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How to find where a photo without GPS was taken with Geo Sleuth

Give an agent a photo with no location data and get back camera position, heading and an evidence image.

  • Top pick
  • Research
  • Intermediate
  • 75 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.

Remote script. The install command fetches and runs the skill from GitHub, so review the repo before installing on a machine with sensitive files.

Reverse engineering. The skill can pinpoint where a person was photographed, so use it only on photos you have the right to analyze and do not use it to track individuals.

Who it is forAn OSINT researcher or journalist holding a photo with stripped EXIF data who needs its location for a story or check.

The problemA photo with no sign, plate or landmark gives no obvious clue, and manual search across maps and terrain takes hours.

The outcomeThe agent returns the camera position with an error radius, the direction the camera faced, a satellite evidence image and a graded confidence.

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. Run npx skills add Oldcircle/geo-sleuth and pick your agents when prompted.
  2. Ask the agent to run doctor.py from the installed skill's scripts/ folder and fix any failed checks. (inferred, check the README)
  3. Hand the agent the photo and say: find where this photo was taken.
  4. Read the returned coordinates, error radius, heading and evidence image.
  5. Open the evidence image and check that the named files and commands from the session support the conclusion.

Prompt for your agent

Use the geo-sleuth skill from the Oldcircle/geo-sleuth repo to find where <path to photo> was taken. Expect a camera position with an error radius, a heading, a satellite evidence image and a confidence grade. Verify that the conclusion names the commands run and the files they produced.

Caveat. The README's cases are single runs by one model, and the README says a different model or different choices may not reach the same result.

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