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ebusy-courts埃布西法院

Agent Skill

ebusy-courts 用于辅助 Python 项目开发、测试和数据处理,适合在 OpenClaw 中需要阅读 Python 代码、运行测试或整理脚本流程时使用。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

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周安装

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下载量

2,717
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:ebusy-courts(埃布西法院)
来源仓库:https://github.com/ogruenig/ebusy-courts
安装命令:
openclaw skills install ebusy-courts
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 ebusy-courts

简介

ebusy-courts 通过 Python 客户端查询网球馆预订状态。

  • 适用于运动场地预约管理与用户服务支持。
  • 通过 openclaw skills install ebusy-courts 安装。
  • 需配置 eBusy 系统登录凭证与场馆 ID。
  • 建议验证时间区间重叠检测逻辑正确性。ebusy-courts 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
ebusy-courts
description
Query eBusy-based tennis hall bookings via a small Python client.
homepage
https://clawhub.com
metadata
openclaw
emoji
🎾
requires
bins
["python"]
env
[]

eBusy Courts Skill

This skill wraps a small Python client (ebusy_api.py) to log into eBusy-based booking systems and fetch reservations for a given court-module and date.

It is designed to work with multiple halls by switching configuration via environment variables. All hall- and user-specific values are provided by the environment, not hard-coded in the skill.

Important: No usernames/passwords should be committed into this skill folder. Keep real credentials in a local .env, your shell environment, or OpenClaw's gateway config.

Files

  • skills/ebusy-courts/ebusy_api.py – core Python client
  • skills/ebusy-courts/SKILL.md – this documentation

Optional (local-only, do not publish):

  • skills/.env – local environment file with hall-specific credentials

Python client: ebusy_api.py

The client is written to be generic; it reads all hall-specific config from environment variables:

EBUSY_BASE_URL       # e.g. https://myclub.ebusy.de
EBUSY_USERNAME       # login user for the chosen hall
EBUSY_PASSWORD       # login password for the chosen hall
EBUSY_COURT_ID       # eBusy court-module id for this hall
EBUSY_FIRST_COURT_NO # first court number inside that module

Usage (in a venv with requests + beautifulsoup4 installed):

source venv/bin/activate
export EBUSY_BASE_URL="https://myclub.ebusy.de"
export EBUSY_USERNAME="<your-user>"
export EBUSY_PASSWORD="<your-password>"
export EBUSY_COURT_ID="<module-id>"
export EBUSY_FIRST_COURT_NO="<first-court-no>"

python skills/ebusy-courts/ebusy_api.py 03/07/2026

The script will:

  1. Log into the configured eBusy instance using the configured

username/password.

  1. Fetch the reservations JSON for the given date.
  2. Print a sorted list of reservations:
   Reservierung Platz 1: 09:00 - 10:00 von <Text>
   Reservierung Platz 2: 10:00 - 11:00 von <Text>
   ...

Example hall profiles

This section shows example configurations for two real halls in Germany. Other users can copy the pattern and plug in their own club URLs and module IDs.

Example: Medenhalle Wiesbaden-Medenbach

  • Base URL: https://medenhalle.ebusy.de
  • EBUSY_COURT_ID = 1
  • EBUSY_FIRST_COURT_NO = 1
  • Credentials typically provided via:

- MEDENHALLE_USER - MEDENHALLE_PASSWORD

Example shell setup:

source venv/bin/activate
# load your local secrets, e.g. from skills/.env
export EBUSY_BASE_URL="https://medenhalle.ebusy.de"
export EBUSY_USERNAME="$MEDENHALLE_USER"
export EBUSY_PASSWORD="$MEDENHALLE_PASSWORD"
export EBUSY_COURT_ID="1"
export EBUSY_FIRST_COURT_NO="1"

python skills/ebusy-courts/ebusy_api.py 03/07/2026

Example: KTEV Kelkheim

  • Base URL: https://ktev.ebusy.de
  • EBUSY_COURT_ID = 807
  • EBUSY_FIRST_COURT_NO = 2135
  • Credentials typically provided via:

- KTEV_USER - KTEV_PASSWORD

Example shell setup:

source venv/bin/activate
# load your local secrets, e.g. from skills/.env
export EBUSY_BASE_URL="https://ktev.ebusy.de"
export EBUSY_USERNAME="$KTEV_USER"
export EBUSY_PASSWORD="$KTEV_PASSWORD"
export EBUSY_COURT_ID="807"
export EBUSY_FIRST_COURT_NO="2135"

python skills/ebusy-courts/ebusy_api.py 03/07/2026

How an agent can use this skill

When a user asks for availability in a given hall (e.g. "Suche freie Zeiten in der Tennishalle XYZ am Sonntag"), an OpenClaw agent can:

  1. Map the hall name to a profile (base URL, module id, first-court-no),

either from TOOLS.md or agent-specific config.

  1. Ensure the environment variables EBUSY_* are set for that hall

(credentials supplied by the runtime or skills/.env).

  1. Call ebusy_api.py for the relevant date, parse the JSON, and build

an availability table (free vs booked) per court and time slot.

The decision logic (which profile to choose for which user request) should live in the agent and/or TOOLS.md, not in this skill's code.


Publishing considerations

  • Do not publish skills/.env or any file containing real

credentials to ClawHub.

  • Ensure .gitignore excludes skills/.env and similar secret-bearing

files.

  • The skill itself (this SKILL.md + ebusy_api.py) contains only

generic logic and non-secret configuration; the example profiles are illustrative and can be replaced by any other eBusy-based club.

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

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能力 2

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能力 3

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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

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按下载量换算2,586

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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

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