ctf-web 是做什么的？
提供CTF挑战的Web利用技术。当目标主要是HTTP应用程序、API、浏览器客户端、模板引擎、身份流程或智能合约前后端表面时使用，包括XSS、SQLi、SSTI、SSRF、XXE、JWT、身份验证绕过、文件上传、请求走私、OAuth/OIDC、SAML、原型污染等类似Web漏洞。除非Web缺陷仍是获取flag的主要路径，否则不要用于原生二进制内存损坏、独立可执行文件逆向工程、磁盘或内存取证或纯密码分析。
提供CTF挑战的Web利用技术。当目标主要是HTTP应用程序、API、浏览器客户端、模板引擎、身份流程或智能合约前后端表面时使用，包括XSS、SQLi、SSTI、SSRF、XXE、JWT、身份验证绕过、文件上传、请求走私、OAuth/OIDC、SAML、原型污染等类似Web漏洞。除非Web缺陷仍是获取flag的主要路径，否则不要用于原生二进制内存损坏、独立可执行文件逆向工程、磁盘或内存取证或纯密码分析。
ljagiello/ctf-web 技能专为CTF（Capture The Flag）挑战中的Web漏洞利用场景设计。它涵盖了一系列常见的Web安全漏洞类型，包括跨站脚本（XSS）、SQL注入（SQLi）、服务端模板注入（SSTI）、服务端请求伪造（SSRF）、XML外部实体注入（XXE）、JWT安全问题、身份验证绕过、文件上传漏洞、HTTP请求走私、OAuth/OIDC配置错误、SAML漏洞以及原型污染等。该技能适用于以HTTP应用、API、浏览器客户端、模板引擎、身份流程或智能合约前后端表面为主要攻击目标的场景。它明确排除了原生二进制内存损坏、独立可执行文件逆向工程、磁盘或内存取证以及纯密码分析等非Web领域。该技能的主要目的是帮助渗透测试人员或CTF选手高效识别和利用Web层面的弱点，从而获取flag。通过系统化地提供针对各类Web漏洞的检测与利用方法，它能够显著提升在CTF竞赛中解决Web类挑战的成功率和效率。
npx skills add https://github.com/ljagiello/ctf-skills/tree/main/skills/ctf-webInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
提供CTF挑战的Web利用技术。当目标主要是HTTP应用程序、API、浏览器客户端、模板引擎、身份流程或智能合约前后端表面时使用，包括XSS、SQLi、SSTI、SSRF、XXE、JWT、身份验证绕过、文件上传、请求走私、OAuth/OIDC、SAML、原型污染等类似Web漏洞。除非Web缺陷仍是获取flag的主要路径，否则不要用于原生二进制内存损坏、独立可执行文件逆向工程、磁盘或内存取证或纯密码分析。
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 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.
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.