Borrowing it
Nothing to install: this file belongs to dotnetdreamer/open-android-dex. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/dotnetdreamer/open-android-dex/main/.claude/skills/reverse-engineering/SKILL.mdgit clone --depth 1 https://github.com/dotnetdreamer/open-android-dexWrote 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/dotnetdreamer/open-android-dex/reverse-engineering)<a href="https://agentmods.dev/skills/dotnetdreamer/open-android-dex/reverse-engineering"><img src="https://agentmods.dev/badge/skills/dotnetdreamer/open-android-dex/reverse-engineering/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/dotnetdreamer/open-android-dex/reverse-engineering"><img src="https://agentmods.dev/badge/skills/dotnetdreamer/open-android-dex/reverse-engineering.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00117 | $0.03542 |
| Opus 5.5 | $0.00047 | $0.01417 |
| Sonnet 5.5 | $0.00023 | $0.00708 |
| Haiku 4.5 | $0.00012 | $0.00354 |
Grade A, and why
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 1mo 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.
The source is not reproduced here
Licensed GPL-3.0
The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
23 files 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.
- anti-analysis.md 28 KB
- awesome-re-resources.md 6.4 KB
- crypto-decode-tools.md 6.8 KB
- dsl-vm-reverse/SKILL.md 11 KB
- elf-analysis.md 8.4 KB
- field-notes.md 38 KB
- go-reverse.md 7.1 KB
- kernel-driver-reverse.md 10.0 KB
- languages-compiled.md 22 KB
- languages-platforms.md 23 KB
- languages.md 20 KB
- patterns-ctf-2.md 19 KB
- patterns-ctf-3.md 34 KB
- patterns-ctf.md 24 KB
- patterns.md 29 KB
- platforms-hardware.md 11 KB
- platforms.md 14 KB
- references/ai-assisted-re.md 4.7 KB
- references/ollvm-deobfuscation.md 23 KB
- references/re-agent-workflow.md 1.9 KB
- tools-advanced.md 26 KB
- tools-dynamic.md 29 KB
- tools.md 14 KB
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.
- 1mo ago First seen · 213 lines · 117 tokens per session scan A 87905a8f679a
reverse-engineering is a skill published in the GitHub repository dotnetdreamer/open-android-dex (188 stars, last pushed yesterday), licensed GPL-3.0. It adds 117 tokens to every session and 3,542 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-08-30.
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.
nightly-audit-engineer-getting-started
A first-conversation guide for setting up a code-audit assistant. A code audit is a focused review of source code for defects or risky behavior, with the needed repository, scope, concerns, permissions, and schedule clarified first.
nightly-audit-engineer-ops
A workflow for reviewing code for reproducible quality problems and recording the evidence behind each finding. It follows data through inputs, permissions, storage, asynchronous work, and recovery, then suggests the smallest authorized fix.
nightly-audit-engineer-evidence
A small local checker that creates stable identifiers for code-audit findings and marks duplicates within the current batch or among previously seen findings. It processes supplied JSON with Python and does not infer whether a problem was fixed.
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.