{
  "schemaVersion": "1.0",
  "item": {
    "slug": "agent-setup-survey",
    "name": "Agent Setup Survey",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/Agent-Deployments/agent-setup-survey",
    "canonicalUrl": "https://clawhub.ai/Agent-Deployments/agent-setup-survey",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/agent-setup-survey",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=agent-setup-survey",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "scripts/environment-survey.py",
      "SKILL.md"
    ],
    "primaryDoc": "SKILL.md",
    "quickSetup": [
      "Download the package from Yavira.",
      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
    ],
    "agentAssist": {
      "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
      "steps": [
        "Download the package from Yavira.",
        "Extract it into a folder your agent can access.",
        "Paste one of the prompts below and point your agent at the extracted folder."
      ],
      "prompts": [
        {
          "label": "New install",
          "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete."
        },
        {
          "label": "Upgrade existing",
          "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run."
        }
      ]
    },
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-23T16:43:11.935Z",
      "expiresAt": "2026-04-30T16:43:11.935Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
        "contentDisposition": "attachment; filename=\"4claw-imageboard-1.0.1.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/agent-setup-survey"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    },
    "downloadPageUrl": "https://openagent3.xyz/downloads/agent-setup-survey",
    "agentPageUrl": "https://openagent3.xyz/skills/agent-setup-survey/agent",
    "manifestUrl": "https://openagent3.xyz/skills/agent-setup-survey/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/agent-setup-survey/agent.md"
  },
  "agentAssist": {
    "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
    "steps": [
      "Download the package from Yavira.",
      "Extract it into a folder your agent can access.",
      "Paste one of the prompts below and point your agent at the extracted folder."
    ],
    "prompts": [
      {
        "label": "New install",
        "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete."
      },
      {
        "label": "Upgrade existing",
        "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run."
      }
    ]
  },
  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "Overview",
        "body": "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."
      },
      {
        "title": "What is collected",
        "body": "FieldDescriptionosOS family: linux / windows / macos / otherarchCPU architecture (e.g. x86_64, arm64)container.is_containerWhether a container runtime was detectedcontainer.typedocker / podman / lxc / none / hintvm.is_vmWhether a hypervisor was detectedvm.typekvm / vmware / virtualbox / none / hintsignals.*Five boolean detection indicators (see Privacy section)\n\nThe 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."
      },
      {
        "title": "1. Run detection",
        "body": "RESULT_FILE=\"$(mktemp outbox/agent-setup-survey-result.XXXXXX.json)\"\npython3 scripts/environment-survey.py > \"$RESULT_FILE\"\n\nShow the JSON output to the user, ask about metadata before submitting."
      },
      {
        "title": "2. Collect skill metadata",
        "body": "Ask the user if he desires to share more information about installed skills:\n\n\"How many skills does your agent have available?\" (0, 1-10, >10) - Default 0\n\"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)"
      },
      {
        "title": "3. Submit",
        "body": "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, ...).\n\nDefault Payload:\n\n{\n  \"os\": \"linux/windows/macOS\",\n  \"arch\": \"<from_survey>\",\n  \"container\": { \"is_container\": true/false, \"type\": \"<from_survey>\" },\n  \"vm\": { \"is_vm\": true/false, \"type\": \"<from_survey>\" },\n  \"signals\": {\n    \"has_dockerenv\": true/false,\n    \"has_containerenv\": true/false,\n    \"cgroup_hints\": true/false,\n    \"cpuinfo_hypervisor_flag\": true/false,\n    \"dmi_vm_hints\": true/false\n  }\n \"skill_disclosure\": {\n    \"skills_added\": \"1-10\",\n    \"skills_names\": [\"<skill_name1>\", \"<skill_name2>\"]\n}\n\nOn failure, save the payload to outbox/ for manual upload."
      },
      {
        "title": "Privacy disclosure",
        "body": "Signals collected:\n\nhas_dockerenv - /.dockerenv file present\nhas_containerenv - /run/.containerenv file present\ncgroup_hints - cgroup paths mention docker/kubepods/lxc/…\ncpuinfo_hypervisor_flag - /proc/cpuinfo contains hypervisor\ndmi_vm_hints - DMI strings match VM vendor keywords (raw strings are NOT sent)"
      },
      {
        "title": "View results",
        "body": "Dashboard: https://internetwarte.eu/agentsetup"
      }
    ],
    "body": "Agent Environment Survey\nOverview\n\nThis 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.\n\nWhat is collected\nField\tDescription\nos\tOS family: linux / windows / macos / other\narch\tCPU architecture (e.g. x86_64, arm64)\ncontainer.is_container\tWhether a container runtime was detected\ncontainer.type\tdocker / podman / lxc / none / hint\nvm.is_vm\tWhether a hypervisor was detected\nvm.type\tkvm / vmware / virtualbox / none / hint\nsignals.*\tFive boolean detection indicators (see Privacy section)\n\nThe 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.\n\nSteps\n1. Run detection\nRESULT_FILE=\"$(mktemp outbox/agent-setup-survey-result.XXXXXX.json)\"\npython3 scripts/environment-survey.py > \"$RESULT_FILE\"\n\n\nShow the JSON output to the user, ask about metadata before submitting.\n\n2. Collect skill metadata\n\nAsk the user if he desires to share more information about installed skills:\n\n\"How many skills does your agent have available?\" (0, 1-10, >10) - Default 0\n\"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)\n3. Submit\n\nPOST 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, ...).\n\nDefault Payload:\n\n{\n  \"os\": \"linux/windows/macOS\",\n  \"arch\": \"<from_survey>\",\n  \"container\": { \"is_container\": true/false, \"type\": \"<from_survey>\" },\n  \"vm\": { \"is_vm\": true/false, \"type\": \"<from_survey>\" },\n  \"signals\": {\n    \"has_dockerenv\": true/false,\n    \"has_containerenv\": true/false,\n    \"cgroup_hints\": true/false,\n    \"cpuinfo_hypervisor_flag\": true/false,\n    \"dmi_vm_hints\": true/false\n  }\n \"skill_disclosure\": {\n    \"skills_added\": \"1-10\",\n    \"skills_names\": [\"<skill_name1>\", \"<skill_name2>\"]\n}\n\n\nOn failure, save the payload to outbox/ for manual upload.\n\nPrivacy disclosure\n\nSignals collected:\n\nhas_dockerenv - /.dockerenv file present\nhas_containerenv - /run/.containerenv file present\ncgroup_hints - cgroup paths mention docker/kubepods/lxc/…\ncpuinfo_hypervisor_flag - /proc/cpuinfo contains hypervisor\ndmi_vm_hints - DMI strings match VM vendor keywords (raw strings are NOT sent)\nView results\n\nDashboard: https://internetwarte.eu/agentsetup"
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/Agent-Deployments/agent-setup-survey",
    "publisherUrl": "https://clawhub.ai/Agent-Deployments/agent-setup-survey",
    "owner": "Agent-Deployments",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/agent-setup-survey",
    "downloadUrl": "https://openagent3.xyz/downloads/agent-setup-survey",
    "agentUrl": "https://openagent3.xyz/skills/agent-setup-survey/agent",
    "manifestUrl": "https://openagent3.xyz/skills/agent-setup-survey/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/agent-setup-survey/agent.md"
  }
}