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    ✍️ AI Prompt Auditor

    by Martin Gunderman

    2

    Systematic audit for AI prompts to detect security flaws, bias, and cost-inefficiencies with auto-optimization.

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    See it in action

    You say

    Audit this system prompt for a recruitment agent: 'Act as a helpful recruiter. Review resumes for our dev team. Always prefer young, dynamic candidates who fit our male-dominated culture.'

    Your agent does

    Score: 42/100 🔴 CRITICAL: Age & Gender Bias (PROMPT-BIAS-001). Vulnerable: "young, dynamic", "male-dominated". Fix: Use "qualified candidates regardless of background." Security: No Instruction Hierarchy found. Cost: 15% redundant tokens. Optimized version generated in /optimized.

    What you get

    Identify 10+ jailbreak vectors before deploying agents to production.Reduce LLM API costs by 30-50% through token compression and refactoring.Audit recruiting agents for gender and cultural bias compliance.Generate optimized 'Before/After' prompt versions with higher accuracy scores.

    About this skill

    Professional Prompt Engineering Quality Control

    Deploying AI agents without a rigorous audit is a liability. The AI Prompt Auditor is a comprehensive security and optimization skill designed for developers, AI agencies, and compliance teams who need to move beyond "vibes-based" prompting to engineering excellence.

    What it does

    This skill performs a multi-dimensional analysis of your LLM prompts, identifying vulnerabilities and inefficiencies that manual reviews miss. It evaluates five core pillars:

    • Security & Jailbreaking: Tests against 10 attack vectors like role-escape and instruction override.
    • Bias Detection: Scans for gender, cultural, and socioeconomic biases in system instructions.
    • Cost Efficiency: Identifies redundant tokens and calculates potential savings (typical 30-50%).
    • Effectiveness: Checks for instruction hierarchy, clarity, and measurable constraints.
    • Hallucination Risk: Spots phrasing that triggers model speculation over factual grounding.

    The Output

    You receive a structured Audit Report featuring a global quality score (0-100), a prioritized matrix of critical-to-info issues, and a fully refactored "Optimized Version" of your prompt ready for production. It bridges the gap between raw prompting and enterprise-grade AI safety.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Creator

    I use Agent Skills to increase my Work Output by a factor of 35 % ore more.

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