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manus-skill手艺

Agent Skill

manus-skill 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

4,672

周安装

189

GitHub Stars

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下载量

1,467
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-skill(手艺)
来源仓库:https://github.com/krishbhimani/manus-skill
安装命令:
openclaw skills install manus-skill
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-skill

简介

Manus AI平台交互接口,通过REST API实现代理任务管理功能。

  • 适用于Manus项目监控、任务执行状态查询和资源调度场景。
  • 支持批量获取项目列表、查看运行日志和执行结果分析。
  • 需确保网络连通性和API凭证有效性,避免因认证失败导致操作中断。
  • 建议定期同步官方文档更新,保持接口调用方式与最新规范一致。

SKILL.md

name
manus-api
description
Interact with the Manus AI agent platform via its REST API. Use this skill whenever the user mentions Manus, manus.ai, Manus API, Manus tasks, Manus projects, or wants to delegate work to the Manus AI agent — including creating tasks, uploading files, managing projects, polling task status, continuing multi-turn conversations, or setting up webhooks. Also trigger when the user says "send to Manus", "ask Manus to", "have Manus do", "manus agent", or references task IDs, session IDs, or Manus file uploads. This skill handles session/task-ID tracking to prevent accidental task duplication — a critical concern since every POST to /v1/tasks without a taskId creates a NEW task and consumes credits. Trigger this skill even for simple Manus questions like "what's the status of my Manus task" or "list my Manus sessions.
metadata
openclaw
requires
env
primaryEnv
MANUS_API_KEY

Manus API Skill

Manage tasks, projects, files, and sessions on the Manus AI agent platform.

Setup

export MANUS_API_KEY="your-api-key"

Get your key from: Manus dashboard → Settings → Integration → Build with Manus API.

The session manager writes .manus_sessions.json to the project root to track active and archived sessions. Add it to .gitignore — it contains prompts, task IDs, and task URLs that may be sensitive.

echo ".manus_sessions.json" >> .gitignore

Authentication

Every request uses the API_KEY header (not Bearer token):

curl -H "API_KEY: $MANUS_API_KEY" https://api.manus.ai/v1/tasks

Base URL: https://api.manus.ai — all endpoints under /v1/.


Session Management (CRITICAL — Read First)

Every POST /v1/tasks without a taskId creates a brand-new task and consumes credits. There is no undo. Session tracking prevents accidental duplication.

For the full registry format, search algorithm, archival rules, and edge cases, read references/session-management.md.

How It Works

All sessions are tracked in .manus_sessions.json in the project root:

{
  "active": {
    "security-audit": { "task_id": "...", "description": "...", "tags": [...], ... }
  },
  "archived": {
    "q2-report": { "task_id": "...", "description": "...", "archived_reason": "completed", ... }
  }
}

Active = running or pending tasks. Archived = completed or failed (still searchable, can be resumed).

The 4 Rules

  1. Before creating any task, search the registry for a matching session. If found, continue it with taskId. If not, create new.
  2. After every task creation, save task_id + metadata to the registry immediately.
  3. When multiple sessions match, present the top matches and ask the user to pick. Never guess.
  4. When a task completes or fails, move it from active to archived automatically.

Session Resolution Flow

When the user wants to work with a session:

1. Search active sessions (name, description, tags, prompts)
      |
   1 match  -> Use it
   0 matches -> Search archived
   >1 match  -> Present list, ask user
      |
2. Search archived
      |
   1 match  -> Ask: "Archived (completed). Resume or start fresh?"
   0 matches -> Create new session
   >1 match  -> Present list, ask user

Registry Entry Fields

Each session stores: task_id, task_title, task_url, description (agent-generated summary), tags (keywords for search), project_id, project_name, agent_profile, task_mode, created_at, last_used, last_status, turn_count, first_prompt, last_prompt.

Archived entries additionally store archived_at and archived_reason.

Using the Session Manager Script

The script at scripts/manus_session.py handles all session tracking, API calls, polling, archival, and search. Use it instead of calling the API directly.

