Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add rules/anatoly505/ios-reverse-skills/ios-reverse-engineeringgit clone --depth 1 https://github.com/anatoly505/ios-reverse-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/rules/anatoly505/ios-reverse-skills/ios-reverse-engineering)<a href="https://agentmods.dev/rules/anatoly505/ios-reverse-skills/ios-reverse-engineering"><img src="https://agentmods.dev/badge/rules/anatoly505/ios-reverse-skills/ios-reverse-engineering.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00000 | $0.01165 |
| Opus 5 | $0.00000 | $0.00583 |
| Sonnet 5 | $0.00000 | $0.00233 |
| Haiku 4.5 | $0.00000 | $0.00117 |
Grade A, and why
ios-reverse-engineering scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
iOS Reverse Engineering Skill (Cursor)
Use this rule whenever the user asks to extract, analyze, or reverse engineer
an iOS app — IPA, .app bundle, Mach-O, .dylib, or .framework.
You drive a 10-phase workflow. The full reference is in
${IOS_RE_SKILL_ROOT}/METHODOLOGY.md. By default ${IOS_RE_SKILL_ROOT}
resolves to the skill/ directory of ios-reverse-skills checked out in or
linked from the workspace (e.g. tools/ios-reverse-skills/skill). If unsure,
ask the user where the repo is.
Tooling
Required: ipsw (brew install blacktop/tap/ipsw), otool, strings,
unzip. Recommended: radare2 / rizin, Ghidra (set GHIDRA_INSTALL_DIR).
Always start with:
bash ${IOS_RE_SKILL_ROOT}/scripts/check-deps.sh
For each INSTALL_REQUIRED:<dep> line, run
bash ${IOS_RE_SKILL_ROOT}/scripts/install-dep.sh <dep> and re-check.
10-Phase Workflow
- Verify deps —
check-deps.shtheninstall-dep.shas needed. - Extract & class-dump —
extract-ipa.sh [opts] <file>(handles IPA,.app, Mach-O,.dylib,.framework). Options:-o,--no-classdump,--thin <arch>,--swift-demangle. - Analyze structure — read
Info.plist,entitlements.plist,class-dump/,frameworks/. Identify architecture (MVC / MVVM / VIPER / Coordinator). - Trace call flows — AppDelegate /
@main App→ ViewController → ViewModel/Presenter → Service/Repository → API client → URLSession / Alamofire. Use class-dump headers as anchors when symbols are mangled. - API extraction —
find-api-calls.sh <output>/ --context 3 --dedup --report report.md. Targeted:--urlsession --alamofire --graphql --websocket --auth --urls --swift-concurrency --security. - Security audit —
find-api-calls.sh <output>/ --security --context 3. Flag ATS exceptions, disabled cert pinning, hardcoded secrets, weak crypto, keychain misuse, jailbreak-detection bypass, debug artifacts. - Cloud secrets —
deep-secret-scan.sh <output>/ --report secrets-report.md. Targeted:--firebase --aws --gcp --azure --payments --messaging --analytics --jwt --severity high. Classify each finding (service, client-safety, blast radius, false-positive likelihood, validation, remediation). - Deep reversing —
reversing-analyze.sh <main-binary> -o <output>/reversing. Variants:--quick --secrets --network --crypto --auth --decompile <sym> --decompile-pattern <regex> --xrefs <sym> --callgraph <sym> --entropy --tool ghidra. With--tool ghidra, the bundled Java scripts run automatically. - SDK fingerprinting —
detect-sdks.sh <output>/ --check-cves --report sdks-report.md. - Protections —
detect-protections.sh <output>/ --report protections-report.md. Targeted:--obfuscation --debugger --injection --integrity --jailbreak --encryption. Score 0–20.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 107 lines · 0 tokens per session scan A 2eff6d019536
ios-reverse-engineering is a cursor rule published in the GitHub repository anatoly505/ios-reverse-skills (10 stars, last pushed 4mo ago), licensed Unlicense. It costs nothing until one of its globs matches a file; then it loads 1,165 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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