Find EV charging stations along a route or near a destination using Camino AI's location intelligence with OpenStreetMap data.
Security Analysis
medium confidenceThe skill appears to do what it says (call Camino AI to find EV chargers) but has a small inconsistency (it uses jq and curl in its script while the metadata lists no required binaries) and a few things you should double-check before installing.
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.
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.
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.
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.
always:false and default model invocation settings — no elevated persistence or system-wide modifications. The skill does not modify other skills or global configs.
Guidance
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.
Latest Release
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.
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Published by @James-southendsolutions on ClawHub