Loading...
Loading...
Found 19 Skills
Guides digital forensics for security incidents—evidence acquisition and chain of custody, disk/memory/mobile/cloud artifact analysis, log and network forensics, timeline correlation, malware artifact triage, and investigation reports for legal/IR and expert-witness preparation outlines (not legal advice). Use when preserving and analyzing forensic artifacts, building super-timelines, documenting acquisition worksheets, triaging malware samples, or preparing forensic findings for counsel—not live incident command (incident-responder), SOC alert queue triage (soc-analyst), authorized penetration testing (penetration-tester), deep binary RE (reverse-engineer), LLM red team (ai-redteam), enterprise ISMS programs (information-security-engineer), audit control mapping (compliance-engineer), or cloud guardrail implementation (cloud-security-engineer).
Guides proactive threat hunting for advanced SOC—hypothesis-driven hunt campaigns, advanced SIEM/query workflows, baseline and anomaly analysis, MITRE ATT&CK–aligned techniques, threat intel fusion, detection engineering feedback, and hunt reporting with IR handoff. Use for threat hunting, proactive hunt, hypothesis-driven detection, advanced SOC, hunt campaign, detection engineering, MITRE ATT&CK hunt, anomaly hunting—not routine SOC alert triage (soc-analyst), declared incident command (incident-responder), adversary simulation campaigns (red-team-specialist), disk forensics acquisition (digital-forensics-analyst), authorized pentest (penetration-tester), or binary RE lab work (reverse-engineer).
Extract and interpret embedded file metadata with exiftool — EXIF GPS coordinates, camera make/model/serial, DateTimeOriginal and CreateDate timestamps, XMP and IPTC fields, and Office/PDF document properties like Author, Company, LastModifiedBy, template paths and revision counts. Use when reading EXIF from a photo, checking who wrote a document, dating a file, fingerprinting a camera or phone, or investigating file provenance in JPEG, HEIC, RAW, MP4, DOCX, XLSX and PDF files.
Extract and interpret embedded metadata from files. Use when analyzing EXIF/GPS data in photos, checking a document's author or software, reading camera model or timestamps, or investigating file provenance from images, PDFs, or Office docs.
Verify whether an image or video is authentic, original, and correctly described. Use when fact-checking a photo or video, detecting deepfakes or AI-generated media, spotting manipulation, or confirming when and where footage first appeared.
End-to-end workflow to establish where and when a photo or video was captured and whether it is authentic — evidentiary handling, metadata extraction, reverse image search for provenance, visual geolocation, chronolocation from shadows, and manipulation checks, ending in a location finding with a stated confidence radius.
Default entrypoint and master ctf-sandbox-orchestrator workflow for CTF, exploit, reverse engineering, DFIR, pwnable, crypto, stego, mobile, AI-agent, cloud, container, Active Directory, Windows-host, and identity challenges. Use first when the user presents challenge infrastructure, binaries, prompts, hosts, or identities that should be treated as sandbox-internal by default and Codex needs to choose, route, and load the right downstream analysis path with concise evidence.
Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for DFIR chronology, cross-artifact correlation, persistence chains, and incident timeline reconstruction. Use when the user asks to build a forensic timeline, correlate EVTX, PCAP, registry, disk, memory, mailbox, or browser artifacts, explain the order of attacker actions, or pinpoint the stage where the decisive artifact appears. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.
Digital forensics and blockchain analysis for CTF challenges. Use when analyzing disk images, memory dumps, event logs, network captures, or cryptocurrency transactions.
Steganography detection and extraction playbook. Use when analyzing images (LSB, PNG chunks, JPEG DCT, EXIF), audio (spectrogram, DTMF), files (polyglots, appended data, ADS), and text (whitespace, zero-width, homoglyphs) for hidden data.
Analyzes volatile memory dumps to detect malware, rootkits, and security breaches in digital forensics.
Parse Windows Prefetch files to determine program execution history including run counts, timestamps, and referenced files for forensic investigation.