ctf-misc 是做什麼的？
提供各種 CTF 雜項挑戰技術，適用於無法明確歸類到主要類別的問題。可用於編碼謎題、Python 沙箱逃脫、Bash 沙箱逃脫、RF/SDR、DNS 異常、Unicode 技巧、深奧語言、QR 碼或音訊謎題、約束求解、博弈論、非典型沙箱逃脫以及混合邏輯謎題。當挑戰主要屬於 Web、Pwn、逆向工程、取證、惡意軟體分析、OSINT 或密碼學時，應優先使用更專門的技能。請將此技能視為處理真正跨類別或邊緣案例挑戰的備用方案，而非預設的起點。
提供各種 CTF 雜項挑戰技術，適用於無法明確歸類到主要類別的問題，如編碼謎題、Python 沙箱逃脫、Bash 沙箱逃脫、RF/SDR、DNS 異常、Unicode 技巧、深奧語言、QR 碼或音訊謎題、約束求解、博弈論、非典型沙箱逃脫以及混合邏輯謎題。
ljagiello/ctf-misc 是一個專門處理 CTF 競賽中「雜項」(Misc) 類挑戰的技能。這類挑戰通常涉及多個領域的混合問題，或是邊緣案例，無法單獨歸類到 Web、Pwn、逆向工程、取證、惡意軟體分析、OSINT 或密碼學等主要類別。技能支援的挑戰類型包括編碼解謎、Python 沙箱逃脫與 Bash 沙箱逃脫、RF/SDR 通訊、DNS 異常、Unicode 技巧、深奧語言（Esolang）、QR 碼或音訊謎題、約束求解、博弈論及非典型沙箱逃脫等。該技能適用於多種平台（如 Claude Code、Cursor 等），其設計宗旨是作為備用技能：當主要類別技能無法適用時，才用於處理真正的跨類別或邊緣案例挑戰，而非預設的起點。開發者應優先使用更專門的技能（例如 web、pwn、reverse、forensics、malware、OSINT、crypto），僅在確定挑戰屬於雜項範疇時才使用本技能。
npx skills add https://github.com/ljagiello/ctf-skills/tree/main/skills/ctf-miscInstalled? Explore more 程式設計與開發 skills: steipete/bluebubbles, steipete/eightctl, steipete/blucli · View all 6 →
提供各種 CTF 雜項挑戰技術，適用於無法明確歸類到主要類別的問題。可用於編碼謎題、Python 沙箱逃脫、Bash 沙箱逃脫、RF/SDR、DNS 異常、Unicode 技巧、深奧語言、QR 碼或音訊謎題、約束求解、博弈論、非典型沙箱逃脫以及混合邏輯謎題。當挑戰主要屬於 Web、Pwn、逆向工程、取證、惡意軟體分析、OSINT 或密碼學時，應優先使用更專門的技能。請將此技能視為處理真正跨類別或邊緣案例挑戰的備用方案，而非預設的起點。
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 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 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.
Send and manage iMessages via BlueBubbles, including attachments, tapbacks, edits, replies, and groups.
Control Eight Sleep pods (status, temperature, alarms, schedules).
BluOS CLI (blu) for discovery, playback, grouping, and volume.
Create, search, and manage Bear notes via grizzly CLI.
Capture frames or clips from RTSP/ONVIF cameras.
Search GIF providers with CLI/TUI, download results, and extract stills/sheets.