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Auto Repair
by
mikeclaw007
· GitHub ↗
· v0.1.0
· MIT-0
121
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Install in OpenClaw
/install auto-repair
Description
Find nearby auto repair. Invoke when user asks for car repair near me.
README (SKILL.md)
Nearby Auto Repair
用途
- 提供用户当前位置附近的 Auto Repair 汽车维修服务列表
- 统一返回字段与查询行为，便于前端/接口复用
触发条件
- 用户询问“汽车维修 附近 / auto repair near me / car repair”
输入参数
- location: 经纬度 { lat, lng }，必填
- radius_meters: 查询半径，默认 3000
- limit: 返回数量上限，默认 20，最大 50
- filters: 可选筛选（是否专修品牌、是否救援、是否24小时等）
响应字段
- 统一参见 STANDARD_RESPONSE.md
- 本技能 category 固定为 "auto-repair"
错误码
- INVALID_LOCATION: 经纬度不合法
- RADIUS_TOO_LARGE: 超过最大查询半径
- PROVIDER_UNAVAILABLE: 数据源不可用
- RATE_LIMITED: 触发速率限制
示例
- 输入: { location: { lat: 30.123, lng: 120.456 }, radius_meters: 2500, limit: 10 }
- 输出: 标准 POI 列表（见 STANDARD_RESPONSE.md）
隐私与速率限制
- 仅在用户授权定位后查询
- 避免保留精确坐标，必要时进行网格化模糊处理
Usage Guidance
Before installing, ask the skill author to clarify two things: (1) Which data source(s) will the skill use to find POIs, and what credentials (API keys) are required? Those credentials should be declared explicitly in requires.env if needed. (2) Replace or remove the file:///Users/... link to STANDARD_RESPONSE.md — that points to a developer's local path and may prompt the agent to try reading files on the host. Confirm how the skill will access the response schema (embed it in the skill or point to a public URL). Also confirm the exact location-handling policy (how long precise coordinates are kept, how they are blurred), and refuse to install if the skill intends to read arbitrary local files or call external services without declaring required credentials.
Capability Analysis
Type: OpenClaw Skill
Name: auto-repair
Version: 0.1.0
The skill bundle contains standard metadata and instructions (SKILL.md) for an AI agent to provide nearby auto repair services. It defines clear input parameters, error codes, and privacy guidelines such as location blurring, with no evidence of malicious code, data exfiltration, or prompt injection.
Capability Assessment
Purpose & Capability
Name/description align with functionality (nearby auto repair). However, the SKILL.md does not specify any data provider or API (e.g., Google/Here/Mapbox) or declare credentials that would commonly be needed to query POI data. That omission makes it unclear how the skill expects to obtain results — either it relies on an implicit platform capability (not documented) or it will try to call external services without declaring necessary keys.
Instruction Scope
The instructions reference STANDARD_RESPONSE.md via a local file URI (file:///Users/mac_lkm/...), which points to a developer-local path. This could cause the agent to attempt to access the host filesystem for that file (privacy / reliability concern). The SKILL.md also lacks concrete guidance on which external endpoints to call or what network calls are expected, so the agent may take broad discretion to fetch POI data from unspecified sources.
Install Mechanism
Instruction-only skill with no install spec and no code files. This is low-risk from an installation/execution perspective because nothing is written to disk by the skill package itself.
Credentials
No environment variables or credentials are requested — good for limiting scope — but this is also odd for a POI-search skill which typically requires API keys or service credentials. The lack of declared credentials is either an intentional design that uses platform-provided location/lookup services, or an omission that could lead the agent to attempt network calls without declared secrets.
Persistence & Privilege
Skill is not always-enabled and is user-invocable; it does not request elevated persistence or modify other skill/system configs. This is appropriate for the described functionality.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install auto-repair - After installation, invoke the skill by name or use
/auto-repair - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release of "附近汽车维修" (Nearby Auto Repair) skill:
- Provides a list of nearby auto repair services based on user location.
- Standardized input parameters (location, radius, limit, filters) for ease of integration.
- Returns results in a unified format; category fixed as "auto-repair".
- Handles specific errors such as invalid location, excessive radius, unavailable providers, and rate limiting.
- Runs only with user location authorization; includes privacy considerations like coordinate blurring.
Metadata
Frequently Asked Questions
What is Auto Repair?
Find nearby auto repair. Invoke when user asks for car repair near me. It is an AI Agent Skill for Claude Code / OpenClaw, with 121 downloads so far.
How do I install Auto Repair?
Run "/install auto-repair" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Auto Repair free?
Yes, Auto Repair is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Auto Repair support?
Auto Repair is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Auto Repair?
It is built and maintained by mikeclaw007 (@mikeclaw007); the current version is v0.1.0.
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