As a library (when an agent imports it):

from scripts.manus_session import ManusSession

s = ManusSession()  # reads .env automatically

# New session
s.send("Review auth module for vulnerabilities",
       session_name="security-audit",
       tags=["security", "auth", "code-review"])

# Continue (auto-passes taskId)
s.send("Now check the token refresh logic",
       session_name="security-audit")

# Search sessions
matches = s.search("auth")

# Poll until done (auto-archives on completion)
result = s.poll_until_done("security-audit")

# List sessions
s.list_sessions()                        # active only
s.list_sessions(include_archived=True)   # both

# Resume archived session
s.unarchive("q2-report")
s.send("Add December data", session_name="q2-report")

# Import orphaned task from Manus webapp
s.import_task("TeBim6FDQf9peS52xHtAyh", session_name="imported-task")

As a CLI (when an agent runs it from the shell):

# Send prompt (new or continue)
python scripts/manus_session.py send "Review this PR" -s pr-review --tags security,backend
python scripts/manus_session.py send "Focus on auth" -s pr-review  # continues

# Search
python scripts/manus_session.py search "auth"

# List sessions
python scripts/manus_session.py sessions
python scripts/manus_session.py sessions --archived

# Check status
python scripts/manus_session.py status -s pr-review

# Poll until done
python scripts/manus_session.py poll -s pr-review

# Resume archived
python scripts/manus_session.py unarchive -s old-session

# Import orphaned task
python scripts/manus_session.py import-task TASK_ID --name my-task

# Upload file
python scripts/manus_session.py upload report.pdf

# Projects
python scripts/manus_session.py create-project "Code Reviews" --instruction "Check for security issues"
python scripts/manus_session.py projects

# Cleanup old archived sessions (>7 days)
python scripts/manus_session.py cleanup

Quick Reference — Endpoints

ResourceMethodPathPurpose
ProjectsPOST/v1/projectsCreate project with default instruction
ProjectsGET/v1/projectsList all projects
TasksPOST/v1/tasksCreate new task OR continue existing
TasksGET/v1/tasksList tasks (filter, paginate, search)
TasksGET/v1/tasks/{task_id}Get single task detail + output
TasksPUT/v1/tasks/{task_id}Update task (title, sharing, visibility)
TasksDELETE/v1/tasks/{task_id}Permanently delete task
FilesPOST/v1/filesGet presigned upload URL
FilesGET/v1/filesList uploaded files
FilesGET/v1/files/{file_id}Get file details
FilesDELETE/v1/files/{file_id}Delete a file
WebhooksPOST/v1/webhooksRegister webhook URL
WebhooksDELETE/v1/webhooks/{webhook_id}Remove webhook

For full request/response schemas, read references/api-reference.md.


Core Workflows

1. Create a New Session

python scripts/manus_session.py send \
  "Analyze Q2 revenue trends and create a summary report" \
  -s q2-analysis --mode agent --tags revenue,q2,analysis

2. Continue an Existing Session

python scripts/manus_session.py send \
  "Now break it down by region" -s q2-analysis

3. Upload File and Attach

python scripts/manus_session.py upload report.pdf
# Returns file_id

python scripts/manus_session.py send \
  "Summarize this document" -s doc-review --file-id FILE_ID

Files expire after 48 hours.

4. Organize with Projects

python scripts/manus_session.py create-project "Research" \
  --instruction "Always cite sources and include confidence levels"

python scripts/manus_session.py send \
  "Research AI agent frameworks" -s agent-research --project proj_abc123

Agent Profiles & Task Modes

ProfileUse CaseCost
manus-1.6General — balanced quality/speedStandard
manus-1.6-liteSimple/fast tasksLower
manus-1.6-maxComplex analysisHigher
ModeBehavior
chatConversational only
adaptiveAgent decides when to use tools
agentFull agent — browses web, writes code, creates files

Connectors

Enable external service access by passing connector UUIDs:

  • Gmail: 9444d960-ab7e-450f-9cb9-b9467fb0adda
  • Notion / Google Calendar: configured per account

Cost Awareness

  • ~150 credits per typical task. Use manus-1.6-lite + chat for simple queries.
  • Always reuse sessions via taskId. Duplicate tasks = wasted credits.
  • Check credit_usage in task responses to monitor spend.

Reference Files

FileWhen to Read
references/session-management.mdFull session registry design, JSON schema, search/scoring algorithm, archival rules, edge cases
references/api-reference.mdExact field schemas for all endpoints, query params, webhook payloads, attachment formats, OpenAI SDK compat
scripts/manus_session.pySession-aware Python client — use as library or CLI for all Manus interactions

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

98.48%
按下载量换算1,445

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

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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