geo-schema SKILL.md skillB

geo-schema from techhorizonlabs/thl-open is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add techhorizonlabs/thl-open/geo-schema@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
B, 16 of 17 checks passed
Kind
SKILL.md skill
Repository
techhorizonlabs/thl-open
Path
skills/geo-schema/SKILL.md
Versions recorded
5
Latest version
v1.0.0, committed Oct 9, 2026
First version recorded
Jun 15, 2026
Size
15,001 bytes
Repository stars
17
License
MIT

Schema.org structured data audit and generation optimized for AI discoverability: detect, validate, and generate JSON-LD markup.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# GEO Schema & Structured Data

## Purpose

Structured data is the primary machine-readable signal that tells AI systems what an entity IS, what it does, and how it connects to other entities. While schema markup has traditionally been about earning Google rich results, its role in GEO is fundamentally different: **structured data is how AI models understand and trust your entity**. A complete entity graph in structured data dramatically increases citation probability across all AI search platforms.

## How to Use This Skill

1. Fetch the target page HTML using `fetch_page.py` (see note below)
2. Detect all existing structured data (JSON-LD, Microdata, RDFa)
3. Validate detected schemas against Schema.org specifications
4. Identify missing recommended schemas based on business type
5. Generate ready-to-use JSON-LD code blocks
6. Output GEO-SCHEMA-REPORT.md

---

## Step 1: Detection

**IMPORTANT:** WebFetch converts HTML to markdown and strips `<head>` content, which removes JSON-LD blocks. Use `fetch_page.py` instead:
```bash
python3 scripts/fetch_page.py <url> page
```
The output includes a `structured_data` array with all parsed JSON-LD blocks from the page.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add techhorizonlabs/thl-open/geo-schema@sha256:60d35eae0069351a

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ag2n6dz7y34efyvt.svg)](https://markdownregistry.com/a/art_ag2n6dz7y34efyvt)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Jun 15, 2026 and Oct 9, 2026, about one every 29 days.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-10-09 579b7a3 15,001 BB view · diff
v1.0.02026-10-09 70cb71b 14,999 BB view · diff
v1.0.02026-07-09 553c4f1 15,080 BB view · diff
v1.0.02026-06-15 2f344cc 15,048 BB view · diff
v1.0.02026-06-15 1faef8b 14,713 BB view

Audit of the latest version

B  16 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • fail: No script tag (matched: <script)
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (15001 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address

Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.

Source

GitHub

techhorizonlabs/thl-open · 17 stars · license MIT · pushed 2026-10-09 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ag2n6dz7y34efyvt
GET https://markdownregistry.com/api/v1/resolve?ref=techhorizonlabs/thl-open/geo-schema
GET https://markdownregistry.com/api/v1/blob/60d35eae0069351ae8c8a87a1e4898cfd33f8c88c9817475ac89db37329b282b

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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