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 skills add Saprophytic-seattle561/reverse-skill --skill macos-reversegit clone --depth 1 https://github.com/Saprophytic-seattle561/reverse-skillWrote 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/skills/saprophytic-seattle561/reverse-skill/macos-reverse)<a href="https://agentmods.dev/skills/saprophytic-seattle561/reverse-skill/macos-reverse"><img src="https://agentmods.dev/badge/skills/saprophytic-seattle561/reverse-skill/macos-reverse.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 5.1 | $0.00035 | $0.00571 |
| Opus 5 | $0.00017 | $0.00285 |
| Sonnet 5 | $0.00007 | $0.00114 |
| Haiku 4.5 | $0.00003 | $0.00057 |
Grade A, and why
macos-reverse 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 3d 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.
This is a copy
100% identical to macos-reverse — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
macOS / Mach-O Reverse Engineering
ACTION REQUIRED(读完后立刻执行)
NOW: 读取../field-journal/precedent-reverse.mdNOW: 确认目标为 macOS/Mach-O/App bundle(iOS IPA →mobile-reverse/)NEXT: tool-index;jtool2/lldb 等ACT: 签名与装载信息 → 静态 → 动态(lldb/Frida)
适用场景
- Mach-O 可执行文件 / dylib / framework
- .app bundle、LaunchAgent/Daemon
- Objective-C / Swift 符号与 runtime
- 公证/签名、Hardened Runtime、TCC 相关行为分析
- macOS 恶意软件静态/动态分析(联合 malware-analysis)
工作流
1. 包体与签名
file target
codesign -dv --verbose=4 target
spctl -a -vv target 2>&1
otool -L target
2. 静态
□ class-dump / swift-demangle / Hopper / Ghidra / IDA
□ 字符串与 XPC 服务名、TCC 敏感 API
□ LC_LOAD_dylib 依赖与 rpath
3. 动态
□ lldb / Frida
□ fs_usage / log stream 观察
□ 网络:联合 protocol-reverse 或代理
工具链
| 工具 | 用途 |
|---|---|
| otool / nm / codesign | 系统自带 |
| Hopper / Ghidra / IDA | 反编译 |
| class-dump / dsdump | ObjC |
| Frida / lldb | 动态 |
| jtool2 | Mach-O |
参考
references/macho-triage.md../mobile-reverse/(iOS)../ghidra-reverse/../malware-analysis/
路由上下文
上游: MASTER R31
下游: iOS → mobile-reverse;通用样本 → malware-analysis
任务完成自检
- 是否记录签名/Hardened Runtime 状态?
- 是否有地址级/符号级结论?
- Checklist?
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 3d ago First seen · 74 lines · 35 tokens per session scan A 727633a83f01
macos-reverse is a skill published in the GitHub repository Saprophytic-seattle561/reverse-skill (1 stars, last pushed today), licensed MIT. It adds 35 tokens to every session and 571 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to macos-reverse, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
argent-metro-debugger
Debug a JS runtime via CDP using argent debugger tools. Primary path is React Native via Metro (iOS / Android / Vega); a subset of the tools (debugger-connect, debugger-status, debugger-evaluate, debugger-log-registry) also drive a Chromium (CDP) app's renderer (an Electron app, or any Chromium browser exposing CDP)…
argent-react-native-optimization
Optimizes a React Native app by profiling first to find real bottlenecks, then sweeping for mechanical issues. Entry-point for all performance work. Use when the app feels slow, user asks to optimize, fix re-renders, reduce jank, or improve startup. Delegates to argent-react-native-profiler for measurement.
argent-native-profiler
Native profiling for CPU hotspots, UI hangs, memory issues. iOS via xctrace; Android via Perfetto. Use when diagnosing native-level performance issues.
Debroid CLI Debugger
Orchestrate headless Android debugging via JDWP. ACTIVATE this skill whenever asked to debug an Android application, set line or exception breakpoints, inspect runtime variables or Jetpack Compose state, step through execution, evaluate live expressions, watch fields, or diagnose runtime crashes.
compose-performance
Use when investigating Jetpack Compose recomposition cost, compiler stability reports, skippability, unstable parameters, frame-rate State reads, cross-phase snapshot back-writing, or @ReadOnlyComposable contracts.
flutter-skill
Automate and test Flutter applications — launch apps, inspect widgets, tap elements, enter text, scroll, swipe, take screenshots, validate state, and debug via Dart VM Service Protocol. Use when the user wants to run Flutter app tests, automate Flutter UI interactions, inspect widget trees, debug a running Flutter…