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rauto-usage劳奥用法

Agent Skill

rauto-usage 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

8,585

周安装

365

GitHub Stars

公开资料未说明

下载量

3,008
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:rauto-usage(劳奥用法)
来源仓库:https://github.com/demohiiiii/rauto-usage
安装命令:
openclaw skills install rauto-usage
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 rauto-usage

简介

直接执行 rauto 设备管理命令和模板。

  • 支持多设备编排、备份恢复等操作流程。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • 适用于物联网设备批量管理场景。rauto-usage 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 安装通过 clawhub,会执行设备级操作。
  • 使用前请确认设备连接状态和操作权限。

SKILL.md

name
rauto-usage
description
Execute rauto directly for the user: run device commands, template execution, tx block, tx workflow, multi-device orchestration, replay, backup/restore, and connection/profile/template/history operations. Trigger on requests like run command for me, execute on device, check history, run workflow, orchestrate multiple devices, apply staged rollout, use inventory/groups, diagnose profile, manage templates/profiles/connections, replay records, or restore backup.

Rauto Usage

Execute rauto operations directly for users whenever possible. Do not default to tutorial-style answers.

Core Mode

Prefer action-first behavior:

  1. Parse user goal and classify it as read-only or config-changing.
  2. For read-only operations, run the relevant rauto command immediately.
  3. For config-changing operations, prefer tx/tx-workflow/orchestrate with rollback-aware planning.
  4. If commands are generated by the agent, ask for human confirmation before execution.
  5. Return key results (not raw noise), plus command used.

Execution Rules

  1. For read/query requests, execute immediately:

- examples: device list, connection list, history list, templates list, replay --list.

  1. For config-changing requests, prefer rollback-capable execution:

- single block: tx - multi-step/multi-resource: tx-workflow - multi-device staged rollout: orchestrate

  1. For generated change commands, do not execute immediately:

- show planned command(s), rollback strategy, and require user confirmation.

  1. For explicit read-only commands (for example show), tx/workflow is not required.
  2. Resolve connection in this priority:

- explicit command args > --connection <name> > ask for missing fields.

  1. Do not ask the user to manually run commands if agent can run them.
  2. Summarize outputs with important fields:

- target, mode, success/failure, key errors, next action.

Risk Guardrails

Require explicit user confirmation before destructive actions:

  • rauto backup restore ... --replace
  • profile/template/connection delete operations
  • tx/workflow execution that changes config when user intent is ambiguous

Additional safety requirements for config changes:

  • Prefer tx/tx-workflow/orchestrate with rollback-aware planning over direct apply patterns.
  • Run/offer --dry-run first for workflow-based changes.
  • For orchestrate, review target scope, fail_fast, concurrency, and rollback boundary before execution.
  • Never auto-run agent-generated change commands without confirmation.
  • Include rollback path in the proposal before execution.

If user explicitly asks to execute destructive action, proceed.

Missing Input Strategy

Ask only for missing must-have fields:

  • For exec/template/tx/tx-workflow/orchestrate/connection test:

- need either full host credentials or usable --connection.

  • For replay:

- need record file path or JSONL source.

  • For history queries:

- need connection name.

Response Format

When command is executed, report:

  1. Operation: what was run
  2. Command: exact rauto command
  3. Result: key output summary
  4. Notes: risk, errors, or follow-up actions

Navigation (Load References On Demand)

  • Agent execution decision tree and command templates: references/agent-execution.md
  • Full CLI command cookbook: references/cli.md
  • Runnable multi-device orchestration JSON templates (EN): references/orchestration-json-template.md
  • Multi-device orchestration pre-flight review: references/orchestration-risk-check.md
  • Runtime storage paths: references/paths.md
  • Troubleshooting and recovery: references/troubleshooting.md
  • End-to-end operation scenarios: references/scenarios.md
  • English Q/A examples: references/examples.md
  • Runnable workflow JSON templates (EN): references/workflow-json-template.md
  • Web tab/card mapping (only when user asks for Web operations): references/web.md

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

84.09%
按下载量换算2,529

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install rauto-usage 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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