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Attack Pattern Library Builder
Transform CTI reports into structured attack pattern libraries mapped to MITRE ATT&CK for threat-informed defense.
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See it in action
You say
Analyze this report excerpt: 'Actor used encoded PowerShell commands to download the stage-2 dropper.' Map it to ATT&CK and provide detection engineering inputs.
Your agent does
T1059.001 - PowerShell Confidence: High Evidence: "Actor used encoded PowerShell commands to download the stage-2 dropper." Detection Input: Monitor Process_Creation events where parent is cmd.exe and command_line contains '-enc'. Data Source: Process Command Line, Script Block Logging.
What you get
About this skill
Transform Threat Intelligence into Actionable Defense
The Attack Pattern Library Builder is a specialized skill for security engineers and CTI analysts who need to bridge the gap between raw threat reports and defensive posture. It automates the tedious process of parsing cyber threat intelligence (CTI) to extract specific adversary behaviors, ensuring your defense remains threat-informed and evidence-based.
What it does
- Behavior Extraction: Pulls evidenced procedures from incident reports, advisories, and malware write-ups.
- ATT&CK Mapping: Maps behaviors to specific MITRE ATT&CK techniques with high-fidelity source provenance.
- STIX Structuring: Generates STIX 2.1-inspired attack pattern records for use in TIPs or internal databases.
- Detection Engineering: Translates attacker TTPs into telemetry requirements and detection opportunities.
Why use this skill?
While generic AI might summarize a report, this skill follows strict defensive quality gates. It refuses to "invent" mappings, ensures every technique is tied to a source sentence, and separates tools from procedures. It prevents "hallucinated" security coverage by requiring specific evidence before marking a technique as detected. The result is a professional-grade library that is ready for ingestion into SIEMs, EDRs, or GRC platforms.
Supported Outputs
Produces structured JSON (STIX-style), markdown tables, detection backlogs, and Navigator-compatible layers.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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