fixes, and perform a dry-run before applying safe auto-fix recipes. It checks system configurations and parses deep log data to identify root causes.

Can I use this to auto-fix EADDRINUSE or sandbox container issues in Docker?▼

Yes, you can auto-fix EADDRINUSE or sandbox container issues in Docker. The tool provides guarded fix recipes with safe_auto flags to reset sandbox containers and resolve port conflicts for self-hosted OpenClaw installations during local execution.

How do I troubleshoot OpenClaw channel integrations and configuration failures?▼

Troubleshoot OpenClaw channel integrations and configuration failures using the Enhanced Doctor feature. It performs extended diagnostics including network tests, port analysis, and deep log parsing to detect integration errors and suggest automated remediation steps.

Do I need Python and ClawHub CLI to run OpenClaw diagnostics?▼

You need local Python execution with click, rich, requests, and beautifulsoup4 dependencies to run OpenClaw diagnostics. Optional ClawHub CLI integration is required only if you want to use the skill recommender for smart skill discovery and cache-aware scoring.

What is the best way to find complementary skills for a self-hosted OpenClaw setup?▼

Find complementary skills for a self-hosted OpenClaw setup using the Skill Recommender. It leverages ClawHub recommendations enriched by complementary-skill relationships and cache-aware scoring to surface vetted integration skills that improve gateway resilience.

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