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MITRE ATT&CK AI agent skills

13
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100% credibility
Found May 12, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A curated collection of defensive resources, templates, and summaries for every technique in the MITRE ATT&CK framework across enterprise, mobile, and ICS domains.

How It Works

1
🔍 Discover the defense guide collection

You stumble upon a handy set of guides for defending against common cyber tricks, organized neatly by threat type.

2
📂 Browse the threat folders

You pick the folder for the type of threat you're facing, like enterprise attacks, and see all the specific tricks listed.

3
Generate a quick defense summary

Run a simple tool in one folder to instantly create a readable report with details on how attackers do it and how to fight back.

4
📖 Read ready-made tips and examples

Dive into the included notes on spotting signs, blocking it, and real-world cases to understand the threat deeply.

5
📝 Use templates for your plan

Fill in the provided outlines to make your own detection rules, hunting checklist, or response steps tailored to your setup.

Strengthen your defenses

Now you have clear actions to detect, hunt, and stop that threat, making your world safer from sneaky attacks.

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AI-Generated Review

What is mitre-attack-agent-skills?

This Python repo delivers 918 defensive "agent skills," one for each non-deprecated MITRE ATT&CK technique across Enterprise, Mobile, and ICS matrices, sourced from official mitre att&ck github STIX bundles. Run simple scripts to generate markdown briefs with technique descriptions, detection guidance, data sources, mitigations, and known adversary context—ideal for quick mitre att&ck mapping or att&ck navigator layers. It equips AI agents or security tools with structured intel for triage, hunting, and coverage assessments without any offensive payloads.

Why is it gaining traction?

Unlike raw mitre att&ck framework docs or PDFs, it bundles ready-to-render templates for hunt plans, incident notes, and detection briefs, slashing setup time for mitre att&ck evaluations. The agent-focused format plugs into LLM workflows or github mitre caldera plugins, enabling att&ck-aware automation that feels native. Low overhead Python scripts make it dead simple to output JSON schemas or MD for mitre github json/stix integrations.

Who should use this?

Threat hunters scripting mitre att&ck matrix queries, detection engineers gap-analyzing coverage via mitre att&ck for ics, or AI devs building att&ck-savvy agents for SOC triage. Perfect for red-blue teams running authorized validations or mapping logs to techniques.

Verdict

Early days at 13 stars and 1.0% credibility score—docs are solid via README counts and manifests, but lacks tests or examples. Worth forking for mitre att&ck® workflows if you're deep in the framework; skip if needing battle-tested scale.

(198 words)

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