Unlock safe, high-signal prompt workflows for ethical hacking & AI red‑teaming — modular, teachable, and demo-ready. 🔒✨
Overview • Highlights • Features • How to Use • Demos • Ethical Boundaries • License
An emoji-rich, markup-only guide to run your “Secret Prompt” lab — no CLI or git required.
Designed for clean teaching, quick demos, and ethical practice only.
🎯 Focus: help learners and researchers explore AI security mindset and document reproducible, defensible steps.
- 🎓 Purpose: Ethical, lab-focused prompt testing for AI systems
- 👨💻 Audience: Students, bug bounty hunters, trainers
- 🧩 Format: Pure README walkthrough — paste-and-test prompts, manual observation
- 🧭 Style: Modular sections, checklists, safe guardrails
- 💙 Credit: Content by CyberTechAjju — public demos and teaching materials
- 🧩 Modular prompt packs: recon, analysis, reporting
- 🛡️ Ethical guardrails and baseline refusals
- 📚 Teaching-first design: step-by-step demo flow
- 📝 Report-ready templates: logs, refusals, summaries
- 🌐 Zero tooling dependency: browser/manual steps only
- ✅ Set the scope — authorized lab or sandbox only
- 📥 Load the prompt pack — start with baseline safety prompts
- 🧪 Run manual tests — paste prompts, observe behaviors, capture outputs
- 📝 Document findings — refusals, edge-cases, reproducible steps
- 📢 Report responsibly — defense-oriented summaries, mitigations, and recommendations
Tip: Use simple headings in your notes like "Test case", "Prompt", "Model Response", "Risk", "Mitigation". This makes reports shareable and consistent. 🗂️
- Step 1 — Scope: Confirm authorization ✅
- Step 2 — Baseline: Load safety prompts 🛡️
- Step 3 — Test: Execute edge-cases 🧪
- Step 4 — Log: Keep detailed notes 📝
- Step 5 — Report: Defense & mitigation first 📢
- 🔒 Authorized environments ONLY — no live production testing without permission
- 🚫 No harm, no data leaks — focus on behaviour analysis and mitigation
- 📖 Educational reporting — share lessons and defense guidance, not exploitable payloads
- 🧾 When in doubt, err on the side of non-disclosure and get authorization
- 📌 Scope declared and documented
- 🛡️ Baseline safety prompts loaded
- 🧪 Test cases created and reproducible
- 📝 Logging enabled (timestamped)
- 🛠️ Mitigation notes prepared
- 💙 Credits preserved (CyberTechAjju)
- Author: Ajay (CyberTechAjju)
- Focus: Ethical hacking education, modular prompt workflows, reproducible documentation
- Community: Built to help learners and practitioners practice safe, authorized AI testing
- 🎓 Education & defense-oriented labs only
- 📢 Redistribution allowed with credits intact
⚠️ No warranty — use responsibly
Keep learning, keep hacking.