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mac-node-snapshot

作者 taozhe6 · GitHub ↗ · v1.0.0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install mac-node-snapshot
功能描述
A robust, permission-friendly method to capture macOS screens via OpenClaw screen.record. Ideal for headless environments or ensuring capture reliability.
使用说明 (SKILL.md)

mac-node-snapshot

Overview

Uses node screen.record to record a 1-second clip and extract a high-quality PNG frame. This workflow bypasses common screencapture permission issues and ensures a reliable image return.

Quick start (single command, no scripts)

All paths are relative to {skill}.

mkdir -p "{skill}/tmp" \
&& openclaw nodes screen record --node "\x3Cnode>" --duration 1000 --fps 10 --no-audio --out "{skill}/tmp/snap.mp4" \
&& ffmpeg -hide_banner -loglevel error -y -ss 00:00:00 -i "{skill}/tmp/snap.mp4" -frames:v 1 "{skill}/tmp/snap.png"

When to use (trigger phrases)

Use this skill when the user asks:

  • "Take a screenshot"
  • "What is on my screen?"
  • "Capture the screen"
  • "Screenshot via screen.record"

Notes

  • Requirements: ffmpeg (ask before installing).
  • If the frame is black, ask the user to wake the screen and retry.
  • Use read on {skill}/tmp/snap.png to attach it to the reply.

Troubleshooting

  • screen_record fails (node disconnected): check nodes status, ensure OpenClaw app is running/paired.
  • screenRecording false: must grant Screen Recording in System Settings; cannot be bypassed.
  • Black frame: screen may be asleep/locked; ask the user to wake and retry.
安全使用建议
This instruction-only skill appears coherent and limited to taking a short screen recording and extracting a frame. Before installing or using it: 1) confirm you have the OpenClaw CLI available and ffmpeg installed (the SKILL.md requires both even though the registry metadata omitted them); 2) verify you trust the skill source — provenance is unknown and there is no homepage; 3) be aware this will attempt to capture your screen when invoked, and macOS Screen Recording permission is required (the skill cannot bypass this); 4) if you enable autonomous invocation for agents, they could run the capture when triggered by the listed phrases — only enable that if you trust the agent's prompts. If you want stronger assurance, ask the publisher to update metadata to declare required binaries and provide a homepage or source repository.
功能分析
Type: OpenClaw Skill Name: mac-node-snapshot Version: 1.0.0 The skill `mac-node-snapshot` is designed to capture a screenshot on macOS using the `openclaw nodes screen record` command and `ffmpeg`. All operations are confined to the skill's temporary directory (`{skill}/tmp`), and the `SKILL.md` instructions clearly guide the AI agent to perform this specific task, handle errors, and return the image. There is no evidence of data exfiltration, malicious execution, persistence, or prompt injection attempting to subvert the agent's behavior beyond its stated purpose. The skill explicitly acknowledges the need for system permissions for screen recording.
能力评估
Purpose & Capability
The SKILL.md explicitly uses the OpenClaw CLI (openclaw nodes screen record) and ffmpeg to produce a PNG from a short recording, which matches the name/description. However, the registry metadata lists no required binaries while the instructions clearly require the OpenClaw CLI and ffmpeg — a metadata omission that should be corrected before trusting automatic installs or runs.
Instruction Scope
Instructions are narrow and concrete: create a tmp folder under the skill, run openclaw nodes screen record, convert with ffmpeg, and read the output file to attach. They do not ask the agent to read unrelated files, environment variables, or transmit data to third-party endpoints. The SKILL.md also explicitly notes that Screen Recording permission cannot be bypassed.
Install Mechanism
There is no install spec (instruction-only), so nothing is written to disk by an installer. This is lower risk than arbitrary downloads. The only runtime dependencies are external binaries (openclaw CLI and ffmpeg) which the skill expects to be present or be installed with user consent.
Credentials
The skill does not request environment variables, credentials, or config paths. That is proportionate for a screen-capture helper. No unexplained secret access is requested.
Persistence & Privilege
The skill does not request 'always: true' and is not claiming elevated persistent privileges. Agent autonomous invocation is allowed by default (disable-model-invocation: false), which is normal; nothing in the skill attempts to modify other skills or system-wide settings.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install mac-node-snapshot
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /mac-node-snapshot 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release
元数据
Slug mac-node-snapshot
版本 1.0.0
许可证
累计安装 5
当前安装数 4
历史版本数 1
常见问题

mac-node-snapshot 是什么?

A robust, permission-friendly method to capture macOS screens via OpenClaw screen.record. Ideal for headless environments or ensuring capture reliability. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1342 次。

如何安装 mac-node-snapshot?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install mac-node-snapshot」即可一键安装,无需额外配置。

mac-node-snapshot 是免费的吗?

是的,mac-node-snapshot 完全免费(开源免费),可自由下载、安装和使用。

mac-node-snapshot 支持哪些平台?

mac-node-snapshot 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 mac-node-snapshot?

由 taozhe6(@taozhe6)开发并维护,当前版本 v1.0.0。

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