Prompt Robustness Evaluation Pack — XELANTA Edition

🚀 What this pack does

This pack gives you a simple and practical way to test LLM robustness, catch prompt leaks early, and document issues clearly — without needing a security team or complex tools.

Run quick checks, evaluate real scenarios, assign severity levels, and apply actionable mitigations in less than 60 minutes.

Built for founders, indie builders, agencies and small engineering teams shipping AI features fast.

📦 What's inside the pack

Everything you need to evaluate LLM robustness at a practical level:

• QuickScan Checklist (PDF) — fast pre-flight checks
• 5 Robustness Scenarios (Markdown) — safe, abstract tests for role consistency, clarity, adherence, stability and boundaries
• Logging Template (DOCX) — clean documentation of outputs, observations and severity
• Risk Grading Sheet (XLSX) — simple Low/Medium/High scoring
• Mitigation Guide (PDF) — practical techniques to improve model behavior
• Bonus Safety Lines (TXT) — additional neutral edge-case probes
• README — clear instructions, under 60 minutes end-to-end

🧩 What you can do with it

• Catch prompt leaks before users see them
• Identify ambiguous behavior and model drift
• Evaluate multi-step consistency
• Document issues clearly for internal or client work
• Improve reliability with simple, safe mitigations
• Standardize internal QA for LLM-based features

👥 Who this is for

• Solo founders & indie builders
• AI freelancers & agencies
• Product & engineering teams
• Consultants delivering LLM-based features

If your workflow involves asking “Is this stable enough to ship?”, this pack is for you.

🛡️ Safety-first design

The pack is 100% defensive.
It does NOT include exploit payloads, jailbreak instructions or anything unsafe.
All scenarios are abstract, model-agnostic and provider-friendly.

🔐 Licensing

Your purchase includes:

✔ Unlimited internal team use
✔ Use in client projects and consulting work
✘ Not allowed: reselling the pack as a standalone product

💬 Support

If you need help using the pack or want guidance on the scenarios, feel free to reach out.