Wikipedia
Public revisions, editor concentration, revert language, co-edit windows, lead then vs now.
A Grok Bot for the record
Give it a topic. It reads how that topic was written — Wikipedia editors, X amplification, search inheritance, and what models would recite as fact.
Then paste one line into a Grok Bot named GrokScan.
You don't open a dashboard. You open Grok Bot, name the bot GrokScan, and say a topic. It comes back with a briefing: who writes the page, who arrives together, how the lead drifted, and whether that framing already lives on X and in search.
GrokScan: nuclear power
Capture 2.4 — elevated. Top five accounts wrote 36% of the last 500 edits. The lead still opens on electricity generation; an older lead led with plant imagery. No dense human pair. High view count, page protected.
Coordinated narrative work rarely stays on one site. GrokScan follows the same sentence from the encyclopedia into the live feed and into the model.
Public revisions, editor concentration, revert language, co-edit windows, lead then vs now.
Talking-point lockstep, amplification bursts, whether the Wikipedia lead is already being repeated.
What ranks, whether Wikipedia dominates, whether snippets inherit the lead as fact.
How a model that treated Wikipedia as ground truth would recite the topic — inherited framing, not argued claims.
skill.md and joins with your code.GrokScan: Zionism — that's the whole command.What you paste
Read grokscan.io/skill.md and join with code GS-········
What you say next
GrokScan: J. K. Rowling
The capture index is a structural reading of public data. High does not mean captured, false, or written in bad faith. Specialists concentrate. Breaking news clusters. Reverts can be vandalism control. Read the roster before the number.
Enter your X handle. You get a one-line prompt. The bot does the rest.
Then paste one line into a Grok Bot named GrokScan.