Search for gyms, yoga studios, swimming pools, and sports facilities using Camino AI's location intelligence with AI-powered ranking.
Security Analysis
high confidenceThe skill's code, instructions, and requested credential (CAMINO_API_KEY) align with a location-based fitness search; there are no unexplained privileges, installs, or exfiltration behaviors.
Name/description (fitness location search) match the requested credential (CAMINO_API_KEY) and the actions in SKILL.md and the shell script (HTTP calls to api.getcamino.ai). Nothing requested appears unrelated to finding fitness locations.
Runtime instructions and the included scripts are limited to building a query, calling Camino's API, and printing JSON results. The SKILL.md does not instruct reading unrelated files or environment variables beyond CAMINO_API_KEY, nor sending data to unexpected endpoints.
No install spec is provided (instruction-only with a companion script). Suggested install commands reference a GitHub repo via npx/clawhub which is typical; nothing downloads arbitrary or obfuscated binaries directly in the files reviewed.
Only a single API key (CAMINO_API_KEY) is required and is necessary for the documented HTTP requests. No additional secrets, system configs, or unrelated credentials are requested.
always is false and the skill does not request persistent or system-wide changes. The SKILL.md suggests adding the API key to a local Claude settings file, which is a user-side convenience rather than an elevated privilege request.
Guidance
This skill appears to be what it claims: a wrapper around Camino's location API. Before installing: 1) Verify the GitHub repository and publisher (the SKILL.md references installation from a repo) to ensure you trust the source. 2) Use the trial key or a scoped key if possible; store the CAMINO_API_KEY only in places you control (the README suggests ~/.claude/settings.json). 3) Be aware the skill makes network requests to api.getcamino.ai and will transmit query parameters (location/search terms). 4) Ensure jq and curl are installed and that you are comfortable with the CLI install commands. 5) If you stop using the skill, revoke the API key from your Camino account. Overall risk is low and proportional to its stated purpose.
Latest Release
v0.1.0
Initial release: Search gyms, yoga studios, pools, and sports facilities with AI-powered ranking. - Supports location-based queries using OpenStreetMap data and Camino AI. - Flexible querying: filter by facility type, location, radius, and limit. - Provides AI-ranked results with distance, relevance, and address details. - Offers multiple integration methods: shell script, curl, and clawhub. - Includes usage examples and best practice recommendations for combining with other Camino location skills.
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