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Agent Skill · 效率

automator(automator 命令行)

automator 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

automator 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 3,702。

总安装 15,888周安装 649GitHub Stars 公开资料未说明下载 5,140核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:automator(automator 命令行)
来源仓库:https://github.com/ivangdavila/automator
安装命令:
openclaw skills install automator
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install automator

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

automator 通过命令行控制 macOS Automator 工作流与 AppleScript 脚本。可用于自动化文件处理、应用操作等本地办公场景。支持组合多个动作形成复杂任务流程。automator 属于效率类 Skill,可作为该场景下的辅助能力补充。需授予终端执行权限及对应应用程序控制权。

操作前请备份重要数据以防误触发破坏性命令。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install automator;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

automator 怎么安装?

在终端执行 openclaw skills install automator。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

automator 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

automator 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

automator 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

automator 用的人多吗?

公开数据是累计安装 15,888 次,近一周安装 649 次,下载 5,140 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

automator 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
automator

automator 命令行 · 本页

15,888—接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
macOS Automator
slug
automator
version
1.0.0
homepage
https://clawic.com/skills/automator
description
Automate macOS tasks by composing and executing Automator workflows through automator CLI and AppleScript control.
changelog
Initial release with Automator CLI execution paths, AppleScript authoring patterns, and safety-first write controls.
metadata
{"clawdbot":{"emoji":"A","requires":{"bins":["automator","osascript"]},"os":["darwin"],"configPaths":["~/automator/"]}}

Setup

On first use, follow setup.md to capture activation behavior and safety preferences. Setup is read-only. Any local file write requires explicit user confirmation.

When to Use

User needs to automate macOS tasks with Automator workflows instead of manual UI steps. Agent handles workflow execution, workflow composition, and repeatable runbooks using official Automator interfaces.

Requirements

  • macOS with automator and osascript available.
  • Automator app installed at /System/Applications/Automator.app.
  • Explicit user confirmation before destructive or bulk operations.

Architecture

Memory lives in ~/automator/. See memory-template.md for structure.

~/automator/
├── memory.md                # Activation rules and safety defaults
├── workflows.md             # Known workflow paths and run arguments
├── action-catalog.md        # Verified action names and categories
└── incidents.md             # Failures and proven fixes

Quick Reference

Use these files when the task needs deeper detail.

TopicFile
Setup behavior and activationsetup.md
Memory structurememory-template.md
Execution path matrixinterface-matrix.md
Workflow authoring patternsworkflow-authoring.md
Write safety gatesexecution-guardrails.md
Debug and recoverytroubleshooting.md

Data Storage

All local skill data stays in ~/automator/. Before creating or changing local files, state the write scope and ask for confirmation.

External Endpoints

EndpointData SentPurpose
NoneNoneThis skill uses local macOS interfaces only

No other data is sent externally.

Core Rules

1. Pick Interface by Intent, Not Convenience

  • For running an existing .workflow, use automator CLI first.
  • For composing or inspecting workflow internals, use Automator AppleScript commands from workflow-authoring.md.
  • Only use shortcuts fallback if user explicitly asks for Shortcuts conversion.

2. Validate Workflow Identity Before Execution

  • Require absolute workflow path and verify it exists.
  • Confirm type (.workflow) and target operation (read, write, destructive).
  • If the workflow path is ambiguous, stop and ask one clarifying question.

3. Enforce Read-Before-Write for Workflow Changes

  • Before editing, inspect current action list and settings.
  • Apply one mutation at a time and re-read state after each mutation.
  • Never batch-edit unknown actions in a single pass.

4. Parameterize Inputs with Explicit Boundaries

  • Use automator -i or -D name=value only with validated inputs.
  • Reject unbounded stdin streams for write workflows.
  • Echo resolved parameters before run so the user can verify intent.

5. Require Two-Step Confirmation for Destructive Runs

  • Use execution-guardrails.md before delete, reset, or mass-change paths.
  • Ask for explicit confirmation that includes target and scope.
  • If confirmation is missing, do not run the workflow.

6. Keep Runs Observable and Reproducible

  • Prefer verbose mode (-v) for first execution or after failure.
  • Record command, input source, and result in concise run notes.
  • Return actionable output, not only "completed" status.

7. Recover with Concrete Next Actions

  • On failure, classify as path, permission, action mismatch, or runtime data error.
  • Provide the next command to run, not generic retry advice.
  • Persist only reusable fix patterns into local memory.

Automator Traps

  • Running relative paths from unknown working directories -> workflow not found.
  • Guessing action names without dictionary inspection -> compile succeeds, runtime fails.
  • Feeding multiline stdin into write workflows without boundaries -> unintended bulk edits.
  • Mixing Automator and Shortcuts assumptions in one run -> incompatible action model.
  • Treating permission prompts as transient errors -> repeated blocked execution.

Security & Privacy

Data that stays local:

  • Workflow paths, verified action names, and run diagnostics in ~/automator/.
  • Command output required to complete the requested automation task.

Data that leaves your machine:

  • None by default.

This skill does NOT:

  • Access credentials outside the workflow request scope.
  • Send workflow content to third-party services.
  • Execute destructive automation without explicit confirmation.

Related Skills

Install with clawhub install <slug> if user confirms:

  • applescript - Script app automation with robust quoting and pre-read checks.
  • automate - Design reliable multi-step automation workflows.
  • macos - Use macOS command-line and system operation patterns.
  • workflow - Structure repeatable workflows and handoff checkpoints.

Feedback

  • If useful: clawhub star automator
  • Stay updated: clawhub sync

平台分布

OpenClaw

90.89%
按下载量换算4,672

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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