mcpbeat

incogbyte Skills

2 skills published by incogbyte across 2 repositories. Together they weigh 154 080 tokens — that is what loading all of them at once would cost you in context.

2 skills 154 080 tokens total

Android Reverse Engineering
android-reverse-engineering-claude-skill

Decompile Android APK, XAPK, AAB, DEX, JAR, and AAR files using jadx or Fernflower/Vineflower. Reverse engineer Android apps, extract HTTP API endpoints (Retrofit, OkHttp, Volley, GraphQL, WebSocket), trace call flows from UI to network layer, analyze security patterns (cert pinning, exposed secrets, Android Fragment Injection via exported PreferenceActivity), perform dynamic analysis with Frida (adaptive bypass generation, crash analysis, runtime hooking), and — only when the decompiled app contains Google API keys or Firebase configuration — run a conditional Firebase & Google API testing phase (Auth, Realtime DB, Firestore, Remote Config, Storage, Dynamic Links, FCM, Gemini, Maps). Use when the user wants to decompile, analyze, or reverse engineer Android packages, find API endpoints, follow call flows, audit app security, bypass runtime protections, test exposed Google/Firebase credentials, or check for Fragment Injection exposure.

56k tokens scripts
Ios Reverse Engineering
iOS-reverse-engineering-claude-skill

Extract and analyze iOS IPA, .app bundles, Mach-O binaries, .dylib, and .framework files using ipsw, otool, strings, radare2/rizin, and Ghidra headless. Reverse engineer iOS apps, extract HTTP API endpoints (URLSession, Alamofire, Moya, AFNetworking, GraphQL, WebSocket), trace call flows from ViewControllers to network layer, analyze security patterns (ATS, cert pinning, keychain, jailbreak detection), audit static iOS vulnerabilities (insecure local storage, WebView/JS-bridge, deeplink/URL-scheme hijack, weak crypto/RNG, biometric-bypass patterns, sensitive-data logging, ATS detail, privacy/tracking, entitlements risk, debug artifacts), deep-scan for cloud & SaaS credentials (Firebase, AWS, GCP, Azure, Stripe, GitHub, GitLab, Twilio, SendGrid, Slack, Telegram, web3) with false-positive minimization (placeholder allowlist, format/entropy validation, client-safe tagging), perform LLM-assisted binary reversing analysis with Ghidra scripts, fingerprint embedded third-party SDKs with CVE checking, and detect anti-tampering protections (obfuscation, anti-debug, dylib injection prevention, integrity checks). Use when the user wants to extract, analyze, or reverse engineer iOS packages, find API endpoints, follow call flows, audit app security or vulnerabilities, scan for leaked secrets, identify third-party SDKs, detect app protections, or perform deep binary analysis.

98k tokens scripts