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Desktop Cleanup Playbook
作者
vx:17605205782
· GitHub ↗
· v1.0.0
· MIT-0
193
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install desktop-cleanup-playbook
功能描述
为桌面文件生成整理方案、分类规则和阶段性清理计划,先分析再行动。;use for desktop, cleanup, organization workflows;do not use for 自动删除桌面文件, 越权访问系统目录.
使用说明 (SKILL.md)
桌面整理作战手册
你是什么
你是“桌面整理作战手册”这个独立 Skill,负责:为桌面文件生成整理方案、分类规则和阶段性清理计划,先分析再行动。
Routing
适合使用的情况
- 给我桌面整理方案
- 先分析不要直接动文件
- 输入通常包含:桌面目录路径
- 优先产出:现状概览、分类建议、确认清单
不适合使用的情况
- 不要自动删除桌面文件
- 不要越权访问系统目录
- 如果用户想直接执行外部系统写入、发送、删除、发布、变更配置,先明确边界,再只给审阅版内容或 dry-run 方案。
工作规则
- 先把用户提供的信息重组成任务书,再输出结构化结果。
- 缺信息时,优先显式列出“待确认项”,而不是直接编造。
- 默认先给“可审阅草案”,再给“可执行清单”。
- 遇到高风险、隐私、权限或合规问题,必须加上边界说明。
- 如运行环境允许 shell / exec,可使用:
python3 "{baseDir}/scripts/run.py" --input \x3C输入文件> --output \x3C输出文件>
- 如当前环境不能执行脚本,仍要基于
{baseDir}/resources/template.md与{baseDir}/resources/spec.json的结构直接产出文本。
标准输出结构
请尽量按以下结构组织结果:
- 现状概览
- 分类建议
- 短期清理
- 长期规则
- 误删风险
- 确认清单
本地资源
- 规范文件:
{baseDir}/resources/spec.json - 输出模板:
{baseDir}/resources/template.md - 示例输入输出:
{baseDir}/examples/ - 冒烟测试:
{baseDir}/tests/smoke-test.md
安全边界
- 默认只输出方案和预案。
- 默认只读、可审计、可回滚。
- 不执行高风险命令,不隐藏依赖,不伪造事实或结果。
安全使用建议
This skill appears to do what it says: read a directory (or an input file) and produce a read-only desktop-cleanup plan. Before running: 1) don’t point it at system root or directories containing sensitive private keys/credentials; run it on a copy or limited test directory first; 2) prefer --dry-run or run without an output path to inspect results before writing files; 3) review scripts/run.py yourself (it’s short and uses only the standard library) if you have extra caution; 4) the 'no deletion / no overreach' rule is advisory — the skill won’t delete files, but other tools or manual actions could, so review any follow-up execution steps carefully.
功能分析
Type: OpenClaw Skill
Name: desktop-cleanup-playbook
Version: 1.0.0
The skill bundle is a legitimate tool for analyzing desktop file structures and generating organization plans. The core logic in `scripts/run.py` is restricted to read-only operations, such as scanning file extensions, extracting Markdown headings, and identifying potential security risks (e.g., hardcoded secrets or dangerous shell commands) within the user-provided directory. The instructions in `SKILL.md` and `README.md` explicitly forbid destructive actions like automatic deletion or unauthorized system access, emphasizing a 'plan-before-action' workflow with no evidence of data exfiltration or malicious intent.
能力评估
Purpose & Capability
Name and description describe generating desktop organization plans; the included spec.json and scripts/run.py implement a directory_audit mode that reads a provided directory or input and produces structured, read-only reports. Requested binary (python3) is appropriate and proportional.
Instruction Scope
SKILL.md explicitly instructs the agent to analyze first and not to delete or access system directories. The script likewise performs read-only scanning and pattern checks. Note: these are advisory controls — nothing enforces the 'no deletion / no overreach' rule if a user or other code runs commands outside the skill (but the skill itself does not perform deletions or remote calls).
Install Mechanism
No install spec; it's instruction-only with a local Python script that uses only the standard library. No downloads or package installs are required.
Credentials
The skill declares no environment variables, no credentials, and no config paths. Its behavior (reading files from a provided path) is consistent with the stated purpose.
Persistence & Privilege
always is false and the skill is user-invocable; it does not request elevated or persistent privileges and does not modify other skills or system-wide settings.
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 desktop-cleanup-playbook - 安装完成后,直接呼叫该 Skill 的名称或使用
/desktop-cleanup-playbook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 desktop-cleanup-playbook.
- Generates desktop cleanup plans, classification rules, and phased sweep schedules—with analysis before action.
- Provides current state overview, sorting suggestions, and review checklists rather than directly modifying files.
- Emphasizes safety: does not auto-delete desktop files or access system directories beyond user intent.
- Includes clear usage boundaries, risk notices, and structured outputs (overview, suggestions, plans, risk, checklists).
- Supports review-first workflow and leverages local templates/specs if available.
元数据
常见问题
Desktop Cleanup Playbook 是什么?
为桌面文件生成整理方案、分类规则和阶段性清理计划,先分析再行动。;use for desktop, cleanup, organization workflows;do not use for 自动删除桌面文件, 越权访问系统目录. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 193 次。
如何安装 Desktop Cleanup Playbook?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install desktop-cleanup-playbook」即可一键安装,无需额外配置。
Desktop Cleanup Playbook 是免费的吗?
是的,Desktop Cleanup Playbook 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Desktop Cleanup Playbook 支持哪些平台?
Desktop Cleanup Playbook 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(darwin, linux, win32)。
谁开发了 Desktop Cleanup Playbook?
由 vx:17605205782(@52yuanchangxing)开发并维护,当前版本 v1.0.0。
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