CTFチャレンジ向けのマルウェア解析とネットワークトラフィック分析のスキルです。難読化スクリプト、悪意のあるパッケージ、カスタム暗号プロトコル、C2トラフィック、PE/.NETバイナリ、RC4/AES暗号化通信、YARAルール、シェルコード解析、メモリフォレンジック（Volatility malfind、プロセスインジェクション検出）、アンチアナリシス技術（VM/サンドボックス検出、タイミング回避、APIハッシュ、プロセスインジェクション、環境チェック）、マルウェア設定や侵入指標の抽出などの分析に使用します。
このスキルは、CTFチャレンジや実際の脅威ハンティングシナリオにおいて、マルウェア解析とネットワークトラフィック分析を効率的に行うために設計されています。難読化されたスクリプトや悪意のあるパッケージ、カスタム暗号プロトコル、C2トラフィックの分析、PE/.NETバイナリのリバースエンジニアリング、RC4/AESで暗号化された通信の復号、YARAルールを用いたパターンマッチング、シェルコードの静的/動的解析、Volatilityを使ったメモリフォレンジック（malfindやプロセスインジェクションの検出）、VM/サンドボックス検出、タイミング回避、APIハッシュ、プロセスインジェクション、環境チェックといったアンチアナリシス技術の特定と回避、マルウェアの設定情報や侵入指標（IoC）の抽出など、幅広い解析タスクをサポートします。このスキルは、Claude CodeやCursor、CodexなどのAIエージェントプラットフォームで動作し、ユーザーが複雑なマルウェア解析を迅速に行えるように設計されています。SKILL.mdには具体的なコマンド例や解析手順が詳述されており、初心者から上級者まで活用可能です。
npx skills add https://github.com/ljagiello/ctf-skills/tree/main/skills/ctf-malwareInstalled? Explore more 研究＆データ分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
CTFチャレンジ向けのマルウェア解析とネットワークトラフィック分析の機能を提供します。難読化スクリプト、悪意のあるパッケージ、カスタム暗号プロトコル、C2トラフィック、PE/.NETバイナリ、RC4/AES暗号化通信、YARAルール、シェルコード解析、マルウェア向けメモリフォレンジック（Volatility malfind、プロセスインジェクション検出）、アンチアナリシス技術（VM/サンドボックス検出、タイミング回避、APIハッシュ、プロセスインジェクション、環境チェック）、またはマルウェア設定や侵入指標の抽出を行う際に使用します。
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 digital forensics and signal analysis techniques for CTF challenges. Use when analyzing disk images, memory dumps, event logs, network captures, cryptocurrency transactions, steganography, PDF analysis, Windows registry, Volatility, PCAP, Docker images, coredumps, side-channel power traces, DTMF audio spectrograms, packet timing analysis, CD audio disc images, or recovering deleted files and credentials.
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.