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OpenClaw Studio

作者 LucasZH7 · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ⚠ suspicious
291
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install openclaw-studio
功能描述
Use when the user wants a local visual operations dashboard for OpenClaw, with a cute robot presentation, live status visibility, chat access, efficiency tre...
安全使用建议
Before installing or running these scripts: (1) Do not run install_launchd.sh until you have inspected the runtime Python files (server.py, autoheal.py, app_watchdog.py). They are referenced by the launchd plists but are missing from the provided bundle — installing services that point to missing or unknown executables is risky. (2) If you find those Python files elsewhere, review them for network activity, credential handling, and what the auto-heal/watchdog actually do (restarts, external calls, file writes). (3) Expect the install scripts to create persistent per-user LaunchAgents that auto-start processes and write logs under the repo directory — only proceed if you trust the code. (4) The package appears macOS-specific; don’t attempt the launchd install on other OSes. (5) If you want to try the dashboard without persistence, run ./run_monitor.sh in a terminal first and confirm server.py behaviour and any network connections, then consider background/launchd install. If you cannot review the missing Python files, treat this package as untrusted.
功能分析
Type: OpenClaw Skill Name: openclaw-studio Version: 1.0.1 The bundle includes `install_launchd.sh`, which establishes persistence on macOS by installing three background services (`monitor`, `autoheal`, and `watchdog`). This is a high-risk capability that allows code to run automatically on system startup. Additionally, there is a discrepancy as `autoheal.py` and `app_watchdog.py` are configured for persistence but are omitted from the 'Core files' list in `SKILL.md`. While these features align with the stated goal of a monitoring dashboard, the use of persistence for undocumented scripts is a significant security risk.
能力评估
Purpose & Capability
The name, README, SKILL.md, and launch scripts all describe a local-first dashboard with optional auto-heal and macOS launchd integration — this is coherent with the stated purpose. However, the package claims core runtime files like server.py, autoheal.py, and app_watchdog.py in SKILL.md and the plist scripts, but those Python files are not present in the file manifest. Also the manifest/offered OS restrictions do not reflect the clearly macOS-specific install scripts (launchd). These gaps reduce confidence.
Instruction Scope
The runtime instructions and provided scripts instruct the agent/user to install persistent launchd services and to run start/stop scripts that will execute Python server components. That is in-scope for a dashboard, but the instructions rely on runtime files that are missing from the bundle. The instructions also modify user LaunchAgents (install_launchd.sh), which changes per-user startup behavior — this is significant and should be accepted explicitly by the user only after inspecting the missing Python components.
Install Mechanism
There is no automated install spec (low risk from remote fetches). All install behavior is provided as local shell scripts which create plist files under $HOME/Library/LaunchAgents and call launchctl. No external downloads or obfuscated installers are used. That reduces supply-chain risk, but the scripts do write persistent system-level entries to the user's LaunchAgents directory.
Credentials
The skill does not declare any required environment variables or external credentials. The config.example.json includes a session_key and references to an OpenClaw home (~/.openclaw), which could be sensitive if populated with real session tokens — but these are local config examples, not required env vars. Overall requested secrets appear proportionate, but reviewers should treat any real session_key or local OpenClaw files as sensitive prior to installing.
Persistence & Privilege
install_launchd.sh creates three LaunchAgents (monitor, autoheal, watchdog) that are bootstrapped, enabled, and kickstarted and set to KeepAlive. That gives the package persistent per-user background processes. Persistent watchdog/auto-heal services are plausible for a monitoring tool, but this level of persistence and automatic startup is a meaningful privilege and should be accepted only after code review (particularly of the missing Python components referenced).
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 openclaw-studio
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /openclaw-studio 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
v1.0.1
Refined brand identity from Console to OpenClaw Studio and aligned GitHub plus ClawHub release assets.
元数据
Slug openclaw-studio
版本 1.0.1
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

OpenClaw Studio 是什么?

Use when the user wants a local visual operations dashboard for OpenClaw, with a cute robot presentation, live status visibility, chat access, efficiency tre... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 291 次。

如何安装 OpenClaw Studio?

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

OpenClaw Studio 是免费的吗?

是的,OpenClaw Studio 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

OpenClaw Studio 支持哪些平台?

OpenClaw Studio 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 OpenClaw Studio?

由 LucasZH7(@lucaszh7)开发并维护,当前版本 v1.0.1。

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