User:Bythmusters

clippy's strongest soldier o7

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Archive everything	Cargo-complete
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RecentChanges	Todo categories
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WantedPages	Uncategorized pages
FewestRevisions	Pages w/ most categories
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Redirect cleanup: Double redirects, broken redirects

It's 2026, who isn't using https-only? Turn http links to https

Search queries are a good way to find articles that have starter text or broken elements: Pages containing [Incident]

Also template search, pages with: InfoboxCompany InfoboxProductLine (mostly gone)

Scroll through every page at once by namespace: Special:AllPages

Finding articles without certain templates

As of 1/31/26, I am trying to find articles which are missing any of the four cargo templates. I have manually scraped the list of pages with certain templates copying lists from Special:WhatLinksHere and all pages in the main namespace (excluding redirects) from Special:AllPages into text documents. Using these lists, you can run a basic Python script and count how many lists each page is present in. Any page found in only 1 list must have no cargo templates, any page found in 2 lists has one cargo template, any pages with 3-5 lists has several cargo templates.

I am not an advanced programmer but here is my script:

# these files all generated 1/30/26 21 UTC
 # generate list of filepaths to be read
 filenames = ["allpages.txt", "company.txt", "incident.txt", "productline.txt", "product.txt"]
 pathprefix = "[your-path-here]"
 filepaths = [] 
 for x in filenames:
     filepaths.append(pathprefix + x)
 # print(filepaths)
 
 # read files line-by-line, sanitize lines, and count in dictionary
 match = " (transclusion) (← links | edit)"
 table = {} # String to Int: line, count
 for x in filepaths:
     with open(x, "r") as file: # auto closes file
         content = file.read()
         lines = content.split('\n')
         for line in lines:
             line = line.replace(match, "")
             # print(line)
             if line in table:
                 table[line] += 1
             else:
                 table[line] = 1
 # print(table)
 
 # read unsorted dict and sort into new dict with count as key
 sortedtable = {} # Int to List[String]: count, lines
 for pair in table.items():
     line = pair[0]
     count = pair[1]
 
     if count in sortedtable:
         sortedtable[count].append(line)
     else:
         sortedtable[count] = [line]
 
 print("#####Only in AllPages#####")
 for x in sortedtable[1]:
     print(x)

Then a list can be displayed or saved with Bash: python3 table.py | less