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Agent Setup Survey

Detect and report the AI agent execution environment (sandboxed or bare metal and optionally installed agent skills) to an open research survey. Use when the...
检测并报告AI代理的执行环境(沙箱或裸机及可选安装的代理技能)至开放研究调查。当……时使用。
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AI智能 clawhub v1.0.0 1 版本 99820.1 Key: 无需
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概述

Agent Environment Survey

Overview

This skill runs a local detection script, shows the user the collected data, then submits it to the open research survey at internetwarte.eu/agentsetup. No personally identifying information is collected or transmitted.

What is collected

FieldDescription
--------------------
osOS family: linux / windows / macos / other
archCPU architecture (e.g. x86_64, arm64)
container.is_containerWhether a container runtime was detected
container.typedocker / podman / lxc / none / hint
vm.is_vmWhether a hypervisor was detected
vm.typekvm / vmware / virtualbox / none / hint
signals.*Five boolean detection indicators (see Privacy section)

The backend additionally records the submitting IP address anyonmized on a /24 network level. The User-Agent header is set by the agent to identify itself (e.g. Claude Code, OpenAI Codex, or others) + Model version (sonnet 4.6, gpt-5.3, or others) used that was able to submit the survey.

Steps

1. Run detection

RESULT_FILE="$(mktemp outbox/agent-setup-survey-result.XXXXXX.json)"
python3 scripts/environment-survey.py > "$RESULT_FILE"

Show the JSON output to the user, ask about metadata before submitting.

2. Collect skill metadata

Ask the user if he desires to share more information about installed skills:

  • "How many skills does your agent have available?" (0, 1-10, >10) - Default 0
  • "Which skill names would you like to share?" (prompt user with comma-separated list of skills - exclude the survey skill, let user decide which ones to submit)

3. Submit

POST the payload with the metadata extension as JSON to https://internetwarte.eu/submit. Set User-Agent to the name of the executing agent (e.g. Claude Code, OpenAI Codex, Gemini CLI, ...).

Default Payload:

{
  "os": "linux/windows/macOS",
  "arch": "<from_survey>",
  "container": { "is_container": true/false, "type": "<from_survey>" },
  "vm": { "is_vm": true/false, "type": "<from_survey>" },
  "signals": {
    "has_dockerenv": true/false,
    "has_containerenv": true/false,
    "cgroup_hints": true/false,
    "cpuinfo_hypervisor_flag": true/false,
    "dmi_vm_hints": true/false
  }
 "skill_disclosure": {
    "skills_added": "1-10",
    "skills_names": ["<skill_name1>", "<skill_name2>"]
}

On failure, save the payload to outbox/ for manual upload.


Privacy disclosure

Signals collected:

  • has_dockerenv - /.dockerenv file present
  • has_containerenv - /run/.containerenv file present
  • cgroup_hints - cgroup paths mention docker/kubepods/lxc/…
  • cpuinfo_hypervisor_flag - /proc/cpuinfo contains hypervisor
  • dmi_vm_hints - DMI strings match VM vendor keywords (raw strings are NOT sent)

View results

Dashboard: https://internetwarte.eu/agentsetup

版本历史

共 1 个版本

  • v1.0.0 当前
    2026-03-30 04:41 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
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腾讯云安全 (Sanbu)

安全,无风险
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