An automated, fail-safe system for modifying Openclaw configuration files with built-in validation, repair, and learning feedback loops.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install safe-config-workflow-zh
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 safe-config-workflow-zh 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 Safe Config Workflow?
The Safe Config Workflow is a specialized protocol designed to handle modifications to Openclaw Skills configuration files with a focus on system stability and error prevention. It automates the process of checking, repairing, and validating changes to the openclaw.json file, ensuring that manual edits do not lead to gateway failures or service interruptions.
By integrating official documentation lookups, user confirmation templates, and automated diagnostic tools like openclaw doctor, this workflow transforms configuration management from a risky manual task into a structured, reliable process. It emphasizes a learning-driven approach where small fixes are recorded to prevent recurring issues, making it an essential tool for maintaining high-performance AI agent environments.
Safe Config Workflow Use Cases
- Safely updating the primary configuration file located at ~/.openclaw/openclaw.json.
- Modifying Gateway settings or adjusting channel configurations without crashing the service.
- Changing sensitive AI model parameters, session settings, or authentication credentials.
- Performing automated system recovery and configuration repair after detecting invalid field values.
How Safe Config Workflow Works
- Reference official documentation and the config-validator schema to verify valid field values before modification.
- Present a detailed confirmation request to the user, outlining the changes, reasons, and potential risks.
- Apply the configuration changes and immediately run the doctor command with the fix flag for automated normalization.
- Perform a diff comparison between the new configuration and the auto-generated backup file.
- Log the results and lessons learned into a local MEMORY.md file to build a persistent knowledge base for Openclaw Skills.
- Wait for the process hot-reload to complete and verify the Gateway status via RPC probe.
Safe Config Workflow Setup
To utilize this workflow, ensure the Openclaw CLI is installed and configured. This workflow relies on standard CLI commands for system diagnostics.
# Verify current system health before starting
openclaw doctor
# Ensure the gateway is running to allow for hot-reloads
openclaw gateway status
Safe Config Workflow Data Schema & Taxonomy
The workflow interacts with several key files and metadata structures to ensure data integrity:
| File/Component | Description | Purpose |
|---|---|---|
| openclaw.json | Primary configuration file | Stores gateway, channel, and model settings. |
| openclaw.json.bak | Automatic backup | Created before any write operation for easy rollback. |
| MEMORY.md | Knowledge log | Stores patterns of fixed errors and correct configuration values. |
| config-validator | Schema reference | Used to validate data types and mandatory fields. |
Safe Config Workflow Advanced Features
- Intelligent AI filtering that summarizes complex doctor output into actionable highlights for the user.
- Automated hot-reload support using SIGUSR1 signals for zero-downtime configuration application.
- Robust troubleshooting mode that functions even when the Gateway RPC is unresponsive by checking the file system directly.
- Strategic feedback loops that distinguish between minor spelling fixes and critical configuration changes for Openclaw Skills.
SKILL.md
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