# Data Source Intake

> Standard intake checklist for evaluating geospatial data sources before use.

- Skill: `georetina/data-source-intake` (Agent Skill)
- Install (CLI): `npx skillmds@latest add georetina/data-source-intake`
- Raw SKILL.md: https://api.skillmd.com/api/skills/georetina/data-source-intake/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: georetina (https://skillmd.com/u/georetina)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/georetina/data-source-intake

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# Data Source Intake

## When To Use

- Use before connecting a new STAC, COG, WMS, WMTS, PMTiles, or S3 source.
- Use when a dataset is external, unfamiliar, or recently updated.
- Use when trust, provenance, or refresh cadence matters.

## Workflow

1. Capture source identity: owner, endpoint, and access method.
2. Validate spatial and temporal coverage against user goals.
3. Check schema, key fields, and data freshness.
4. Verify licensing, usage constraints, and provenance metadata.
5. Produce a readiness verdict: usable now, usable with caveats, or blocked.

## Guardrails

- Do not skip license and usage checks for external datasets.
- Do not hide unknown refresh cadence or missing provenance.
- Document blocking risks before moving to analysis.