Agent Skills by abelrguezr
There are 5 agent skills in our directory.
abelrguezr publishes 5 AI agent skills in our directory. Browse them below — each links back to its source repository.
Updated June 2026
- android-webview-pentestAndroid WebView security assessment and exploitation. Use this skill whenever the user mentions WebView vulnerabilities, Android app pentesting, JavaScript bridges, deep-linking attacks, file access in WebViews, or needs to test WebView configurations. Trigger for any Android security testing involving WebView components, @JavascriptInterface exploitation, intent-based WebView attacks, or WebView remote debugging.
- pentest-hop-by-hop-headersUse this skill whenever testing web applications for HTTP header vulnerabilities, proxy misconfigurations, or when investigating hop-by-hop header handling issues. Trigger this skill for any pentesting task involving HTTP headers, X-Forwarded-For manipulation, cache poisoning, or proxy bypass techniques. Don't forget to use this skill when the user mentions headers, proxies, HTTP security testing, or web application penetration testing.
- rop-leak-libcHow to exploit buffer overflow vulnerabilities by leaking libc addresses using ROP chains. Use this skill whenever the user mentions buffer overflow, ROP, return-oriented programming, libc, GOT, PLT, binary exploitation, pwn challenges, CTF exploitation, or needs to find shellcode addresses in dynamic binaries. Make sure to use this skill for any binary exploitation task involving dynamic linking, address leaks, or ROP gadget chains, even if they don't explicitly say "ROP" or "libc leak".
- snmp-rce-exploitationExploit SNMP services with write-accessible community strings to achieve remote code execution. Use this skill whenever you need to test SNMP security, enumerate SNMP services, inject commands via NET-SNMP-EXTEND-MIB, or gain shell access through SNMP misconfigurations. Trigger this for any SNMP pentesting task, especially when you have or suspect write-accessible community strings.
- token-embeddingsCreate and work with token embeddings for LLMs. Use this skill whenever you need to understand token embeddings, create embedding layers in PyTorch, add positional embeddings (absolute, relative, or RoPE), or debug embedding-related issues in your language model. This skill covers vocabulary setup, embedding initialization, positional encoding strategies, and context window extension techniques. Make sure to use this skill when working with any LLM architecture, training pipelines, or when you need to convert tokens to numerical vectors.