Token导航 LogoToken导航TokenDH.com
研究检索敏感数据clawhub未标认证来源可访问clear审计通过

openclaw-workspace-proOpenClaw workspace 专业版

Agent Skill

openclaw-workspace-pro 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

23,990

周安装

1,020

GitHub Stars

2

下载量

8,405
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:openclaw-workspace-pro(OpenClaw workspace 专业版)
来源仓库:https://github.com/eugene9d/openclaw-workspace-pro
安装命令:
openclaw skills install openclaw-workspace-pro
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 openclaw-workspace-pro

简介

通过一个命令设置一个生产就绪的 OpenClaw 工作区,其中包含工件工作流程、安全机密、内存压缩和长期运行的代理模式。

SKILL.md

name
openclaw-workspace-pro
description
Production-ready workspace setup for OpenClaw agents. Implements artifact workflows, secrets management, memory compaction, and long-running agent patterns based on OpenAI's Shell + Skills best practices. One-command installation transforms your workspace into a production-ready environment.
version
1.0.0
author
Eugene Devyatyh
repository
https://github.com/Eugene9D/openclaw-workspace-pro
metadata
openclaw
install
kind
script
script
./install.sh
label
Install Workspace Pro enhancements

OpenClaw Workspace Pro

Enterprise workspace setup for long-running OpenClaw agents.

What It Does

Transforms your OpenClaw workspace with production-ready patterns:

  • 🗂 Artifact Workflow - Standardized output structure for reports, code, data, and exports
  • 🔒 Secrets Management - Secure .env pattern, removes plaintext credentials
  • 🧠 Memory Compaction - Prevents context bloat with systematic archival workflow
  • 📦 Long-Running Patterns - Container reuse, checkpoint strategy, continuity protocols
  • 🛡 Security Baseline - Network allowlists, safe credential handling

Based on OpenAI's Shell + Skills + Compaction best practices.

Installation

clawhub install openclaw-workspace-pro

Or manual:

cd /data/.openclaw/workspace
git clone https://github.com/Eugene9D/openclaw-workspace-pro.git
cd openclaw-workspace-pro
./install.sh

What Gets Installed

Directory Structure

workspace/
├── artifacts/           # Standardized output location
│   ├── reports/        # Analysis, summaries, documentation
│   ├── code/           # Generated scripts, apps, configs
│   ├── data/           # Cleaned datasets, processed files
│   └── exports/        # API responses, database dumps
├── memory/
│   └── archive/        # Compressed memory summaries
├── .env                # Secrets (gitignored)
└── .gitignore          # Security

Documentation Added

  • AGENTS.md enhancements - Artifact workflow, long-run patterns, secrets management
  • MEMORY-COMPACTION.md - Weekly/monthly maintenance workflow
  • TOOLS.md additions - Network security allowlist

Templates

  • .env.example - Secrets template
  • .gitignore - Protect credentials

Usage

Artifacts Pattern

When producing deliverables:

# Reports
/data/.openclaw/workspace/artifacts/reports/YYYY-MM-DD-project-name.md

# Code
/data/.openclaw/workspace/artifacts/code/YYYY-MM-DD-script-name.py

# Data
/data/.openclaw/workspace/artifacts/data/YYYY-MM-DD-dataset.csv

Benefits:

  • Clear review boundaries
  • Easy retrieval
  • Version tracking
  • Prevents file sprawl

Secrets Management

Before Workspace Pro:

# TOOLS.md
API_KEY=sk-abc123xyz...  ❌ Plaintext, exposed in git

After Workspace Pro:

# .env (gitignored)
API_KEY=sk-abc123xyz...

# TOOLS.md
API Key: $API_KEY  ✅ Reference only

Memory Compaction

Prevents context bloat in long-running agents:

Weekly (when needed):

  1. Review daily logs from past 7-14 days
  2. Extract key insights → update MEMORY.md
  3. Remove outdated info

Monthly:

  1. Archive daily logs >30 days to memory/archive/YYYY-MM-summary.md
  2. Delete raw files after archival

See MEMORY-COMPACTION.md for full workflow.

Why Use This?

The Problem

Default OpenClaw workspaces:

  • ❌ Files scattered everywhere (no structure)
  • ❌ API keys in plaintext (security risk)
  • ❌ Memory grows indefinitely (context limits)
  • ❌ No artifact review boundaries
  • ❌ Manual maintenance (prone to drift)

The Solution

Workspace Pro implements OpenAI's recommended patterns:

  • ✅ Standardized artifact workflow
  • ✅ Secure secrets management
  • ✅ Systematic memory compaction
  • ✅ Long-running agent patterns
  • ✅ Clear operational workflows

Real Impact

Security: Eliminates credential exposure Organization: Clear deliverable handoff points Scalability: Handles months of continuous operation Maintenance: Defined schedules prevent drift

Based on production patterns from:

  • OpenAI's long-running agent recommendations
  • Glean's enterprise skill deployments
  • OpenClaw community best practices

Configuration

Environment Variables (.env)

After installation, populate .env:

# Example: YouTube API
YOUTUBE_API_KEY=your_key_here
YOUTUBE_OAUTH_CLIENT_ID=your_id_here

# Example: Task Management
VIKUNJA_API_TOKEN=your_token_here

Network Security

Edit TOOLS.md network allowlist:

### Approved Domains
- *.googleapis.com (YouTube API)
- api.brave.com (search)
- tasks.playrockets.com (Vikunja)

Add new domains with security review.

Requirements

  • OpenClaw 2026.2.9+
  • Workspace directory: /data/.openclaw/workspace
  • Shell access (for installation)

Upgrading

cd /data/.openclaw/workspace/openclaw-workspace-pro
git pull
./install.sh

Uninstall

Workspace Pro is non-destructive. To remove:

# Remove added files (safe, preserves your data)
rm -rf artifacts/ memory/archive/
rm .env .gitignore MEMORY-COMPACTION.md

# Restore AGENTS.md, TOOLS.md from backup
cp AGENTS.md.backup AGENTS.md
cp TOOLS.md.backup TOOLS.md

Support

  • Issues: https://github.com/Eugene9D/openclaw-workspace-pro/issues
  • Discussions: https://discord.com/invite/clawd
  • ClawHub: https://clawhub.ai/skills/openclaw-workspace-pro

License

MIT License - See LICENSE file

Credits

Based on patterns from:

Built by Eugene Devyatyh for the OpenClaw ecosystem.


Version: 1.0.0 Updated: 2026-02-13 Compatibility: OpenClaw 2026.2.9+

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

85.87%
按下载量换算7,217

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

继续浏览同类 Skills