An AI-powered maintenance agent that intelligently assesses the risk of system updates before deciding to automate or report.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install smart-auto-updater
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 smart-auto-updater 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 Smart Auto-Updater?
Smart Auto-Updater is an advanced automation skill designed to bring safety and intelligence to the update lifecycle. By utilizing Large Language Models (LLMs), it moves beyond traditional version checking to perform deep impact assessments on changelogs and diffs. This ensures that maintenance for your environment and various Openclaw Skills remains hands-off without sacrificing system stability.
The skill evaluates updates across three critical dimensions: architecture, performance, and compatibility. By classifying risks into high, medium, or low levels, it provides developers with a robust safety net that prevents breaking changes from being applied automatically while ensuring critical security patches and bug fixes are deployed instantly.
Smart Auto-Updater Use Cases
- Automating routine maintenance of Openclaw Skills while preventing breaking changes.
- Receiving technical impact reports for major architectural updates before manual deployment.
- Implementing a tiered update strategy where only low-risk patches are applied autonomously.
- Maintaining up-to-date environments across distributed development setups using ClawHub.
How Smart Auto-Updater Works
- The agent triggers a check phase to identify available core updates and new versions of individual Openclaw Skills via ClawHub.
- It fetches and prepares the associated changelogs and code diffs for analysis.
- The AI analysis phase uses a configured LLM to evaluate the potential impact on system architecture and compatibility.
- A risk level (LOW, MEDIUM, or HIGH) is assigned based on the severity of the detected changes.
- During the decision phase, the agent compares the risk level against user-defined thresholds to either execute the update or skip it.
- A comprehensive report is generated, providing the user with a summary of the assessment and the final action taken.
Smart Auto-Updater Setup
To begin using this skill, you can spawn a new session with the agent. You can also configure its behavior using environment variables.
# Run a standard update check
openclaw sessions spawn \
--agentId smart-auto-updater \
--message "Run smart update check"
# Configure risk tolerance and automation levels
export SMART_UPDATER_AUTO_UPDATE="LOW"
export SMART_UPDATER_RISK_TOLERANCE="MEDIUM"
Smart Auto-Updater Data Schema & Taxonomy
The skill organizes its assessment data into a structured report format containing the following metadata:
| Component | Description |
|---|---|
| Version Diff | The transition from the current version to the available version. |
| Risk Level | Categorization (HIGH/MEDIUM/LOW) based on AI impact assessment. |
| Impact Assessment | Detailed notes on architecture, performance, and compatibility. |
| Decision | The resulting action taken (AUTO-UPDATED or SKIPPED). |
| Recommendations | Human-readable steps for manual intervention if an update is skipped. |
Smart Auto-Updater Advanced Features
- Custom AI model integration allows users to specify their preferred LLM for risk analysis via environment variables.
- Granular risk tolerance settings provide the flexibility to define exactly which risk levels qualify for automatic deployment.
- Multi-level reporting allows users to choose between brief summaries or full technical impact reports.
- Integration ready for cron and background jobs to facilitate fully autonomous maintenance of all Openclaw Skills.
SKILL.md
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