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在 OpenClaw 中安装
/install screen-time-auditor
功能描述
Help users audit and analyze screen habits by device, app, and time to identify triggers and create a realistic one-week reduction plan.
安全使用建议
This skill is small, local, and coherent with its description: it performs a manual audit based on user input and does not access external services or secrets. If you care about provenance, note the package source/homepage is unknown — review the handler.py yourself before installing if you want extra assurance. If you prefer to prevent autonomous invocation, you can disable model invocation for this skill in your agent settings, although there are no other red flags here.
功能分析
Type: OpenClaw Skill
Name: screen-time-auditor
Version: 1.0.0
The skill is a rule-based text processor designed to help users audit their screen time habits. The code in handler.py performs keyword matching against user input to categorize devices, apps, and triggers, generating a markdown report with recommendations. There is no evidence of data exfiltration, network activity, or unauthorized system access; the logic is entirely self-contained and aligns with the documentation in SKILL.md.
能力标签
能力评估
Purpose & Capability
Name/description (manual screen-time audit) align with the code and SKILL.md. The handler only processes user-provided text/dicts to detect devices, apps, time bands and produce a reduction plan. There are no unrelated requirements (no cloud creds, no unrelated binaries).
Instruction Scope
SKILL.md instructs a manual audit and the handler implements that workflow. The code only reads the skill's own SKILL.md, the provided inputs, and local helper logic—there are no instructions to read arbitrary user files, shell history, or transmit data externally.
Install Mechanism
This is effectively instruction-first with small local Python files and no install spec. Nothing is downloaded from external URLs and no archives are extracted. Risk from installation is minimal.
Credentials
The skill declares no required environment variables, credentials, or config paths and the code does not access environment secrets. Requested privileges are proportionate (none).
Persistence & Privilege
always:false and user-invocable defaults are used. The skill does not modify other skills or system-wide settings and does not request permanent presence.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install screen-time-auditor - 安装完成后，直接呼叫该 Skill 的名称或使用
/screen-time-auditor触发 - 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 of Screen Time Auditor, a tool for manually auditing and reducing problematic screen habits.
- Helps estimate usage by device/app, identify triggers, and map out worst "leakage zones."
- Guides users to distinguish between functional use and unconscious or emotional screen time.
- Supports creating friction, replacement habits, and realistic phone-free periods.
- Includes a structured workflow and output format for actionable, non-judgmental audit results.
- Emphasizes practical, humane reduction strategies—one week at a time.
元数据
常见问题
Screen Time Auditor 是什么？
Help users audit and analyze screen habits by device, app, and time to identify triggers and create a realistic one-week reduction plan. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 83 次。
如何安装 Screen Time Auditor？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install screen-time-auditor」即可一键安装，无需额外配置。
Screen Time Auditor 是免费的吗？
是的，Screen Time Auditor 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Screen Time Auditor 支持哪些平台？
Screen Time Auditor 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 Screen Time Auditor？
由 haidong（@harrylabsj）开发并维护，当前版本 v1.0.0。
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