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    ai-smell-detector

    by Roy Yuen

    Identify robotic prose and AI-generated patterns with a 0-5 diagnostic score and structured linguistic analysis.

    Updated Apr 2026
    0 installs

    Free

    One-time purchase · Own forever

    ⚡ Also available via Agensi MCP — your AI agent can load this skill on demand via MCP. Learn more →

    Included in download

    • Downloadable skill package
    • 1 permission declared
    • Instant install

    See it in action

    Score: 4/5 (Heavy AI Smell)
Signals:
- Symmetrical bullet points (all 3 lines start with 'Enhance...')
- Abstract noun stacking ('utilization of optimization strategies')
- Generic intro/outro

Recommendation: High risk of detection. Full rewrite or pass through humanize-writing skill.

    About This Skill

    What it does

    The AI Smell Detector is a specialized diagnostic utility for developers and content managers who need to objectively evaluate text for "robotic" or machine-generated characteristics. It moves beyond simple binary detection to provide a nuanced 0-5 scoring system, identifying the specific linguistic markers—such as abstract noun stacking, excessive hedging, and symmetrical paragraph structures—that trigger AI detection filters.

    Why use this skill

    Simply prompting an LLM to "check for AI" often results in hallucinatory false positives or vague feedback. This skill uses a rigorous rubric to separate style issues from meaning issues, providing a technical triage of a draft before you commit resources to a rewrite. It identifies precise "smells" like generic openings and repetitive paraphrasing, allowing for targeted human intervention rather than blind guessing.

    Supported workflows

    • Pre-publication Triage: Automatically score drafts to decide if they need a manual polish or an automated humanization pass.
    • Content Quality Assurance: Audit large batches of copy to ensure a consistent, natural brand voice.
    • Source Analysis: Determine if external submissions or research summaries are original or machine-spun.

    The output is a structured diagnostic report featuring a severity score, a list of strongest signals, and a strategic recommendation for remediation.

    📖 Learn more: Best Testing & QA Skills for Claude Code →

    Use Cases

    • Audit content drafts for machine-generated patterns and robotic symmetry.
    • Triage text to decide if it needs a light edit or a total rewrite.
    • Detect overused LLM tropes like excessive hedging and repetitive paraphrasing.
    • Score the "naturalness" of marketing copy on a structured 0-5 scale.

    Reviews

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    Security Scanned

    Passed automated security review

    Permissions

    Terminal / Shell

    File Scopes

    ai-smell-detector/**

    Tags

    content-analysis
    editing
    writing-tools
    quality-assurance

    Creator

    Roy Yuen

    Frequently Asked Questions

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