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v0.1.1

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@github-actions github-actions released this 20 Aug 12:35
v0.1.1
7567537
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Learn about vigilant mode.

0.1.1 (2026-08-20)

Bug Fixes

  • accessibility: keep highlights readable in dark mode (5828d0c)
Assets 7
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LinkedIn Slop Detector v0.1.0

LinkedIn Slop Detector v0.1.0

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@Pragith Pragith released this 20 Aug 12:02
v0.1.0
ab4a6f4

LinkedIn Slop Detector v0.1.0 is the first public release of Pragith Prakash's privacy-first LinkedIn feed filter.

It detects transparent, configurable writing patterns rather than claiming to determine AI authorship. Detection runs entirely inside the browser: no post text leaves the device, and there is no telemetry or external detection service.

Highlights

  • Google Chrome, Mozilla Firefox, Microsoft Edge, and Brave support using Manifest V3.
  • 61 built-in rule families covering contrast templates, canned hooks, faux insights, inflated language, vocabulary clusters, and structural repetition.
  • Exact phrase highlighting, post outlines, score badges, detailed pattern breakdowns, dimming, collapsing, and hiding.
  • Full controls for built-in rules plus CRUD support for custom regular-expression rules.
  • Versioned local storage with import, export, migrations, and immediate synchronization across open LinkedIn tabs.
  • Resilient handling for LinkedIn's dynamic feed, infinite scrolling, expanded posts, and recycled feed nodes.
  • Dedicated popup and full-page settings interface.

Downloads

Download the archive matching your browser below. The Brave archive intentionally uses the same Chromium build as Chrome but is published separately for clarity.

Each archive was built from the tagged source. Verify downloads with SHA256SUMS.txt.

Privacy

All scanning and scoring happen locally. The extension has no analytics, telemetry, tracking pixels, remote rules, or LLM/API calls.

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