The exact 3 prompts that made a free AI agent catch 13 out of 13 planted vulnerabilities — plus the checklist and printable scorecard to run the same scan on your own app before you ship

The companion to the video. Attackers already use AI — this pack puts the same scanning power on your side of the deploy button. INSIDE (7 pages): THE 3 SCAN PROMPTS — copy-paste verbatim, one per layer: CODE (application source + git history for committed secrets, report-only, never prints a secret's value), DEPENDENCIES (known CVEs plus the reachability question — which vulnerable packages your code actually calls versus merely declares, and the imported-but-undeclared trap), CLOUD (Terraform/IaC misconfigurations, with the manual-review clause for over-permissive IAM and anything public-facing that scanners miss) · HOW TO RUN IT — install OpenWorker (free, open-source), pick a security coworker, pick your model, point it at your repo · THE VULNERABILITY CHECKLIST — 19 classes across code, dependencies, and cloud, so you can ask about anything your report never mentions by name · THE PRINTABLE SCAN SCORECARD — issues found / confirmed real / fixed before deploy, per layer, per release · WHICH MODEL TO USE — fully local Ollama ($0, sensitive code never leaves your laptop), your ChatGPT plan (no extra key), or any API model · THE ONE RULE — never let a scanner's silence mean 'clean'; the two worst issues in my test were the ones the automated scanner missed. My result: 13 planted, 13 found, 0 false alarms — on a free open-weight model. Independent kit from Hyperautomation Labs.

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