A comprehensive troubleshooting framework for identifying and resolving WhatsApp connectivity, ingestion, and runtime issues in AI agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install whatsapp-diagnostics
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install whatsapp-diagnostics using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is WhatsApp Diagnostics?
The WhatsApp Diagnostics skill is a critical maintenance tool within the Openclaw Skills ecosystem designed to ensure seamless communication between AI agents and users. It provides a structured decision tree and CLI-based tools to pinpoint why an agent might be unresponsive, whether the issue lies with the WhatsApp session, the gateway infrastructure, or the LLM runtime configuration.
By leveraging this skill, developers can minimize downtime for their automated assistants. It acts as a standardized protocol for debugging the lifecycle of a message—from the moment it leaves a user's phone to the moment the AI generates a response—making it an essential part of any production-grade deployment using Openclaw Skills.
WhatsApp Diagnostics Use Cases
- When a personal assistant agent is not responding to incoming messages despite being configured.
- Troubleshooting instances where the dashboard shows "Connected" but message counts remain at zero.
- Identifying API key failures, authentication errors, or billing issues preventing agent replies.
- Restoring expired WhatsApp sessions or re-linking accounts after a phone restart or inactivity.
- Verifying gateway integrity during initial setup of new Openclaw Skills agents.
How WhatsApp Diagnostics Works
- Run the Diagnostic Tree to categorize the problem as a Connection, Ingest, or Runtime issue based on dashboard metrics.
- Execute CLI commands to check the local gateway status and identify transport-layer failures.
- Analyze agent logs for specific error patterns like binding failures, session drops, or billing errors.
- Perform automated API key validation via curl requests to Anthropic, OpenAI, or Google endpoints.
- Interpret status codes and log outputs to either apply a fix or escalate to platform administration with a pre-formatted diagnostic report.
WhatsApp Diagnostics Setup
To utilize these diagnostic tools, ensure the OpenClaw CLI is active in your environment. You can perform manual checks or automate the process with the following commands:
# Check the status of the WhatsApp gateway
openclaw gateway status
# Restart the gateway service to clear ingest blocks
openclaw gateway restart
# Tail the agent logs to find specific runtime errors
grep -i "error" ~/.openclaw/logs/agent.log | tail -n 20
WhatsApp Diagnostics Data Schema & Taxonomy
The skill organizes troubleshooting data through the following taxonomy:
| Data Point | Source | Description |
|---|---|---|
| Gateway Status | CLI Output | Tracks if the protocol bridge is running, stopped, or in an error state. |
| Message Count | Dashboard | Used to distinguish between Ingest issues (count = 0) and Runtime issues (count > 0). |
| API Status Code | HTTP Check | Codes like 401 (Unauthorized) or 402 (Payment Required) pinpoint provider issues. |
| Log Patterns | Agent Logs | Identifies critical strings such as session dropped or binding failed. |
WhatsApp Diagnostics Advanced Features
- Custom Health Check Script: A bash-based automation that aggregates gateway, API, and log status into a single report.
- Multi-Provider Validation: Built-in support for testing Anthropic, OpenAI, and Google Gemini API keys.
- Escalation Protocol: Standardized criteria and templates for reporting infrastructure issues to platform administrators.
- Prevention Logic: Guidelines for session maintenance to prevent the 14-day inactivity logout typical of WhatsApp sessions.
SKILL.md
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