{
  "markdown": "# linkedin-scam-detector\n\nVerify recruiter messages and job offers before responding to recruitment scams.\n\n## Overview\n\nThe **LinkedIn-Scam-Detector** is a Claude skill that automates verification of recruiter communications. Modern recruitment scams are sophisticated—they clone legitimate profiles, use official-looking email addresses, and exploit your career history to build false trust. This skill helps identify suspicious communications through automated investigation.\n\n## How It Works\n\nWhen you ask Claude to verify a recruiter message, the skill performs the following checks:\n\n1. **Pattern Analysis:** Scans for phishing indicators such as artificial urgency, vague job descriptions, and suspicious attachments.\n2. **Domain Verification:** Cross-references the sender's email domain against known corporate formats and verifies whether the address format is legitimate.\n3. **LinkedIn Profile Assessment:** Examines the sender's LinkedIn profile for red flags such as new accounts, low engagement, or inconsistent tenure.\n4. **Job Role Validation:** Checks the company's official careers page and LinkedIn Jobs to confirm whether the advertised position exists.\n5. **Official Contact Verification:** Retrieves the company's verified contact information so you can independently confirm the opportunity through official channels.\n\n## Usage\n\nAsk Claude to verify a recruiter message:\n\n- \"Is this recruiter email legit?\"\n- \"Check this job offer for me\"\n- \"Is this a scam?\"\n- \"Verify this recruiter from Amazon\"\n\n## Requirements\n\n- [Claude Code](https://claude.ai/code) CLI installed and running\n- [Claude for Chrome extension](https://chromewebstore.google.com/detail/claude-in-chrome/) installed in your Chrome browser\n- Active LinkedIn account for profile verification checks\n\n## Installation\n\n1. Ensure you have Claude Code and the Claude for Chrome extension installed\n2. Clone the repository:\n\n   ```bash\n   git clone https://github.com/yourusername/linkedin-scam-detector.git\n   ```\n\n3. Follow the skill installation instructions in the Claude Code documentation\n\n## Why This Matters\n\nModern recruiter scams are increasingly sophisticated:\n\n- Clone real recruiter names and profile photos from LinkedIn\n- Use official-looking Gmail addresses (e.g., `recruiter.google@gmail.com`)\n- Reference your actual career history to build false trust\n- Spoof legitimate corporate phone numbers\n\nThis skill helps you verify claims against primary sources—the company's official domain, LinkedIn profiles, and careers pages—before you respond.\n\n## Notes\n\n- No tool is a substitute for careful verification. Always independently confirm opportunities through official company channels.\n- Report confirmed scams to LinkedIn and the FTC (see links below).\n- The skill respects your privacy and only accesses information you explicitly share with it.\n\n## Contributing\n\nContributions are welcome! To contribute, open a pull request or issue on GitHub.\n\n**Ways to contribute:**\n\n- Report new scam patterns or red flags\n- Add support for additional email providers\n- Improve detection accuracy with real scam examples (anonymized, no personal information)\n- File bug reports for issues encountered\n\n## Resources\n\n- **Report to LinkedIn:** <https://linkedin.com/help/linkedin/answer/a1442749>\n- **Report to FTC:** <https://reportfraud.ftc.gov>\n",
  "bytes": 3337,
  "sha": "1ee89f2d18f12bfefd483b124974a1f1617de28ec66609b5c4ee441b767dec38",
  "repo_slug": "oopsyz/linkedin-scam-detector",
  "fonte": "repo",
  "truncated": false,
  "api": "https://agentalog.com/api/listings/plg_oopsyz_linkedin_scam_detector_linkedin_s_9f0bddf2/readme"
}