wikimedia-petscan SKILL.md skillA

wikimedia-petscan from fuzheado/wikipedia-ai-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add fuzheado/wikipedia-ai-skills/wikimedia-petscan@git:20260915.99e5da5

Pins git:20260915.99e5da5 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
fuzheado/wikipedia-ai-skills
Path
.claude/skills/wikimedia-petscan/SKILL.md
Versions recorded
2
Latest version
git:20260915.99e5da5, committed Sep 15, 2026
First version recorded
Jun 30, 2026
Size
13,280 bytes
Repository stars
27
License
MIT

Use PetScan for multi-source Wikimedia queries — category intersections, template filtering, SPARQL integration, Wikidata item queries, and bulk data export via the URL API and PSID system.

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

> ℹ️ **User-Agent required:** All API examples in this skill access PetScan (`petscan.wmcloud.org`). Include a descriptive `User-Agent` header as described in the **[wikimedia-api-access](../wikimedia-api-access/SKILL.md)** skill.

> 💡 **Related skills for complementary query approaches:**
> - **[wikipedia-categories](../wikipedia-categories/SKILL.md)** — Category tree navigation, `incategory:` policy, and the `category-intersect.py` asset
> - **[wikimedia-search-cirrussearch](../wikimedia-search-cirrussearch/SKILL.md)** — Full-text and structural search with CirrusSearch
> - **[wikidata](../wikidata/SKILL.md)** — SPARQL querying when PetScan's built-in SPARQL source is too limited
> - **[wikimedia-commons-sparql](../wikimedia-commons-sparql/SKILL.md)** — Commons-specific SPARQL queries for MediaInfo entities

---

## SOP: What PetScan Is

**[PetScan](https://petscan.wmcloud.org/)** is a powerful multi-source querying tool for Wikimedia, created by Magnus Manske as the successor to CatScan2. Winner of the **Coolest Tool Award 2022**.

It generates lists of pages or Wikidata items matching criteria across up to **6 source tabs** simultaneously:

| Tab | What it queries | Example |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add fuzheado/wikipedia-ai-skills/wikimedia-petscan@sha256:d3e7906aa7fe2907

The line at the top of this page pins the label git:20260915.99e5da5, 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_omknrkdl6pfpd656.svg)](https://markdownregistry.com/a/art_omknrkdl6pfpd656)

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

Versions

The registry has recorded 2 versions of this file, between Jun 30, 2026 and Sep 15, 2026, about one every 76 days.

versioncommittedcommitsizeaudit
git:20260915.99e5da5 latest2026-09-15 99e5da5 13,280 BA view · diff
git:20260630.a6aacc02026-06-30 a6aacc0 13,387 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (13280 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
  • pass: No script tag

Source

GitHub

fuzheado/wikipedia-ai-skills · 27 stars · license MIT · pushed 2026-11-03 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_omknrkdl6pfpd656
GET https://markdownregistry.com/api/v1/resolve?ref=fuzheado/wikipedia-ai-skills/wikimedia-petscan
GET https://markdownregistry.com/api/v1/blob/d3e7906aa7fe2907ceb185f62e230873bbcf943f782115c747fbff55d14c6889

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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