Linkedin Ai Detector

D 52 completed
Browser Extension
unknown / javascript · tiny
28
Files
2,088
LOC
0
Frameworks
4
Languages

Pipeline State

completed
Run ID
#367212
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
28.16
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47458
Member of a group with 1 similar repo(s) — canonical #87678 view group →
Top concepts (2)
Project DescriptionLibrary
All rows scored by the Repobility analyzer (https://repobility.com)

AI Prompt

Create a Chrome extension called a LinkedIn AI Detector. It needs to inject into the LinkedIn feed and analyze every post as the user scrolls. The core feature should be displaying a colored confidence badge (Green, Amber, or Red) on each post indicating the likelihood of AI generation. The extension must support a local heuristic engine that analyzes signals like Burstiness, Abstraction, and Generic Phrases, and also allow switching to LLM-powered detection using API keys for Claude, OpenAI, or Gemini. Include a settings popup where users can toggle the extension, select the detection engine, adjust a sensitivity slider, and input API keys.
javascript chrome-extension web-scraper ai-detection linkedin heuristic-engine llm popup
Generated by gemma4:latest

Catalog Information

Detects AI-generated content on LinkedIn posts and displays a confidence badge for each post.

Description

This browser extension scans LinkedIn posts in real time and assigns a color‑coded badge indicating the likelihood that the content was produced by an AI. It uses a lightweight local heuristic engine that evaluates sentence length, buzzword density, and other linguistic signals, or it can connect to popular LLM APIs for deeper analysis. Users can adjust sensitivity, switch between engines, and view a detailed breakdown by clicking the badge. The extension operates entirely within the browser, keeping all data local unless an API key is provided. It is designed for professionals who want to quickly assess content authenticity while browsing their feed.

الوصف

يعمل هذا الامتداد على فحص منشورات لينكد إن في الوقت الفعلي ويمنح كل منشور شارة ملونة تُظهر احتمال أن يكون المحتوى منشئًا بواسطة الذكاء الاصطناعي. يستخدم محركًا محليًا خفيفًا يستند إلى مجموعة من الإشارات اللغوية مثل طول الجمل وكثافة الكلمات الدلالية، أو يمكنه الاتصال بخدمات LLM الشهيرة لإجراء تحليل أعمق. يتيح للمستخدم ضبط حساسية الكشف وتبديل بين المحركات، كما يمكنه الاطلاع على تحليل مفصل بالنقر على الشارة. يعمل الامتداد بالكامل داخل المتصفح، مما يضمن بقاء جميع البيانات محليًا ما لم يُدخل مفتاح API. يهدف إلى مساعدة المحترفين على تقييم صحة المحتوى بسرعة أثناء تصفحهم للملف الشخصي.

Novelty

7/10

Tags

ai-content-detection linkedin-feed-analysis heuristic-scoring privacy‑first user-interface-badges content-authenticity browser-automation

Technologies

playwright

Claude Models

claude-opus-4.6

Quality Score

D
52.4/100
Structure
40
Code Quality
79
Documentation
44
Testing
0
Practices
64
Security
84
Dependencies
50

Strengths

  • Good security practices \u2014 no major issues detected

Weaknesses

  • No LICENSE file \u2014 legal ambiguity for contributors
  • No tests found \u2014 high risk of regressions
  • No CI/CD configuration \u2014 manual testing and deployment
  • 150 duplicate lines detected \u2014 consider DRY refactoring

Recommendations

  • Add a test suite \u2014 start with critical path integration tests
  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a linter configuration to enforce code style consistency
  • Add a LICENSE file (MIT recommended for open source)

Security & Health

5.6h
Tech Debt (D)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (6)
Citation: Repobility (2026). State of AI-Generated Code. https://repobility.com/research/
Unknown
License
1.5%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

javascript
78.4%
html
12.4%
json
6.2%
markdown
3.1%

Frameworks

None detected

Concepts (2)

Analysis by Repobility (https://repobility.com) · MCP-ready
CategoryNameDescriptionConfidence
Repobility (the analyzer behind this table) · https://repobility.com
auto_descriptionProject DescriptionA Chrome extension that detects AI-generated content on LinkedIn. Each post gets a score badge showing how likely it was written by AI.80%
auto_categoryLibrarylibrary70%

Quality Timeline

1 quality score recorded.

View File Metrics

Embed Badge

Add to your README:

![Quality](https://repos.aljefra.com/badge/91402.svg)
Quality BadgeSecurity Badge
Export Quality CSVDownload SBOMExport Findings CSV