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Kill Clog

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Kill Clog is a HiScores overhaul that offers fast and easy visuals of collection log progress and account snapshots.

Kill Clog

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summaries

privacy and data

install-warning

Public player lookups read from TempleOSRS and RuneProfile. The install warning is about those external lookups. Kill Clog does not use killclog.com as a player-profile source or upload your clog data.

The EHB stat in the PvM summary uses EHB rates by TempleOSRS, bundled with the plugin and refreshed each release. No extra requests are made to compute it.

Source code is public at github.com/420kc/kill-clog-plugin and open to audit.

installation

  1. Install Kill Clog from the RuneLite Plugin Hub.
  2. Optional, but useful for public visibility: keep your TempleOSRS and/or RuneProfile data synced so other players can see your public clog.
  3. Sync local collection log: Open your collection log in-game and click the red chalice at the top, then chat messages will guide you to right click search your collection log and click back.

auto-sync

Once the first sync has built your local cache, collection-log chat messages keep new drops current during long sessions.

quick lookup

player-menu

chat commands

chat-kclog

chat-missing

!kclog [boss] shows your collected items.

Vorkath: 12/14 [item] [item] [item] ...

!missing [boss] shows unobtained items.

Vorkath: 2/14 missing [item] [item]

!3a

!gilded

configuration

config

  • Auto-Lookup on Login
  • Player Menu Lookup
  • Menu Locations
  • Tooltip Activation (Hover, Click)
  • Cell Hover (Outline, Tint, None)
  • Progress Highlighter (full color customization)
  • Kill Clog chat message toggles

local cache

Local cache keeps repeat searches fast (5 min TTL). Clear by deleting ~/.runelite/kill-clog/.


Questions or feedback? Open an issue on GitHub.

About

HiScores Overhaul for RuneLite featuring seamless integration of externally-tracked collection log data. Enables faster, easier collection log access, side-by-side player comparisons, and highly intuitive social collection log visualization

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