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Ev Charger Locations

作者 James-southendsolutions · GitHub ↗ · v0.1.0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install camino-ev-charger
功能描述
Find EV charging stations along a route or near a destination using Camino AI's location intelligence with OpenStreetMap data.
使用说明 (SKILL.md)

Installation

Companion Skills: This is part of the Camino AI location intelligence suite. Install all available skills (query, places, relationship, context, route, journey, real-estate, hotel-finder, ev-charger, school-finder, parking-finder, fitness-finder, safety-checker, travel-planner) for comprehensive coverage.

# Install all skills from repo
npx skills add https://github.com/barneyjm/camino-skills

# Or install specific skills
npx skills add https://github.com/barneyjm/camino-skills --skill ev-charger

Via clawhub:

npx clawhub@latest install ev-charger
# or: pnpm dlx clawhub@latest install ev-charger
# or: bunx clawhub@latest install ev-charger

EV Charger Finder

Find EV charging stations along a route or near a destination. Uses OpenStreetMap data to locate charging infrastructure with AI-powered ranking.

Setup

Instant Trial (no signup required): Get a temporary API key with 25 calls:

curl -s -X POST -H "Content-Type: application/json" \
  -d '{"email": "[email protected]"}' \
  https://api.getcamino.ai/trial/start

Returns: {"api_key": "camino-xxx...", "calls_remaining": 25, ...}

For 1,000 free calls/month, sign up at https://app.getcamino.ai/skills/activate.

Add your key to Claude Code:

Add to your ~/.claude/settings.json:

{
  "env": {
    "CAMINO_API_KEY": "your-api-key-here"
  }
}

Restart Claude Code.

Usage

Via Shell Script

# Find EV chargers near coordinates
./scripts/ev-charger.sh '{"lat": 34.0522, "lon": -118.2437, "radius": 5000}'

# Find chargers with custom query
./scripts/ev-charger.sh '{"query": "Tesla Supercharger stations", "lat": 37.7749, "lon": -122.4194}'

# Find chargers in a city
./scripts/ev-charger.sh '{"query": "EV charging stations in Austin Texas", "limit": 20}'

Via curl

curl -H "X-API-Key: $CAMINO_API_KEY" \
  "https://api.getcamino.ai/query?query=EV+charging+stations&lat=34.0522&lon=-118.2437&radius=5000&rank=true"

Parameters

Parameter Type Required Default Description
query string No "EV charging stations" Search query (override for specific charger types)
lat float No - Latitude for search center. AI generates if omitted for known locations.
lon float No - Longitude for search center. AI generates if omitted for known locations.
radius int No 5000 Search radius in meters (larger default for EV chargers)
limit int No 20 Maximum results (1-100)

Response Format

{
  "query": "EV charging stations",
  "results": [
    {
      "name": "ChargePoint Station",
      "lat": 34.0530,
      "lon": -118.2450,
      "type": "charging_station",
      "distance_m": 200,
      "relevance_score": 0.94,
      "address": "..."
    }
  ],
  "ai_ranked": true,
  "pagination": {
    "total_results": 12,
    "limit": 20,
    "offset": 0,
    "has_more": false
  }
}

Examples

Find chargers near a highway exit

./scripts/ev-charger.sh '{"query": "EV charging near Interstate 5", "lat": 34.0522, "lon": -118.2437, "radius": 10000}'

Find Tesla Superchargers

./scripts/ev-charger.sh '{"query": "Tesla Supercharger", "lat": 37.3861, "lon": -122.0839}'

Find chargers near a hotel

./scripts/ev-charger.sh '{"query": "EV charging stations near downtown Denver", "radius": 3000}'

