OpenClaw

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 user wants to contribute anonymous telemetry about their agent's runtime environment to the research project at `https://internetwarte.eu/agentsetup`.

agent-deployments0 来源安装数☆ 0 仓库 Stars

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install agent-deployments/agent-setup-survey

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

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

Field	Description
`os`	OS family: `linux` / `windows` / `macos` / `other`
`arch`	CPU architecture (e.g. `x86_64`, `arm64`)
`container.is_container`	Whether a container runtime was detected
`container.type`	`docker` / `podman` / `lxc` / `none` / `hint`
`vm.is_vm`	Whether a hypervisor was detected
`vm.type`	`kvm` / `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",
  "a...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/agent-deployments/agent-setup-survey
Version: —
Commit: 8bdb029b773185feba2a7000e2c07197b0282e04
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# 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](https://internetwarte.eu/agentsetup). No personally identifying information is collected or transmitted.

## What is collected

| Field | Description |
|-------|-------------|
| `os` | OS family: `linux` / `windows` / `macos` / `other` |
| `arch` | CPU architecture (e.g. `x86_64`, `arm64`) |
| `container.is_container` | Whether a container runtime was detected |
| `container.type` | `docker` / `podman` / `lxc` / `none` / `hint` |
| `vm.is_vm` | Whether a hypervisor was detected |
| `vm.type` | `kvm` / `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

```bash
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:

```json
{
  "os": "linux/windows/macOS",
  "a...

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