Umeå Data

Query public open data from Umeå kommun on locations, facilities, demographics, environment, infrastructure, and building permits with geospatial support.

Security Scan

The skill legitimately queries Umeå open data, but there are coherence issues: required CLI dependencies (curl, jq) aren't declared and nearby.sh references a missing helper (distance.jq), which could break or hide unexpected behavior.

Purpose & Capability

The skill's stated purpose (query Umeå open data) matches the API endpoints used. However, the package metadata declares no required binaries while the shipped scripts clearly call curl and jq — these should be declared. This mismatch is an incoherence that could cause runtime failures or conceal additional requirements.

Instruction Scope

SKILL.md and the scripts restrict actions to querying a public API (https://opendata.umea.se) and processing results. The instructions do not ask for secrets, nor do they reference unrelated system files or external endpoints beyond the official open-data domain.

Install Mechanism

There is no install spec (instruction-only), so nothing is downloaded or written by an installer. This is low risk, but it increases the importance of reviewing included scripts before running them locally.

Credentials

The skill declares no required environment variables or credentials (appropriate for public data). However, the scripts require network access and the CLI tools curl and jq which are not declared. The lack of declared binaries is a proportionality/visibility issue — the runtime needs these tools but the metadata doesn't inform the user.

Persistence & Privilege

The skill does not request persistent presence (always: false) and does not attempt to modify other skills or system-wide settings. It appears to be user-invokable only and does not request elevated privileges.

What to consider before installing

This skill appears to do what it claims (query public Umeå open data) and does not ask for secrets. Before installing or running it: 1) Inspect the scripts locally — especially nearby.sh and query.sh. 2) Ensure your system has curl and jq available (the skill does not declare these dependencies). 3) Note that nearby.sh references a file scripts/distance.jq which is not present in the package; running nearby.sh as-is will fail or behave unexpectedly — ask the author for the missing file or a corrected script. 4) Because the scripts make network requests to a public API, there's no credential risk, but always review third-party scripts before execution. If you need this skill to run autonomously in an agent, consider requiring explicit dependency declarations or bundling the missing helper to avoid surprises.

Umeå Data - Open Data från Umeå kommun

Query open data from Umeå kommun about locations, facilities, demographics, environment, and more.

API Base URL

https://opendata.umea.se/api/v2/

Available Data Categories

🏞️ Recreation & Facilities

Lekplatser (Playgrounds)

• Dataset ID: gop_lekparker
• Contains playground locations managed by Gator och Parker
• Fields: namn, omrade, coordinates (geo_point_2d), contact info
• Example: "Var är närmaste lekplats till Mariehem?"

Badplatser (Swimming Spots)

• Dataset ID: badplatser
• Public swimming locations in Umeå
• Fields: namn, omrade, typ, coordinates, handik_anp (accessibility)
• Example: "Vilka badplatser finns i Umeå?"

Vandringsleder (Hiking Trails)

• Dataset ID: vandringsleder
• Hiking trails with routes and distances
• Fields: namn, delstracka, kommun, klass, langd (length in meters), geo_shape (trail geometry)
• Example: "Var kan jag vandra i Umeå?"

Rastplatser (Rest Areas)

• Dataset ID: rastplatser
• Rest stops and picnic areas
• Fields: name, location coordinates
• Example: "Var finns rastplatser?"

Träd (Trees)

• Dataset ID: trad-som-forvaltas-av-gator-och-parker
• Trees managed by Gator och Parker
• Fields: tree type, location, management data
• Example: "Vilka träd finns i området?"

⚡ Infrastructure

Laddplatser (EV Charging Stations)

• Dataset ID: laddplatser
• Electric vehicle charging stations
• Fields: name, street, house_number, zipcode, city, owned_by, operator, number_charging_points, available_charging_points, position (lon/lat)
• Example: "Finns det laddplatser nära centrum?"

WiFi Hotspots

• Dataset ID: wifi-hotspots
• Public WiFi access points
• Fields: popularnamn (name), koordinat (coordinates)
• Example: "Var finns gratis wifi i Umeå?"

