1
    ✍️ AI Prompt Auditor

    ✍️ AI Prompt Auditor

    by Martin Gunderman

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

    Updated Jun 2026
    Security scanned
    Claude Code

    $7

    · or 35 credits

    30-day refund guarantee

    Secure checkout via Stripe

    Included in download

    • Identify 10+ jailbreak vectors before deploying agents to production.
    • Audit recruiting agents for gender and cultural bias compliance.
    • terminal automation included
    • Ready for Claude Code
    • Instant install

    Sample input

    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.'

    Sample output

    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.

    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.

    Use Cases

    • 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.

    Reviews

    No reviews yet - be the first to share your experience.

    Only users who have downloaded or purchased this skill can leave a review.

    Frequently Asked Questions

    More Premium Skills