Skill UI

A comprehensive playbook for digital forensic experts. It details systematic techniques and tools for detecting and extracting hidden data embedded across various media types, including images (LSB, PNG chunks, JPEG DCT, EXIF metadata), audio (spectrogram, DTMF), and files (polyglots, appended data). Essential for deep-dive forensic investigations.

This comprehensive checklist guides researchers through the detailed formatting and technical requirements for submitting manuscripts to the Econometric Theory journal via ScholarOne/Manuscript Central. It covers critical points such as creating a single embedded-font PDF, adhering to APA author-date referencing, maintaining single-anonymous identity, and managing the article length ceiling (50 pages). Use this before final submission to avoid common rejection reasons.

This specialized skill is designed for advanced reverse engineering of firmware images in CTF environments. It guides users to map partition tables, trace complex boot chains (bootloader, kernel, init), analyze update packages, and recover embedded secrets or credentials. Use it when understanding the device's core architecture and execution path is necessary to find the decisive artifact.

This skill decodes complex pipe-delimited HL7 v2.x messages (including ADT, ORU, MDM) into structured segments and fields. It is essential for ingesting HL7 feeds from interface engines, allowing users to surface embedded clinical narratives (OBX-5 and NTE-3) for subsequent Natural Language Processing (NLP) analysis. It also provides segment-aware de-identification capabilities to redact PHI while preserving the native HL7 message structure.