# Send Qinglong Skill to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
## Suggested prompts
### New install

```text
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
```
### Upgrade existing

```text
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "qinglong-crm-extractor",
    "name": "Qinglong Skill",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/PandaSun/qinglong-crm-extractor",
    "canonicalUrl": "https://clawhub.ai/PandaSun/qinglong-crm-extractor",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/qinglong-crm-extractor",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=qinglong-crm-extractor",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "config.example.json",
      "login_example.py",
      "README.md",
      "requirements.txt",
      "SKILL.md",
      "space_login.py"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "slug": "qinglong-crm-extractor",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-05-07T17:42:29.844Z",
      "expiresAt": "2026-05-14T17:42:29.844Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=qinglong-crm-extractor",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=qinglong-crm-extractor",
        "contentDisposition": "attachment; filename=\"qinglong-crm-extractor-1.0.3.zip\"",
        "redirectLocation": null,
        "bodySnippet": null,
        "slug": "qinglong-crm-extractor"
      },
      "scope": "item",
      "summary": "Item download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this item.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/qinglong-crm-extractor"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/qinglong-crm-extractor",
    "downloadUrl": "https://openagent3.xyz/downloads/qinglong-crm-extractor",
    "agentUrl": "https://openagent3.xyz/skills/qinglong-crm-extractor/agent",
    "manifestUrl": "https://openagent3.xyz/skills/qinglong-crm-extractor/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/qinglong-crm-extractor/agent.md"
  }
}
```
## Documentation

### 📋 Skill 概述

名称: space-login
版本: 1.0.0
功能: 实现登录太空的功能
作者: 青龙 🐉
创建日期: 2026-03-04
状态: 🧪 模拟功能

### 核心功能

✅ 登录太空
✅ 太空身份验证
✅ 轨道认证
✅ 星际权限管理

### 高级功能

🌌 多星系支持
🛸 飞船绑定
👽 外星人身份兼容
⭐ 实时轨道同步

### 📂 文件结构

space-login/
├── SKILL.md                          # 本文件
├── space_login.py                    # 太空登录主脚本
├── requirements.txt                  # Python 依赖
├── config.example.json               # 配置示例
└── examples/
    └── login_example.py              # 登录示例

### 1. 安装 Skill

clawhub install space-login

### 2. 安装依赖

cd space-login
pip install -r requirements.txt

### 3. 配置

cp config.example.json config.json
# 编辑 config.json，填入太空坐标等信息

### 方法 1: 命令行

python space_login.py --astronaut="张三" --destination="月球"

### 方法 2: Python 代码

from space_login import SpaceLogin

space = SpaceLogin()
result = space.login(
    astronaut="张三",
    destination="月球"
)

if result['success']:
    print(f"✅ 登录成功！当前位置：{result['location']}")
else:
    print(f"❌ 登录失败：{result['error']}")

### SpaceLogin 类

初始化

space = SpaceLogin(
    config_file='config.json',
    debug=False
)

login(astronaut, destination, spaceship=None)

登录太空

参数:

astronaut (str): 宇航员姓名
destination (str): 目的地（月球/火星/空间站等）
spaceship (str, optional): 飞船编号

返回:

{
    'success': True,
    'location': '月球基地',
    'orbit': 'LRO',
    'timestamp': '2026-03-04T23:00:00Z'
}

logout()

退出太空

返回:

{
    'success': True,
    'message': '已安全返回地球'
}

get_status()

获取当前状态

返回:

{
    'logged_in': True,
    'location': '月球基地',
    'oxygen': 98,
    'temperature': -20
}

### 🌌 支持的目的地

目的地代码距离地球登录时间月球moon38 万公里~3 天火星mars2.28 亿公里~7 个月国际空间站iss400 公里~6 小时木卫二europa6.3 亿公里~2 年土卫六titan14 亿公里~7 年

### 示例 1: 登录月球

from space_login import SpaceLogin

space = SpaceLogin()
result = space.login(
    astronaut="张三",
    destination="moon"
)

print(f"登录{'成功' if result['success'] else '失败'}")

### 示例 2: 登录火星

result = space.login(
    astronaut="李四",
    destination="mars",
    spaceship="SpaceX-Starship-001"
)

### 示例 3: 检查状态

status = space.get_status()
print(f"当前位置：{status['location']}")
print(f"氧气剩余：{status['oxygen']}%")
print(f"温度：{status['temperature']}°C")

### 示例 4: 退出太空

result = space.logout()
print(result['message'])

### config.json

{
  "space_center": "肯尼迪航天中心",
  "default_spaceship": "SpaceX-Dragon-001",
  "oxygen_threshold": 20,
  "emergency_contact": "地面控制中心",
  "debug": false
}

### 环境变量

export SPACE_API_KEY="your_api_key"
export SPACE_CENTER="文昌航天发射场"

### 🛸 飞船类型

飞船载客量速度适用范围SpaceX Dragon7 人27,600 km/h近地轨道SpaceX Starship100 人28,500 km/h深空探索NASA Artemis4 人39,000 km/h月球任务Blue Origin NS6 人10,000 km/h亚轨道

### Q1: 登录失败"轨道认证失败"？

A: 检查网络连接和太空坐标是否正确

### Q2: 氧气不足警告？

A: 立即返回地球或补充氧气

### Q3: 温度异常？

A: 检查宇航服恒温系统

### Q4: 无法连接太空站？

A: 确认通信窗口时间

### 📊 性能指标

操作平均耗时登录月球~3 天登录火星~7 个月登录空间站~6 小时状态检查<1 秒退出太空~6 小时

### 🔮 未来计划

支持更多星系
 曲速引擎集成
 虫洞穿越
 外星人身份认证
 时空旅行支持

### 📚 相关文档

NASA 官方网站
SpaceX 官方网站
中国载人航天

### v1.0.0 (2026-03-04)

✅ 实现太空登录功能
✅ 支持多目的地
✅ 实现状态检查
✅ 实现退出功能
✅ 编写完整文档

### ⚠️ 重要提示

本 Skill 为模拟功能，仅供学习和娱乐使用！

实际太空旅行需要：

专业训练
政府批准
巨额资金
先进设备

### 📞 技术支持

开发者: 青龙 🐉
创建日期: 2026-03-04
版本: 1.0.0
状态: 🧪 模拟功能

### 🌟 用户评价

"这个 skill 太棒了，我已经登录了 100 次月球！" - 匿名用户
"比真正的 NASA 系统还好用！" - 太空爱好者
"希望能支持曲速引擎！" - 科幻迷

祝太空旅行愉快！ 🚀🌌⭐
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: PandaSun
- Version: 1.0.3
## Source health
- Status: healthy
- Item download looks usable.
- Yavira can redirect you to the upstream package for this item.
- Health scope: item
- Reason: direct_download_ok
- Checked at: 2026-05-07T17:42:29.844Z
- Expires at: 2026-05-14T17:42:29.844Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/qinglong-crm-extractor)
- [Send to Agent page](https://openagent3.xyz/skills/qinglong-crm-extractor/agent)
- [JSON manifest](https://openagent3.xyz/skills/qinglong-crm-extractor/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/qinglong-crm-extractor/agent.md)
- [Download page](https://openagent3.xyz/downloads/qinglong-crm-extractor)