DensityFletcher

DensityFletcher / b02-skills-main-security

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🔒 Security Engineering Skills — TDD and planning skills for security tooling, auth systems and compliance automation.

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100% credibility
Found May 02, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A collection of 8 skills and 3 workflows that guide AI tools in performing security engineering tasks like authentication planning, vulnerability management, and compliance automation.

How It Works

1
🔍 Discover Security Guides

You find a helpful collection of guides that teach your AI assistant how to plan secure software, like safe logins and data protection rules.

2
💾 Add to Your AI Helper

You save these guides right into your AI chat tool so it's equipped to help with security planning anytime.

3
💬 Pick a Security Task

You start chatting with your AI and choose a guide, such as building a secure login system or checking for weak spots.

4
⚡ Watch the Magic Unfold

Your AI confirms what you need, shows real-time progress bars, and builds a clear plan spotting dangers first.

5
📋 Get Your Action Plan

You receive a neat list of risks sorted by how serious they are, with quick fixes and bigger strategies to follow.

🛡️ Secure and Confident

Your software is now protected against threats, ready for checks, and you feel in control of security.

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AI-Generated Review

What is b02-skills-main-security?

This repo delivers eight specialized skills and three workflows for Claude AI, tailored to security engineering like TDD for auth systems, vulnerability triage from GitHub security advisories, and compliance automation. It solves the chaos of security planning by turning audits, threat models, and GDPR/SOC2 gaps into prioritized GitHub issues with live progress tracking and structured outputs. Think Security Engineering by Ross Anderson meets practical TDD—copy to your Claude skills dir, invoke via slash commands like /auth-tdd or security-sprint, and get developer-ready plans without starting from scratch.

Why is it gaining traction?

It stands out by adapting real TDD cycles to security pitfalls, like writing attack tests before auth code or breaking CVEs into GitHub security scanning labels via CVSS. Developers hook on the consistent five-step flow: scope, progress bars, impact-sorted tables, action plans, and next steps—far snappier than generic GitHub security policy templates or manual threat grilling. No fluff, just outputs that plug straight into GitHub Actions for vuln management or zero-trust refactors.

Who should use this?

Security engineers hardening auth or migrating to zero-trust, backend devs triaging GitHub security md advisories into issues, and compliance leads automating SOC2 evidence via policy-as-code TDD. Ideal for teams doing security sprints, auth rebuilds, or vuln-to-issues flows without deep expertise in Security Engineering third edition tactics.

Verdict

Early alpha with 11 stars and 1.0% credibility—docs are solid README-only, no tests or broad adoption yet, so experiment in a sandbox before production. Worth a spin if you're in security GitHub projects and want AI-assisted structure over blank-page syndrome.

(187 words)

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