LLM Slop Detector

ID: ancpfnfeflffphhpaejhpggfhjmafeid

Extension Info & Metadata

Status
Active
Version
0.10.0
Size
0.05 MB
Rating
0.0/5
Reviews
0
Users
11
Type
Extension
Updated
Jun 4, 2026
Category
Tools
Price
Free
Featured
No
Visibility
Listed
Mature
No
By Google
No
Trusted
No

Publisher Contextual Analysis

Author
Mathias AView Profile
MX records exist
Yes
Domain exists
Yes
Is disposable
No
Is role-based
No
Mailbox exists
Yes
Total Extensions
1
Active
1
Obsolete
0
Listed
1
Unlisted
0
Total Users
11

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Flags invisible Unicode, AI-style punctuation, and telltale LLM phrases as you type -- or in any page you're reading. Local only.

LLM Slop Detector highlights the things that give AI-generated writing away: invisible Unicode smuggled inside text, em dashes and curly quotes that spell-checkers ignore, and phrases like "delve into", "tapestry of", "it's worth noting", or "game-changing" that appear far more often in LLM output than in human writing. It works in two ways: As you write - Scans every textarea, text input, and contenteditable on any webpage. - Inline wavy underlines mark flagged words and phrases. A floating badge shows the count. Click it for per-finding explanations. - One-click fixes for deterministic characters (em dash -> hyphen, curly quotes -> straight, zero-width spaces -> deleted). The fix goes through the host editor's native undo stack, so Cmd+Z works. - Tested in Gmail compose, Proton Mail compose, GitHub issue forms, Reddit, Substack, and anything else built on plain contenteditable. As you read - Click the "Scan this page" button in the toolbar popup to highlight slop in any article, blog post, or thread you're reading. Wavy underlines go under flagged words; a floating results panel lists every finding and jumps you to it on click. - One-shot, click-to-scan only. No background scanning. Rules are configurable - ~40 built-in core rules plus eleven opt-in packs covering academic writing, general LLM cliches, fiction tells, Claude-specific mannerisms, structural patterns ("not X but Y"), invisible-Unicode security threats, and model-specific tells for Gemini, DeepSeek, Llama, Qwen, and Grok -- 500+ curated regex patterns in total. - Enable only the packs you care about. Per-site disable in one click. Privacy - Nothing you type, read, or scan is ever transmitted, logged, or persisted. All scanning runs locally inside the extension's sandboxed JS. - No telemetry, no analytics, no remote rule updates. The rules are bundled at build time and ship with each extension release. - Storage is chrome.storage.local only; your settings don't leave this device. - No "cloud assist" toggle. Never has been. Never will be. Open source (MIT) at github.com/mandakan/llm-slop-detector. Also available as a VS Code extension, an npm CLI, and a web playground for paste-and-check. Same rule engine across all of them.

Extracted Data

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URLs
2
IPv4
0
IPv6
0

URLs

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github.com/mandakan/llm-slop-detectorhttps://github.com/mandakan/llm-slop-detector
github.com/mandakan/llm-slop-detector/blob/main/THIRD_PARTY_NOTICES.mdhttps://github.com/mandakan/llm-slop-detector/blob/main/THIRD_PARTY_NOTICES.md

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No IP addresses found

Version History

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Code Diff

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