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How to match a mountain skyline to a power line site with Geo Sleuth

Use nearby power lines and the ridge line in a photo to narrow a location in a region.

  • Research
  • Advanced
  • 45 minutes
  • From the README
  • Claude Code
  • Codex
  • Cursor
  • Gemini CLI

Authorization notice. Geo Sleuth is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.

Reverse engineering. Matching a photo's skyline to terrain can reveal the place where a person stood, so confirm the purpose before running it on private photos.

Who it is forA researcher with a landscape photo that shows bare mountains and a few pylons but no text, roads or buildings.

The problemMany sites share similar ridges, so a plain skyline search often leaves several candidates that score about the same.

The outcomeThe agent narrows the candidates to a single site with a skyline score and a satellite check along the line of sight.

What you need first

  • An agent that reads SKILL.md and can run shell commands (the README names Claude Code, Codex, Cursor, Gemini CLI, OpenCode and GitHub Copilot)
  • Python, since the scripts are written in Python
  • Node.js with npx, to run the install command (inferred from the npx install line)
  • Network access for OpenStreetMap data, elevation data, satellite tiles and street view, as the README describes
  • The photo to locate, with EXIF data preferably stripped or absent as in the README cases

Steps

  1. Install the skill with npx skills add Oldcircle/geo-sleuth and confirm the checks in doctor.py pass.
  2. Tell the agent which region the photo is in, such as a province or country, as a hint.
  3. Have the agent run osm.py geom to pull the power lines for the region. (inferred, check the README)
  4. Have the agent run terrain.py scan to find sites where mountains fill the view, then terrain.py ridge on the photo. (inferred, check the README)
  5. Have the agent run terrain.py fit on the candidate sites and check the best site on satellite imagery. (inferred, check the README)

Prompt for your agent

Use the geo-sleuth skill from the Oldcircle/geo-sleuth repo to narrow where <path to photo> was taken, using power lines and the ridge line in the photo. Expect a single candidate site with its fit score and a satellite image of the line of sight. Verify that the score and the files produced by terrain.py fit are cited in the answer.

Caveat. The desert case needed a roll fit added to terrain.py fit for a 1 degree tilt, and the README says the default cluster setting can leave some hits unfit.

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