Ev Charger Locations

v0.1.0

Find EV charging stations along a route or near a destination using Camino AI's location intelligence with OpenStreetMap data.

2· 640·0 current·0 all-time

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for james-southendsolutions/camino-ev-charger.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Ev Charger Locations" (james-southendsolutions/camino-ev-charger) from ClawHub.
Skill page: https://clawhub.ai/james-southendsolutions/camino-ev-charger
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required env vars: CAMINO_API_KEY
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Canonical install target

openclaw skills install james-southendsolutions/camino-ev-charger

ClawHub CLI

Package manager switcher

npx clawhub@latest install camino-ev-charger
Security Scan
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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.
What to consider before installing
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.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

Clawdis
EnvCAMINO_API_KEY
Primary envCAMINO_API_KEY
latestvk979ncage7mfbjmf6qs99c4gg98182rr
640downloads
2stars
1versions
Updated 1mo ago
v0.1.0
MIT-0

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": "you@example.com"}' \
  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

ParameterTypeRequiredDefaultDescription
querystringNo"EV charging stations"Search query (override for specific charger types)
latfloatNo-Latitude for search center. AI generates if omitted for known locations.
lonfloatNo-Longitude for search center. AI generates if omitted for known locations.
radiusintNo5000Search radius in meters (larger default for EV chargers)
limitintNo20Maximum 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

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