Menu

Individual skill

geo-sleuth

0upvotes

Geolocate or chronolocate a photo with tool-verified reasoning (where was this taken / when was it taken / photo geolocation / geo-guessing). Given one or more photos, intake.py does metadata, OCR and reverse image search (Baidu/Yandex) in one command; clues and candidates go on a candidate board (board.py) that ranks them and gives the next step; clues.py looks up calling codes, driving side, plates and area codes from region packs; for satellite and street view the machine ranks first and you look only at the top few (CLIP in sat_scan.py, DINOv2+SIFT in match.py); plus sun and shadow math, OSM Overpass and DEM skylines. Every conclusion is checked against real data; output is coordinates + error radius, evidence images and tiered confidence. Use when the user shares a photo and asks where was this taken / geolocate this / when was this taken / 这是哪 / 在哪拍的 / 帮我定位这张照片 / 网络迷踪 / 图寻 / 几点拍的.

skills/geo-sleuth/SKILL.md

Read pinned source

Source commit 5aeec412c5496136b4b36259679f79b8a2d09cec

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
Yes
Repository scan complete
No
Skill scan complete
No
Observed behavior
Network or broad shell
Last checked
Nov 9, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
6,665
Repository last updated
Nov 5, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# geo-sleuth (v2)

Goal: find a location that **holds up under checking**. Every conclusion must point to the clue it used, the command it ran and the file it produced.

> `${CLAUDE_SKILL_DIR}` in commands means the directory containing this SKILL.md (the same for commands in references). Claude Code substitutes it automatically; in other agents, first `export CLAUDE_SKILL_DIR=<absolute path of this directory>` before running (if the shell doesn't keep variables between commands, prefix every command with it), or replace it with that path directly.

The work is split into three layers. Remember this first, then read the flow:

| Layer | Who | Tools |
|---|---|---|
| Decision: which candidates exist, how evidence is scored, whether a candidate can be excluded, what to scan next | **Script** (candidate board) | `board.py` |
| Perception: reading text, table lookups, finding targets in satellite imagery, street-view matching | **Scripts compute and rank first; you look only at the top few** | `intake.py` `ocr.py` `clues.py` `sat_scan.py` `match.py` `geo.py bearings` |
| Judgment: pulling clues out of the image, proposing hypotheses when the tables have nothing, deciding among the machine's top few | **You** | — |
Back to top