max / Torn City Burglary Crime Helper
Install steps: Install a userscript manager, select Install, then open a website matched by the script.
Source and freshness
The following figures come from the original source and are separate from activity on this site.
Original script: Torn City Burglary Crime Helper
Source version: 0.7.18
Last source check:
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Torn City Burglary Crime Helper/Merit Tracker/Unique Tracker
0.1.78 UPDATE NOTES:
- UI Updates
- Added Crime Profit Data
- Added Merit Tracking/Guide
- Added Unique Tracking/Guide
A lightweight Burglary helper for Torn that highlights the most useful Scout, Case, and Burgle choices directly on the crime page.
It uses your current Burglary Crime Skill internally, along with live target Confidence, safety status, visible target comparisons, and consolidated community casing data to help make Burglary decisions easier to understand.
Scout Colors
🟢 Safe
🟡 Risky
🔴 Avoid
Action Colors
🟢 Best Option
🟡 Risky
⚪ Not Needed
🔴 Avoid
The helper can:
Highlight the most nerve-efficient scouting option
Show the best specific property choices
Compare multiple visible burglary targets
React automatically as Confidence changes
Recognize states such as All Clear and Too Dangerous
Prioritize a ready Burgle before recommending that you start casing another property
Adjust recommendations as your Burglary Crime Skill increases
Public Beta Note
Torn PDA has been tested thoroughly but not the desktop version so please let me know if there's any issues with either one.
Low-skill Residential Burglary has received the most live testing so far. Commercial and Industrial recommendations are based on community research, consolidated casing data, and conservative Crime Skill adjustments, but will continue to be refined as more real-world data becomes available.
Sources / Research
Torn Burglary Community Guide
https://www.torn.com/forums.php#/p=threads&f=61&t=16353303&b=0&a=0
Torn Wiki — Burglary
https://wiki.torn.com/wiki/Burglary
Burglary Consolidated Community Sheet
https://docs.google.com/spreadsheets/d/e/2PACX-1vRAHkfnG4oFUhLM8RByNXI1POUw56FJ7WEqRnVyCvDNSmd24z1eCRIdgFQIRL0CCiOsqvZd_BubHfW6/pubhtml
Author: CowBoyCookie
License: MIT
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