rad-security

rad-security / goal-blueprints

Public

Reusable /goal blueprints for security engineers using Codex, Claude Code, and agentic coding tools.

10
1
100% credibility
Found May 19, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
AI Summary

Goal Blueprints is a library of ready-made templates that help security engineers conduct thorough, systematic reviews of software products using AI coding assistants. Instead of starting from scratch each time, engineers pick a pre-built checklist for their specific security question—whether that's checking access controls, preparing for a launch, testing AI features, or auditing cloud infrastructure. The blueprints guide the AI through a structured review process: mapping the system, testing assumptions, gathering evidence, and producing a report with findings and recommendations. It's designed for teams that want consistent, repeatable security reviews without building the process from the ground up every time.

How It Works

1
🔍 You discover you need a security review

Your team is launching a new feature and you want to make sure it's safe before going live.

2
📋 You find the blueprint library

Someone shares this collection of ready-made review templates for security engineers.

3
You pick the right blueprint for your question
🔐
Checking who can access what

Use the access boundaries blueprints to verify permissions work correctly.

🚀
Preparing to launch safely

Use the launch readiness blueprint to decide if your feature is safe to ship.

🤖
Testing AI features for hidden risks

Use the AI security blueprint to check for prompt injection and data leakage.

☁️
Reviewing cloud setup

Use the cloud runtime blueprint to check for exposed resources or misconfigurations.

4
✏️ You customize the template for your system

Fill in your project details, set boundaries for what the review can touch, and define when it should stop.

5
🤖 Your AI assistant runs the review

The AI works through your checklist automatically, testing and documenting as it goes.

6
📊 You review the findings and evidence

Check the report, look at the proof, and decide what needs fixing.

✅ You have a clear security picture

You know what's safe, what needs work, and can make informed decisions about your product.

Sign up to see the full architecture

5 more

Sign Up Free

Star Growth

See how this repo grew from 12 to 10 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is goal-blueprints?

It's a library of reusable prompts for security engineers using AI coding assistants like Claude Code and Codex CLI. The project defines a structured /goal format with sections for objectives, context, constraints, verification steps, and stop rules. Instead of asking an AI to do one-off security checks, you hand it a durable contract that validates its own work. Blueprints cover authentication audits, AI security evaluations, cloud exposure reviews, software supply chain hardening, and incident detection validation.

Why is it gaining traction?

Agentic AI tools can tackle complex multi-step tasks, but security work demands precision, sandboxing, and explicit boundaries. This project gives you a proven operating framework so AI assistants don't improvise in dangerous territory. The stop rules and verification loops force the AI to surface evidence rather than gloss over gaps. For teams adopting AI-assisted security work, it's a ready-made playbook instead of reinventing the wheel.

Who should use this?

Security engineers running product audits, AppSec teams preparing launch reviews, and platform teams validating cloud configurations. Also useful for red teamers replaying incidents or developers doing self-reviews before shipping. If you already use Claude Code or Codex CLI for anything beyond simple code generation, these blueprints add rigor to complex security tasks.

Verdict

With only 10 stars and no license selected, this is a nascent project from a low-visibility account. The concept is solid and the documentation is thorough, but it lacks community validation and production track record. The 1.0% credibility score reflects that reality. Worth watching and piloting on low-stakes reviews, but don't stake critical security work on it yet.

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.