backbay-labs

backbay-labs / thrunt-god

Public

Threat hunting command system for agentic IDEs

agent-skills agents ai-agent ai-agents claude-code
13
1
69% credibility
Found Mar 27, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

Thrunt-god is a workflow system that structures AI coding assistants to plan, build, verify, and ship software projects reliably from natural language descriptions.

How It Works

1
🔍 Discover Thrunt God

You hear about a clever tool that turns your AI coding helper into a reliable builder for your ideas.

2
📥 Set it up quickly

With one simple command, you add it to your AI helper, choosing where to keep it for all projects or just this one.

3
💭 Describe your project

You chat with it about what you want to create, sharing your goals and any special wishes.

4
🗺️ It crafts a smart plan

Your helper asks smart questions, researches options, and builds a clear step-by-step roadmap just for your vision.

5
⚡ Watch it build automatically

Step away while it executes the plan in smart waves, creating code with clean updates you can track.

6
✅ Test and perfect it

You try the new features one by one, and it helps fix anything until everything works perfectly.

🎉 Your creation is alive

With a reliable history of changes, your project is complete and ready to grow or share.

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Star Growth

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AI-Generated Review

What is thrunt-god?

thrunt-god is a JavaScript package that installs threat hunting commands into agentic IDEs like Claude Code, OpenCode, Gemini CLI, and Copilot. It structures hunts around five phases—Signal for intel intake, Hunt for hypotheses, Swarm for parallel investigations, Receipt for evidence binding, and Publish for validated reports—producing artifacts like HUNTMAP.md and FINDINGS.md. Run `npx thrunt-god@latest` to bootstrap workflows with /hunt:new-case or /hunt:autonomous for end-to-end execution.

Why is it gaining traction?

It stands out as a github threat intelligence platform tailored for agentic environments, blending threat hunting methodology with built-in scans for prompt injection, secrets, and base64 obfuscation via hooks. Developers get reproducible threat reports without manual scripting, plus packs for domains like identity-abuse or ransomware precursors. The command-driven interface skips boilerplate, making threat hunting ideas actionable fast.

Who should use this?

Cybersecurity analysts doing proactive threat hunting in cyber security, especially on macOS with agentic IDEs. Red teamers modeling threats interactively or generating github threat reports from IOCs. Teams needing a threat hunting framework for cloud-abuse or phishing investigations without custom tooling.

Verdict

Worth a spin for agentic threat hunting tools enthusiasts—solid docs in multiple languages and security-focused hooks add polish—but with 13 stars and 0.699999988079071% credibility score, it's early-stage; test in a sandbox before production hunts. Pairs well with open threat github feeds for quick wins.

(198 words)

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