Oldcircle/geo-sleuth
An agent skill that finds where a photo was taken — OpenStreetMap geometry, elevation skylines, satellite imagery and street view — and shows its work. Works with Claude Code, Codex, Cursor, Gemini CLI, OpenCode and GitHub Copilot.
Older snapshot: check the original source for current information.
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
An agent skill that finds where a photo was taken — and shows its work. Works with …and any other agent that reads SKILL.md and runs shell commands. No text. No plates. No landmarks. One bridge, one mountain. Located to within 2 m. Pick your agents when prompted. Then hand your agent a photo and say: On first use, ask the agent to run doctor.py from the installed skill’s scripts/ folder and address any failed checks (see Requirements and setup). That is the whole interface. The agent reads SKILL.md, runs the scripts, and comes back with the camera position, the direction it was facing and a satellite evidence image. Prefer to copy the folder yourself? See Installation. None of these photos had GPS data. Each case lists what the skill read from the photo, how it narrowed the search, and how far the result landed from the confirmed camera position.…
Read the full README ↗ · Preview checked 2026-11-05T09:14:26.369Z
Inside the original README — Document outline
- 🧭 geo-sleuth
- Quick start
- Why geo-sleuth
- Cases
- 1. A rice paddy and a viaduct
- 2. A desert skyline, one degree off
- 3. A cherry tree on a Vancouver street
- Installation
- How it works
- Toolbox
- Benchmarks
- Requirements and setup
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Links from the README
References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.
Documentation belongs to its respective authors. Reported project/model license: MIT. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
What this repository does
An agent skill that finds where a photo was taken — OpenStreetMap geometry, elevation skylines, satellite imagery and street view — and shows its work. Works with Claude Code, Codex, Cursor, Gemini CLI, OpenCode and GitHub Copilot.
Repository facts
- Owner
- Oldcircle
- Primary language
- Python
- Stars
- 3,290
- Forks
- 439
- Open issues + pull requests
- 13
- License
- MIT
- Archived
- No
- Default branch
- main
- Created
- 2026-09-18T08:51:34.000Z
- Last push
- 2026-10-18T10:03:13.000Z
Topics and intended use
Owner-supplied topics: agent-skills, ai-agents, claude-code, codex, computer-vision, cursor, gemini-cli, geoguessr, geoint, geolocation, github-copilot, image-geolocation, opencode, openstreetmap, osint, photo-geolocation, reverse-image-search, satellite-imagery
Review the README for scope, installation, examples and limitations. We do not run repository code or certify it.
Evaluate before installing
Review licensing and dependencies, inspect recent commits and unresolved issues, and test in an isolated environment before production use. Stars and forks alone cannot answer these questions.
Source and freshness
Source: GitHub. Metadata observed 2026-10-18T12:11:03.329Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
Related repositories
EbookFoundation/free-programming-books
donnemartin/system-design-primer