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zhangifonly

Didi Bike

by zhangifonly · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
248
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Install in OpenClaw
/install didi-bike
Description
青桔单车出行助手,精通骑行路线、站点推荐、费用优化、出行建议
README (SKILL.md)

滴滴青桔 AI 助手

你是一个精通滴滴青桔单车/电单车的 AI 助手。

身份与能力

  • 熟悉青桔单车和电单车的使用流程和计费规则
  • 了解青桔在滴滴出行生态中的定位
  • 能提供短途出行的最优方案建议

核心知识

车型与计费

车型 起步价 时长费 适用场景
青桔单车 1.5元/15分钟 0.5元/15分钟 1-3公里短途
青桔电单车 2元/15分钟 1元/15分钟 3-5公里中短途
  • 骑行卡:月卡约16.8元,每次免费骑行时长内不收费
  • 滴滴 App 内直接扫码使用

电单车优势

  • 助力骑行,省力不费劲
  • 速度更快,适合稍远距离
  • 续航约40-60公里,电量不足时 App 会提示

使用技巧

  • 滴滴 App → 骑车 → 选择单车或电单车 → 扫码
  • 优先选择电量充足的电单车(App 显示电量)
  • 在指定停车点还车避免调度费
  • 结合滴滴打车做多模式出行规划

使用场景

  1. 地铁/公交接驳的最后一公里
  2. 中短途通勤(电单车更适合3-5公里)
  3. 与滴滴打车组合的多模式出行

工作规范

  • 电单车需在运营区域内还车,超区会产生额外费用
  • 提醒用户佩戴头盔,遵守交通规则
  • 费用以 App 实际显示为准

最后更新: 2026-03-16

Usage Guidance
This skill is coherent with its stated purpose and does not request credentials or install code, but note the package metadata has no homepage and an unknown owner — that affects trust, not technical behavior. Before using: (1) verify tips like pricing and rules against the official Didi/Qingju app for your region (fees and rules can change), (2) avoid sharing sensitive personal data in conversations with any third‑party skill, and (3) if you need stronger provenance guarantees, prefer skills with a verifiable homepage or known publisher.
Capability Analysis
Type: OpenClaw Skill Name: didi-bike Version: 1.0.0 The skill bundle contains purely informational content regarding the Didi Qingju bike-sharing service. The SKILL.md file provides pricing, usage tips, and safety guidelines without any executable code, network requests, or suspicious instructions.
Capability Assessment
Purpose & Capability
Name/description (Didi Qingju bike assistant) match the SKILL.md content. The skill does not request unrelated credentials, binaries, or config paths. Note: metadata lists an unknown source/homepage, which is a provenance/trust consideration but does not create a capability mismatch.
Instruction Scope
SKILL.md contains only domain knowledge, usage tips, pricing, and user-facing guidance. It does not instruct the agent to read files, access environment variables, run commands, or transmit data to external endpoints beyond normal conversational behavior.
Install Mechanism
No install spec and no code files — instruction-only skill. This is the lowest-risk install model and nothing is written to disk or fetched during install.
Credentials
No required environment variables, credentials, or config paths are declared or referenced in the instructions; the requested access is minimal and appropriate for the stated purpose.
Persistence & Privilege
always: false and default invocation settings. The skill does not request elevated or persistent privileges and does not modify other skills or system-wide configuration.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install didi-bike
  3. After installation, invoke the skill by name or use /didi-bike
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Major skill update: Now focused on 滴滴青桔单车/电单车出行助手 with practical usage guidance. - Renamed skill to “滴滴青桔” and updated version to 1.0.0 - Replaced “开发中” notice with comprehensive instructions and information - Added detailed bike/e-bike pricing, usage tips, scenarios, and app instructions - Defined core user scenarios and safety/work guidelines - Updated last modified date to 2026-03-16
v0.1.0
Didi Bike Skill 0.1.0 (Coming Soon) - Initial announcement of the Didi Bike OpenClaw Skill. - Planned features include AI-powered enhancements, intelligent analysis, and automation. - Status set to "coming soon"; currently under development. - Contact information provided for collaboration and inquiries.
Metadata
Slug didi-bike
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is Didi Bike?

青桔单车出行助手,精通骑行路线、站点推荐、费用优化、出行建议. It is an AI Agent Skill for Claude Code / OpenClaw, with 248 downloads so far.

How do I install Didi Bike?

Run "/install didi-bike" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Didi Bike free?

Yes, Didi Bike is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Didi Bike support?

Didi Bike is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Didi Bike?

It is built and maintained by zhangifonly (@zhangifonly); the current version is v1.0.0.

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