← Back to Skills Marketplace
pandasun

Fxiaoke Sales Record Publish

by qinlong · GitHub ↗ · v1.0.1
cross-platform ⚠ suspicious
291
Downloads
0
Stars
0
Active Installs
2
Versions
Install in OpenClaw
/install fxiaoke-sales-record-publish
Description
自动检测登录并使用保存的cookies,智能填写销售记录必填项,一键发布纷享销客CRM销售记录,保证100%成功率。
README (SKILL.md)

🚀 太空登录 Skill

📋 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


🎯 功能特性

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

🔧 安装方法

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

🚀 快速开始

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']}")

📖 API 参考

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 moon 38 万公里 ~3 天
火星 mars 2.28 亿公里 ~7 个月
国际空间站 iss 400 公里 ~6 小时
木卫二 europa 6.3 亿公里 ~2 年
土卫六 titan 14 亿公里 ~7 年

💡 使用示例

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'])

🔐 配置说明

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 Dragon 7 人 27,600 km/h 近地轨道
SpaceX Starship 100 人 28,500 km/h 深空探索
NASA Artemis 4 人 39,000 km/h 月球任务
Blue Origin NS 6 人 10,000 km/h 亚轨道

🐛 常见问题

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 \x3C1 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


📝 更新日志

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! 🚀🌌⭐

Usage Guidance
Do not install or grant credentials yet. The package metadata claims a CRM publisher that would need cookies/credentials, but the shipped code and docs implement an unrelated 'space-login' simulator and do not request or use CRM credentials — this is a red flag. Actions to take before proceeding: 1) Ask the publisher/registry why the name/description differ from the files and request a trusted source or homepage. 2) Inspect the code yourself or have someone review it (look for network calls, os.exec, requests, or hidden endpoints). 3) If you must test, run it in an isolated sandbox or VM with no access to sensitive credentials. 4) Never provide CRM cookies/API keys until the provider and code are verified. 5) Prefer packages with a verifiable homepage, source repo, and clear ownership.
Capability Analysis
Type: OpenClaw Skill Name: fxiaoke-sales-record-publish Version: 1.0.1 The skill is a harmless simulation of a 'space login' system. The core logic in space_login.py and the examples provided only perform basic string output and random number generation to simulate space travel metrics (e.g., oxygen levels, orbital IDs). There is no evidence of network activity, file system exploitation, or data exfiltration, and the code lacks any high-risk functions like eval() or system calls.
Capability Assessment
Purpose & Capability
Metadata and description claim a Fxiaoke (CRM) sales-record publisher that uses saved cookies, but the repository contains a 'space-login' simulation (SKILL.md, space_login.py, examples) with no code touching CRM or cookies. Required env/config listed as none, yet documentation references SPACE_API_KEY and SPACE_CENTER. The requested capabilities do not match the stated purpose.
Instruction Scope
SKILL.md is a full simulated-service doc (space-login) and its runtime instructions are limited to running local Python scripts and copying a config file. The Python code reads a local config.json only and performs no network calls or file reads outside its config. However, SKILL.md mentions environment variables (SPACE_API_KEY) that are not declared in the skill metadata, which is an inconsistency worth flagging.
Install Mechanism
There is no install spec in registry (instruction-only), but the package includes Python files and a requirements.txt (empty). Installation instructions tell the user to pip install -r requirements.txt. No third-party downloads or remote installers are present — low technical install risk — but the registry claiming 'instruction-only' while providing code is an inconsistency.
Credentials
Declared required env vars: none. SKILL.md, however, documents environment variables (SPACE_API_KEY, SPACE_CENTER) and suggests editing config.json. The original skill description implied access to saved cookies and CRM credentials but no such credentials are requested or used by the included code. That mismatch (advertised credential needs vs. actual code) is suspicious.
Persistence & Privilege
No 'always: true', no install-time scripts that modify other skills or system-wide settings, and the code does not persist secrets or write outside its own config file. Privilege/persistence requests are minimal.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install fxiaoke-sales-record-publish
  3. After installation, invoke the skill by name or use /fxiaoke-sales-record-publish
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
- Initial release of the space-login skill (v1.0.1) - Added main script (space_login.py) for space login simulation - Included sample configuration (config.example.json) and requirements.txt - Provided a usage example (login_example.py) - Added comprehensive documentation (README.md)
v1.0.0
- 初始版本,实现纷享销客 CRM 销售记录自动发布全流程 - 支持智能登录检测和自动保存 cookies,避免重复登录 - 自动填写所有必填字段并支持自定义跟进内容 - 使用 element.click() 提高表单提交成功率 - 提供详细运行、配置、环境和故障排查指导 - 生产就绪,成功率达 100%
Metadata
Slug fxiaoke-sales-record-publish
Version 1.0.1
License
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is Fxiaoke Sales Record Publish?

自动检测登录并使用保存的cookies,智能填写销售记录必填项,一键发布纷享销客CRM销售记录,保证100%成功率。 It is an AI Agent Skill for Claude Code / OpenClaw, with 291 downloads so far.

How do I install Fxiaoke Sales Record Publish?

Run "/install fxiaoke-sales-record-publish" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Fxiaoke Sales Record Publish free?

Yes, Fxiaoke Sales Record Publish is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Fxiaoke Sales Record Publish support?

Fxiaoke Sales Record Publish is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Fxiaoke Sales Record Publish?

It is built and maintained by qinlong (@pandasun); the current version is v1.0.1.

💬 Comments