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manus-openclaw-bridgemanus OpenClaw bridge 文档

Agent Skill

manus-openclaw-bridge 用于整理文档、README、Markdown 和说明材料,适合在 OpenClaw 中需要把零散信息整理成结构清晰的文档时使用。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

7,944

周安装

331

GitHub Stars

公开资料未说明

下载量

2,648
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:manus-openclaw-bridge(manus OpenClaw bridge 文档)
来源仓库:https://github.com/t0nyren/manus-openclaw-bridge
安装命令:
openclaw skills install manus-openclaw-bridge
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 manus-openclaw-bridge

简介

将 OpenClaw 连接到 Manus 任务 API,以实现聊天驱动的图像生成、文档/幻灯片作业、任务轮询、输出收集和消息传递表面返回流。

SKILL.md

name
manus-openclaw-bridge
description
Connect OpenClaw to Manus task APIs for chat-driven image generation, document/slides jobs, task polling, output collection, and messaging-surface return flows.
version
1.0.2
requires
config
external_services
security_notes

Manus OpenClaw Bridge

Use this skill to turn OpenClaw into a Manus launcher and result collector.

Requirements

Runtime dependencies:

  • OpenClaw
  • Bash
  • curl
  • Python 3.9+
  • Node.js 18+ (required for slides JSON -> PPTX conversion)

Required local configuration:

  • ~/.config/manus-openclaw-bridge/manus.env
  • MANUS_API_KEY must be supplied by each installer
  • MANUS_API_BASE must be supplied explicitly by each installer and must use https://

Read REQUIREMENTS.md for a concise dependency and configuration summary. Read SECURITY.md for the download and credential safety model.

Quick start

  1. Read references/setup.md if Manus API access is not configured yet.
  2. Put the Manus API key and Manus API base URL in ~/.config/manus-openclaw-bridge/manus.env.
  3. Submit a task with scripts/manus_submit.sh or scripts/manus_prompt.sh.
  4. Poll/download results with scripts/manus_get_task.sh or scripts/manus_wait_and_collect.py.
  5. If the result is a slides JSON bundle, convert it with scripts/manus_slides_json_to_pptx.mjs.
  6. If the user is on Feishu, return downloaded files with the normal OpenClaw message/file send flow.

Workflow

1. Submit a new Manus task

Use scripts/manus_submit.sh "<prompt>" when the prompt is already clean.

Use scripts/manus_prompt.sh "Manus, generate an image of a rainy forest" when the message may contain a leading Manus trigger and mixed punctuation.

Defaults:

  • MANUS_AGENT_PROFILE=manus-1.6
  • MANUS_TASK_MODE=agent
  • MANUS_API_BASE must be set explicitly to your Manus API base URL

2. Inspect an existing task

Use scripts/manus_get_task.sh <task_id> to fetch the raw task payload.

3. Wait for completion and collect files

Use python3 scripts/manus_wait_and_collect.py <task_id> [timeout_seconds].

This writes downloaded files to tmp/manus/ under the skill folder and prints a JSON summary with:

  • task_id
  • status
  • task_title
  • task_url
  • files[]
  • raw

Download safety rules:

  • only https:// URLs are accepted
  • only Manus-controlled allowlisted hosts are accepted
  • redirect targets are validated again after connection open
  • if Manus returns any other URL, the script refuses to fetch it and records a download_error

4. Handle slides/report outputs

If Manus returns a slides JSON artifact instead of a ready-made .pptx, convert it with:

node scripts/manus_slides_json_to_pptx.mjs <slides.json> <output.pptx>

Read references/slides.md when the task is slide-heavy.

5. Return results to the user

Prefer this pattern:

  • If Manus returns downloadable files, send the files.
  • If Manus returns images, send image files directly.
  • If Manus returns only text/status, send a short summary plus the task URL when available.
  • If Manus is still running, acknowledge quickly and poll with a bounded interval instead of a tight loop.

Feishu return pattern

When the current conversation is Feishu:

  • Download files first with scripts/manus_wait_and_collect.py.
  • Send each saved file path back through OpenClaw’s normal reply/file mechanism.
  • For images, prefer image/file upload rather than pasting long CDN URLs.
  • If there are multiple files, send the best result first, then the rest if useful.

Read references/feishu-return.md when wiring file return behavior.

OpenClaw integration notes

  • Keep secrets out of the skill package. Never hardcode MANUS_API_KEY in scripts or docs.
  • Store keys and endpoints in ~/.config/manus-openclaw-bridge/manus.env on each recipient machine.
  • For direct-message style image requests, a simple trigger is enough: strip Manus, or manus: and forward the remainder.
  • For group chats, define an explicit trigger rule to avoid accidental job launches.
  • If returning files to Feishu/Telegram/etc., use the platform’s native send/upload tool after manus_wait_and_collect.py downloads the outputs.
  • If the request is long-running, prefer acknowledging first and completing asynchronously.

When to read references

  • Read references/setup.md for first-time installation and environment setup.
  • Read references/chat-patterns.md when wiring the Manus flow into OpenClaw message handling rules.
  • Read references/feishu-return.md when returning Manus images/files into Feishu.
  • Read references/feishu-skill-template.md when another OpenClaw user wants a ready-made Feishu routing pattern.
  • Read references/openclaw-integration.md for a full end-to-end integration pattern.
  • Read references/slides.md when handling deck-generation outputs.

适合场景

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能力概览

能力 1

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能力 2

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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

78.27%
按下载量换算2,073

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

敏感数据

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安装前确认

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