🏗️ Building & Planning

Bygglov Beslut (Building Permit Decisions)

• Dataset ID: bygglov-beslut
• Approved building permits
• Fields: arendebeskrivning, arendetyp, beslut, beslutsdatum, registreringsdatum, beslutstyp
• Example: "Vilka bygglov har beviljats nyligen?"

Bygglov Inkomna Ärenden (Building Permit Applications)

• Dataset ID: bygglov-inkomna-arenden
• Incoming building permit applications
• Fields: application details, submission date, status
• Example: "Hur många bygglovsansökningar har kommit in?"

📊 Demographics & Statistics

Befolkningsförändringar (Population Changes)

• Dataset ID: befolkningsfoeraendringar-helar
• Population change statistics
• Fields: year, births, deaths, migration, total change
• Example: "Hur har befolkningen förändrats i Umeå?"

Bostadsbestånd (Housing Stock)

• Dataset ID: bostadsbestand-hustyp
• Housing inventory by type
• Fields: house type, count, area
• Example: "Hur ser bostadsbeståndet ut?"

🌍 Environment

Växthusgasutsläpp (Greenhouse Gas Emissions)

• Dataset ID: vaxthusgasutslapp_umea
• Greenhouse gas emissions data for Umeå
• Fields: year, sector, emissions (tons CO2 equivalent)
• Example: "Vad är Umeås växthusgasutsläpp?"

Brottsstatistik (Crime Statistics)

• Dataset ID: exempel-brottsstatistik-anmaelda-brott-fran-bra-s-oeppna-data
• Reported crimes from BRÅ open data
• Fields: crime type, count, year
• Example: "Hur ser brottsstatistiken ut?"

Usage

Query a Dataset

./scripts/query.sh <dataset_id> [limit]

Example:

./scripts/query.sh badplatser 10
./scripts/query.sh laddplatser 20

Find Nearest Location

./scripts/nearby.sh <dataset_id> <lat> <lon> [limit]

Example:

# Find nearest playground to Mariehem (approx coordinates)
./scripts/nearby.sh gop_lekparker 63.8200 20.3000 5

# Find nearest EV charging station to city center
./scripts/nearby.sh laddplatser 63.8258 20.2630 5

API Endpoints

List All Datasets

curl "https://opendata.umea.se/api/v2/catalog/datasets"

Get Records from a Dataset

curl "https://opendata.umea.se/api/v2/catalog/datasets/{dataset_id}/records?limit=20"

Search Datasets

curl "https://opendata.umea.se/api/v2/catalog/datasets?where=search(default,\"query\")"

Data Format

All records follow this structure:

{
  "total_count": 123,
  "records": [
    {
      "record": {
        "id": "unique-id",
        "timestamp": "2024-01-01T12:00:00Z",
        "fields": {
          "namn": "Location Name",
          "geo_point_2d": {
            "lat": 63.825,
            "lon": 20.263
          },
          ...
        }
      }
    }
  ]
}

Natural Language Query Examples

The AI can answer questions like:

Recreation:

• "Var är närmaste lekplats till Mariehem?"
• "Vilka badplatser finns i Umeå?"
• "Var kan jag vandra?"
• "Finns det någon rastplats nära E4?"

Infrastructure:

• "Finns det laddplatser nära centrum?"
• "Var finns gratis wifi?"
• "Hur många laddstolpar finns det totalt?"

Planning:

• "Vilka bygglov har beviljats nyligen?"
• "Vad byggs i Umeå just nu?"

Demographics & Environment:

• "Hur har befolkningen förändrats?"
• "Vad är Umeås växthusgasutsläpp?"
• "Hur många bostäder finns i Umeå?"
• "Hur ser brottsstatistiken ut?"

Notes

• No API key required
• All data is public and open
• Coordinates use WGS84 (lat/lon)
• Some datasets include geo_shape for trails/routes
• Updated regularly by Umeå kommun