ios-reverse-engineering

ios-reverse-engineering is a Penetration testing & red team skill for AI agents, published by incogbyte in the iOS-reverse-engineering-claude-skill repository on GitHub. Skillspace rates ios-reverse-engineering C (70/100) and it passed the safety scan; the rating is based on static analysis only.

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…

Grade
C
Quality
70 / 100
Safety
Passed
GitHub stars
65

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubincogbyte/iOS-reverse-engineering-claude-skill

Our review

Architecture
88 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
Unlicense
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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