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Firmware Malware Analysis

performing-firmware-malware-analysis

mukul975/Anthropic-Cybersecurity-Skills

Performs firmware image examination to uncover embedded malware, backdoors, or unauthorized modifications in routers, IoT units, UEFI/BIOS, and other embedded systems, covering extraction, filesystem inspection, reverse engineering, and bootkit hunting.

IoT Security Assessment

performing-iot-security-assessment

mukul975/Anthropic-Cybersecurity-Skills

Performs comprehensive IoT device security assessments, combining hardware interface testing, firmware extraction, runtime exploitation, and network/cloud/mobile analysis to find vulnerabilities before deployment or for product reviews.

Kubernetes Penetration Testing

performing-kubernetes-penetration-testing

mukul975/Anthropic-Cybersecurity-Skills

Guides security teams through hands-on Kubernetes penetration testing—covering reconnaissance, KPI scanning (kube-hunter, Kubescape, kube-bench), RBAC exploitation, secret extraction, and compliance checks to validate cluster resilience.

Malware IOC Extraction Guide

performing-malware-ioc-extraction

mukul975/Anthropic-Cybersecurity-Skills

Analyzes malware to extract file hashes, C2 domains, IPs, URLs, registry hits and behavioral artifacts, blending static PE parsing, sandbox detonations, YARA-based IOC spotting, and STIX 2.1 formatting for CTI sharing during assessments or incident response.

Cellebrite Mobile Forensics

performing-mobile-device-forensics-with-cellebrite

mukul975/Anthropic-Cybersecurity-Skills

Guide for acquiring and analyzing smartphone data with Cellebrite UFED plus ALEAPP/iLEAPP and libimobiledevice, covering device prep, logical/physical dumps, and messaging extraction for investigations.

Network Traffic Analysis Automation

performing-network-traffic-analysis-with-tshark

mukul975/Anthropic-Cybersecurity-Skills

Automates tshark and pyshark to parse PCAPs for protocol stats, suspicious flows, DNS anomalies, and IOC extraction during security assessments or incident response drills.

PLC Firmware Security Review

performing-plc-firmware-security-analysis

mukul975/Anthropic-Cybersecurity-Skills

Analyzes PLC firmware to uncover vulnerabilities such as hardcoded credentials, insecure updates, backdoors, memory corruption, and undocumented debug interfaces. Covers extraction from Siemens, Allen-Bradley, and Schneider platforms, static and dynamic inspection, and baseline comparison to detect tampering.

Second-Order SQL Injection

performing-second-order-sql-injection

mukul975/Anthropic-Cybersecurity-Skills

Guide to detecting and exploiting second-order SQL injections where malicious input is stored safely but later resurfaces in a different query, covering discovery, payload storage, triggering, blind extraction, and escalation steps for web apps.

Steganography Detection Workflow

performing-steganography-detection

mukul975/Anthropic-Cybersecurity-Skills

Use steganalysis and metadata tools to detect concealed payloads inside images, audio, and video, guiding investigators through metadata review, automated scans, LSB statistics, and extraction attempts for covert channel detection.

Rust Malware Reverse Engineering

reverse-engineering-rust-malware

mukul975/Anthropic-Cybersecurity-Skills

Guides analysts through reverse engineering Rust-compiled malware with IDA Pro and Ghidra, covering non-null-terminated strings, dependency extraction, and Rust-specific control flow to inform testing and detection efforts.

Foresight Activation Guide

soft-predict-future

davepoon/buildwithclaude

Soft Predict Future is a structured foresight engine that triggers whenever the user asks about future outcomes or scenarios. It enforces a nine-step analytical pipeline (validation, signal collection, scoring, driver extraction, etc.), highlights required searches and inputs, and directs the user to web-enabled reasoning for predictive analysis.

Domain Knowledge Extraction

bdistill-knowledge-extraction

sickn33/antigravity-awesome-skills

Extract structured, quality-scored domain knowledge from live AI sessions or local open-source models via Ollama, producing searchable reference datasets and traditional ML-ready outputs without needing extra API keys.

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