tayontech

tayontech / SCOPE

Public

AI agent set for cloud security purple teaming, runs inside Claude Code, Gemini CLI, and Codex.

16
3
100% credibility
Found Mar 06, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

SCOPE is an AI toolkit that audits AWS cloud setups for security risks, maps attack paths, generates defensive policies and detection rules, and guides investigations, all viewable in an interactive dashboard.

How It Works

1
🔍 Discover SCOPE

You find SCOPE, a smart helper for checking and strengthening AWS cloud safety, on a code sharing site.

2
🛠️ Add to AI helper

You simply add it to your favorite AI coding companion like Claude or Gemini with a quick setup.

3
🔗 Link safe AWS view

You connect a read-only peek into your AWS cloud account so it can look but never change anything.

4
Pick your check
🏢
Full scan

Check your entire cloud setup for hidden dangers.

👤
Spot check

Focus on one user or role to see their powers.

🚨
Alert dive

Follow up on a security warning with guided steps.

5
✨ Run the discovery

You give the command, and it eagerly scans your cloud, mapping out risks and sneaky paths attackers could take.

6
📊 See the dashboard

You open a vibrant interactive map showing all findings, attack routes, and weak spots in easy-to-explore views.

7
🛡️ Create protections

It whips up custom security rules, alerts, and fixes tailored to block the exact risks it found.

🎉 Cloud fortified

Now you have a crystal-clear security map and ready defenses, making your AWS much safer from threats.

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Star Growth

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AI-Generated Review

What is SCOPE?

SCOPE delivers an AI agent set for AWS cloud security purple teaming, running slash commands like `/scope:audit` inside Claude Code, Gemini CLI, or Codex. It automates the full loop: auditing IAM, S3, Lambda, and more to map attack paths; generating exploit playbooks with CLI commands; creating SCPs, RCPs, and Splunk detections for defense; plus guiding SOC investigations via CloudTrail queries. Built in JavaScript, it outputs markdown reports, structured JSON, and an interactive dashboard for visualizing graphs and risks.

Why is it gaining traction?

Unlike static scanners, SCOPE's agents reason over API results, verify claims as guaranteed/conditional/speculative, and chain audits to defenses automatically. The dashboard shines with D3 attack graphs, severity filters, copyable SPL rules, and MITRE links—zero setup beyond `node bin/install.js --claude`. Devs dig the GitHub scope agent integration for Claude Code, turning AI chats into purple team workflows without custom scripts.

Who should use this?

AWS security engineers running purple team exercises, pentestors mapping privilege escalations, or SOC analysts triaging CloudTrail alerts in Splunk. Ideal for teams auditing multi-account setups with pre-loaded SCPs, needing playbooks for persistence/exfiltration without executing them.

Verdict

Worth forking for AWS pentests—solid docs and read-only safety make agent setup painless, but 1.0% credibility and 14 stars signal early maturity; test on a sandbox account first. (198 words)

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