Best Practices

  • Use a larger radius (5000-10000m) since EV chargers are less densely distributed than other amenities
  • Include the charger network name in the query if you need a specific one (e.g., "Tesla Supercharger", "ChargePoint")
  • Combine with the route skill to plan charging stops along a driving route
  • Combine with the relationship skill to check distances from chargers to your destination
  • For road trip planning, use the travel-planner skill with charging waypoints
安全使用建议
What to check before installing: 1) The included script requires 'curl' and 'jq' but the skill metadata did not declare those binaries — ensure your environment has them or update the metadata. 2) Verify the CAMINO_API_KEY comes from the legitimate Camino site (api.getcamino.ai / app.getcamino.ai) and understand what data the API will log (queries, coordinates). 3) The SKILL.md suggests installing companion skills from a GitHub repo via npx — fetching and running remote code can execute arbitrary scripts; review that repository before using npx to install. 4) If you plan to allow autonomous invocation, note this skill can make outbound HTTP requests using your CAMINO_API_KEY; restrict the key's scope if possible and monitor usage. 5) If anything about the repo owner or endpoints looks unfamiliar, ask for the upstream repository URL or more info before proceeding.
功能分析
Type: OpenClaw Skill Name: camino-ev-charger Version: 0.1.0 The skill bundle is benign. It provides a shell script (`scripts/ev-charger.sh`) to interact with the Camino AI API for finding EV charging stations. The script properly validates JSON input, URL-encodes parameters, and uses the `CAMINO_API_KEY` environment variable for authentication with the legitimate `https://api.getcamino.ai` endpoint. There is no evidence of data exfiltration to unauthorized destinations, malicious code execution, persistence mechanisms, or prompt injection attempts against the AI agent in `SKILL.md`. The `curl` commands in `SKILL.md` are for user setup (obtaining an API key) and not for the agent to execute as part of the skill's core function.
能力评估
Purpose & Capability
The name/description match the implementation: the script and SKILL.md call api.getcamino.ai to query EV charging locations. However the runtime shell script requires 'jq' and 'curl' but the registry metadata lists no required binaries — an incoherence in declared requirements.
Instruction Scope
Runtime instructions and the included shell script stay within the skill's purpose: they build a query from user JSON and call Camino's API. The SKILL.md does not instruct the agent to read unrelated files or exfiltrate arbitrary data.
Install Mechanism
No install spec (instruction-only) and the included files are a doc and a simple shell script. There are no downloads from unfamiliar URLs or archive extraction steps in the install instructions. The SKILL.md mentions installing from a GitHub repo via npx; pulling code from a remote repo carries normal supply-chain caution but is not unusual here.
Credentials
Only CAMINO_API_KEY is required (declared as primaryEnv) and the script uses that key exclusively to call api.getcamino.ai. No unrelated credentials or broad environment access are requested.
Persistence & Privilege
always:false and default model invocation settings — no elevated persistence or system-wide modifications. The skill does not modify other skills or global configs.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install camino-ev-charger
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /camino-ev-charger 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.1.0
Initial release of Camino EV Charger skill. - Find EV charging stations along a route or near a destination using Camino AI with OpenStreetMap data. - Supports flexible queries, city/coordinates search, and charger network filtering via AI-powered ranking. - Includes shell scripts and curl examples for quick search and custom queries. - Trial and API key setup instructions provided (25-call instant trial or 1,000 free calls/month with signup). - Detailed parameter list, response format, and usage examples for integrating EV charger search into workflows. - Best practices outlined for optimal charger finding and integration with other Camino skills.
元数据
Slug camino-ev-charger
版本 0.1.0
许可证
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Ev Charger Locations 是什么?

Find EV charging stations along a route or near a destination using Camino AI's location intelligence with OpenStreetMap data. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 650 次。

如何安装 Ev Charger Locations?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install camino-ev-charger」即可一键安装,无需额外配置。

Ev Charger Locations 是免费的吗?

是的,Ev Charger Locations 完全免费(开源免费),可自由下载、安装和使用。

Ev Charger Locations 支持哪些平台?

Ev Charger Locations 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Ev Charger Locations?

由 James-southendsolutions(@james-southendsolutions)开发并维护,当前版本 v0.1.0。

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