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automatorautomator 命令行

Agent Skill

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。

总安装

15,888

周安装

649

GitHub Stars

公开资料未说明

下载量

5,140
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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