CTF 챌린지에 대한 디지털 포렌식 및 신호 분석 기술을 제공합니다. 디스크 이미지, 메모리 덤프, 이벤트 로그, 네트워크 캡처, 암호화폐 거래, 스테가노그래피, PDF 분석, Windows 레지스트리, Volatility, PCAP, Docker 이미지, 코어 덤프, 부채널 전력 추적, DTMF 오디오 스펙트로그램, 패킷 타이밍 분석, CD 오디오 디스크 이미지 분석, 또는 삭제된 파일 및 자격 증명 복구에 사용하십시오.
이 스킬은 CTF(Capture The Flag) 챌린지에서 디지털 포렌식 및 신호 분석 작업을 수행하기 위한 포괄적인 도구 모음입니다. 디스크 이미지, 메모리 덤프, 네트워크 패킷 캡처(PCAP), Windows 레지스트리, PDF 파일, 스테가노그래피, 암호화폐 거래, Docker 이미지, 코어 덤프, DTMF 오디오 스펙트로그램, CD 오디오 디스크 이미지, 부채널 전력 분석 등 다양한 데이터 소스에서 플래그를 추출하거나 증거를 복구하는 데 특화되어 있습니다. 이 스킬은 Volatility, binwalk, foremost, Wireshark/tshark, steghide 등 주요 포렌식 도구와 기법을 활용하며, 사용자에게 명확한 분석 절차를 안내합니다. CLI 및 Python 스크립트 기반의 상호작용을 지원하므로, Cursor, Claude Code, Codex와 같은 AI 에이전트 환경에서 자동화된 포렌식 워크플로우를 구축하는 데 유용합니다.
npx skills add https://github.com/ljagiello/ctf-skills/tree/main/skills/ctf-forensicsInstalled? Explore more 연구 & 데이터 분석 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
CTF 챌린지에 대한 디지털 포렌식 및 신호 분석 기술을 제공합니다. 디스크 이미지, 메모리 덤프, 이벤트 로그, 네트워크 캡처, 암호화폐 거래, 스테가노그래피, PDF 분석, Windows 레지스트리, Volatility, PCAP, Docker 이미지, 코어 덤프, 부채널 전력 추적, DTMF 오디오 스펙트로그램, 패킷 타이밍 분석, CD 오디오 디스크 이미지 분석, 또는 삭제된 파일 및 자격 증명 복구에 사용하십시오.
This repo contains 10 individual skills — each has its own dedicated page.
Provides AI and machine learning techniques for CTF challenges. Use when attacking ML models, crafting adversarial examples, performing model extraction, prompt injection, membership inference, training data poisoning, fine-tuning manipulation, neural network analysis, LoRA adapter exploitation, LLM jailbreaking, or solving AI-related puzzles.
Provides cryptography attack techniques for CTF challenges. Use when attacking encryption, hashing, signatures, ZKP, PRNG, or mathematical crypto problems involving RSA, AES, ECC, lattices, LWE, CVP, number theory, Coppersmith, Pollard, Wiener, padding oracle, GCM, key derivation, or stream/block cipher weaknesses.
Provides malware analysis and network traffic techniques for CTF challenges. Use when analyzing obfuscated scripts, malicious packages, custom crypto protocols, C2 traffic, PE/.NET binaries, RC4/AES encrypted communications, YARA rules, shellcode analysis, memory forensics for malware (Volatility malfind, process injection detection), anti-analysis techniques (VM/sandbox detection, timing evasion, API hashing, process injection, environment checks), or extracting malware configurations and indicators of compromise.
Provides miscellaneous CTF challenge techniques for problems that do not cleanly fit the main categories. Use for encoding puzzles, pyjails, bash jails, RF/SDR, DNS oddities, unicode tricks, esoteric languages, QR or audio puzzles, constraint solving, game theory, unusual sandbox escapes, and hybrid logic puzzles. Prefer a more specific skill first when the challenge is mainly web, pwn, reverse, forensics, malware, OSINT, or crypto. Treat this as the fallback skill for genuine cross-category or edge-case challenges, not the default starting point.
Provides open source intelligence techniques for CTF challenges. Use when gathering information from public sources, social media, geolocation, DNS records, username enumeration, reverse image search, Google dorking, Wayback Machine, Tor relays, FEC filings, or identifying unknown data like hashes and coordinates.
Provides binary exploitation techniques for CTF challenges. Use when you already have a vulnerable native target or service and need to turn memory corruption or low-level primitives into code execution or privilege escalation, such as buffer overflows, format strings, heap bugs, ROP, ret2libc, shellcode, kernel exploitation, seccomp bypass, sandbox escape, or Windows/Linux exploit chains. Do not use it when the main blocker is understanding what the binary does; use reverse engineering first. Do not use it for pure web bugs, disk or packet forensics, or standalone crypto/math challenges.
Provides reverse engineering techniques for CTF challenges. Use when the main job is to understand how a compiled, obfuscated, packed, or virtualized target works before exploiting or solving it, including binaries, APKs, WASM, firmware, custom VMs, bytecode, game clients, malware-like loaders, and anti-debug or anti-analysis logic. Do not use it when the vulnerability is already understood and the remaining task is exploitation; use pwn instead. Do not use it for pure web workflows, log or disk forensics, or standalone crypto problems unless reversing the implementation is the real blocker.
Provides web exploitation techniques for CTF challenges. Use when the target is primarily an HTTP application, API, browser client, template engine, identity flow, or smart-contract frontend/backend surface, including XSS, SQLi, SSTI, SSRF, XXE, JWT, auth bypass, file upload, request smuggling, OAuth/OIDC, SAML, prototype pollution, and similar web bugs. Do not use it for native binary memory corruption, reverse engineering of standalone executables, disk or memory forensics, or pure cryptanalysis unless the web flaw is still the main path to the flag.
Generates a single standardized submission-style CTF writeup for competition handoff and organizer review. Use after solving a CTF challenge to document the solution steps, tools used, and lessons learned in a structured format.
Solves CTF challenges by performing first-pass triage, identifying the dominant category, and routing execution to the right specialized ctf-* skill. Use when the user gives you a challenge bundle, a remote service, a suspicious file, or only a vague challenge description and you must determine where to start. Do not use it when the category is already clear and a specialized skill can be invoked directly; this is the dispatcher and recon entrypoint, not the deepest reference for category-specific techniques.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.