Scan Webmatrices posts, comments, and profiles for AI tells and credibility issues.
npx skills add https://github.com/Bishwas-py/webmatrices-skills --skill smell
Please help me install this Agent Skill. Skill: smell Source: https://github.com/Bishwas-py/webmatrices-skills/tree/main/skills/smell Command: npx skills add https://github.com/Bishwas-py/webmatrices-skills --skill smell
Universal authenticity scanner for Webmatrices content. Scans posts, comments, user profiles, or raw text for AI tells, factual issues, quality problems, and cross-persona bleeding. Use when asked to audit content, check authenticity, detect AI writing, review engagement quality, or verify organic appearance.
Provide the content to scan (post, comment, or username) and run the smell analysis to generate an authenticity report.
High-intent search queries and answers about installing and using this skill.
To detect AI writing, you can scan posts, comments, and profiles for AI tells, factual accuracy flags, and credibility issues to generate an authenticity report. This process surfaces structural quality signals and voice inconsistencies.
Cross-persona bleeding occurs when a single account displays inconsistent traits across activity. You can check backstory consistency by scanning recent posts and comments against established persona traits to identify suspicious credibility gaps.
You can audit engagement quality by analyzing comment patterns and structural quality signals to flag suspicious activity. This review identifies AI voice tells and low-credibility interactions across user profiles.
The authenticity scanner works with both raw text and full user profiles. You can provide a post, comment, username, or raw text directly to run the analysis and generate actionable authenticity insights.
The best way to verify organic appearance is to scan content for voice consistency, factual accuracy flags, and AI tells. Enforcing checks for backstory coherence helps surface whether the engagement is genuinely human.
Bishwas-pyCoordinates persona-driven publishing workflows for Webmatrices via MCP and SuperMCP research.
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