Home / sam6dvpte34 / social-media-skill · skills/twitch-category-ranking-scraper/SKILL.md · GitHub

twitch-category-ranking-scraper skillA

twitch-category-ranking-scraper is agent-read markdown (skill) from sam6dvpte34/social-media-skill: Collect category rankings from Twitch — top channels, viewers, category. Use when the user wants to track category leaderboards and top performers..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Twitch Category Ranking Scraper

Use this Skill for Twitch category ranking collection, research, monitoring, analysis, and export.

This Skill uses the [BrowserAct](https://www.browseract.com/?co-from=social-media) CLI to access real browser pages and execute tasks.

## Common Use Cases

- Collect category rankings, live channels, viewers, languages, and tags
- Research and compare category ranking across selected Twitch targets
- Monitor visible activity, changes, and engagement signals over repeated collections
- Export structured, source-linked category ranking records for analysis or operations

## Common Data

Depending on what is visible and authorized, relevant fields can include:

- Trend, keyword, topic, content title, category, and visible position
- Creator or account, source URL, region, language, and discovery context
- Visible views, likes, comments, shares, score, velocity, or change signals
- Ranking timestamp, comparison window, related labels, and source reference

## Instructions

1. Identify the target Twitch trend, ranking, category, region, keyword, or discovery page.
…

Read the whole file at its exact version.

How to install

Latest version
mdr add sam6dvpte34/social-media-skill/twitch-category-ranking-scraper@v0.1.0
Exact content
mdr add sam6dvpte34/social-media-skill/twitch-category-ranking-scraper@sha256:531bbf3302486766

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_x5cpz6qsvgcatwly.svg)](https://markdownregistry.com/a/art_x5cpz6qsvgcatwly)

1 badge views in 30 days

Versions

versioncommittedcommitsizeaudit
v0.1.0 latest2026-09-15 640bc1e 3,631 BA view · diff
v0.1.02026-07-15 ad57dce 3,636 BA view · diff
v0.1.02026-07-15 63eb026 3,630 BA view · diff
v0.1.02026-07-15 061a653 3,741 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, 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 (3631 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

sam6dvpte34/social-media-skill · 5 stars · license none · pushed 2026-09-15 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_x5cpz6qsvgcatwly
GET https://markdownregistry.com/api/v1/resolve?ref=sam6dvpte34/social-media-skill/twitch-category-ranking-scraper
GET https://markdownregistry.com/api/v1/blob/531bbf3302486766dea449bc7ac8a730eeba545ee8e94129f4209d2fe0c5f449

Your agent 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.

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