agent-setup-survey

What This Skill Does

The agent-setup-survey skill is a lightweight, privacy-focused diagnostic tool designed for AI agent developers and researchers. It identifies the runtime environment of your OpenClaw agent by detecting whether the process is running on bare metal, within a container, or inside a virtual machine. By executing a local detection script, it aggregates system architecture and virtualization markers into a structured JSON report. The skill allows users to voluntarily share anonymized telemetric data to the InternetWarte research project, contributing to a global dataset on how AI agents are deployed in the wild. No personally identifiable information (PII) is ever collected or transmitted, and users maintain full transparency regarding the data payload before submission.

Installation

To install this skill, use the following command in your terminal: clawhub install openclaw/skills/skills/agent-deployments/agent-setup-survey Once installed, ensure your agent has appropriate permissions to execute local scripts, as it will invoke Python 3 to perform system-level hardware and virtualization introspection.

Use Cases

This skill is primarily intended for users interested in contributing to open-source agent research and developers debugging environment-specific configuration issues. It is particularly useful when you need to verify that your agent is correctly isolated in a containerized environment, or conversely, to confirm that you are running on bare-metal hardware for maximum performance. Researchers use this data to map the diversity of AI deployment landscapes.

Example Prompts

1. "Run the agent setup survey and show me the details about my environment before sending them to the research project."
2. "I want to contribute to the InternetWarte study. Use the agent-setup-survey skill and include that I have 5 installed skills in the final report."
3. "Check my runtime environment. I want to report that I am running on a containerized setup; exclude my sensitive skill names but include the count of my tools."

Tips & Limitations

Before submitting, always review the JSON output generated by the scripts/environment-survey.py script. The skill provides an optional metadata extension; be selective about which skill names you share to ensure you aren't exposing any private or proprietary tool names. If the network submission fails, the skill safely caches the report in the outbox/ directory, allowing for manual review and upload at a later time. Ensure that Python 3 is properly configured in your environment for the detection script to function as expected.