Reverse Skill is a routing package for AI coding agents that selects appropriate reverse-engineering, penetration-testing, and security-research methods and tools for a given target. It is used for tasks involving APKs, binaries, frontend JavaScript, packet captures, CTF challenges, and authorized penetration testing. Its catalogue add-ons provide the skills and instructions that guide these workflows.
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 zhaoxuya520/reverse-skill --skill dsl-vm-reversegit clone --depth 1 https://github.com/zhaoxuya520/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/zhaoxuya520/reverse-skill/dsl-vm-reverse)<a href="https://agentmods.dev/skills/zhaoxuya520/reverse-skill/dsl-vm-reverse"><img src="https://agentmods.dev/badge/skills/zhaoxuya520/reverse-skill/dsl-vm-reverse.svg" alt="Measured on agentmods" height="20"></a>- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00063 | $0.03927 |
| Opus 5 | $0.00032 | $0.01963 |
| Sonnet 5 | $0.00013 | $0.00785 |
| Haiku 4.5 | $0.00006 | $0.00393 |
Grade A, and why
dsl-vm-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 5d 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.
Copies of this mod
3 near-identical copies found in the catalogue:
- dsl-vm-reverse — 94% identical, 6 lines differ
- dsl-vm-reverse — 84% identical, 11 lines differ
- dsl-vm-reverse — 84% identical, 11 lines differ
How it starts
The opening of the file, as written. The whole thing — 381 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🔄 DSL 自定义虚拟机逆向（DSL VM Reverse Engineering）
ACTION REQUIRED（读完后立刻执行）
NOW: 确认当前任务是自定义 JS opcode VM / 风控引擎，不是标准 WASM 或普通 webpackNOW:case-init直到scope.md就绪；离线样本用offline/labACT: 从「3. 通用逆向工作流」Phase 1 做文件分类，不要停在目录
用于逆向基于 JavaScript 实现的自定义 WASM 虚拟机/风控引擎
目录
1. 适用范围
当目标文件符合以下 任意特征 时使用本 skill：
| # | 特征 | 说明 |
|---|---|---|
| 1 | IIFE 开头 + 大量单字母变量名 | !function(){var U=void 0,y=parseInt,E0=Function,...} |
| 2 | 包含 DG() 或类似函数含 switch-case 循环 |
解释器主循环，d[7]&31 解码 opcode |
| 3 | 大文件（500KB+）但零字节占比 < 1% | 非标准 WASM，纯 JS |
| 4 | 包含 C[number] 常量表引用 |
C[9][xxx] 函数表/字符串表 |
| 5 | 单行压缩代码 | 583KB 单行，混淆变量名 |
排除规则
| 条件 | 非本 skill | 转至 |
|---|---|---|
文件以 \x00asm 开头 |
标准 WASM 二进制 | reverse-engineering/languages.md |
文件以 Uint8Array([0,97,115,109]) 含 WASM 魔术字 |
WASM 嵌入式 | 提取 .wasm 后转 IDA/Ghidra |
标准 Webpack 打包（function(e,t,n){...}） |
普通 JS | js-reverse/ |
| 零字节占比 > 20% | WASM 二进制 | reverse-engineering/languages.md |
2. DSL VM 识别特征
代码特征
// 特征 1: IIFE 入口，单字母变量映射数字常量
!function(){
var U=void 0, y=parseInt, E0=Function, AN=Uint8Array;
var E=15, l=10, m=12, x=16, S=13, $=11;
// 数字常量映射为变量名，替代原始数字
...
}
// 特征 2: 解释器主循环 DG()
function DG(C, d, ...) {
var d = []; // 数组模拟 WASM stack/locals
for (d[7] = x; d[7] !== U;) {
var aE = d[7] & 31; // 低 5 位 = opcode
var O = d[7] >> 5 & 31; // 高 5 位 = sub-operation
switch (aE) {
case 0: /* ... */ d[7] = 612; break;
case 1: /* ... */
// ... N 个 case
}
}
}
// 特征 3: 常量表 C[9] 存储函数索引和字符串
// C[9][0] = ["pc"] → 函数参数描述
// C[9][667] = "string" → 字符串常量
// C[9][x] = number → 函数索引
// 特征 4: W(C[index], null, ...) 调用模式
// W = Function.prototype.call.bind(call)
// 所有内置函数通过 C[index] 索引调用
// 特征 5: 指令编码格式
// d[7] = opcode(bit 0-4) | subop(bit 5-9) | operand(bit 10+)
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.
- 5d ago First seen · 381 lines · 63 tokens per session scan A d3903b68141e
dsl-vm-reverse is a skill published in the GitHub repository zhaoxuya520/reverse-skill (35,027 stars, last pushed 5d ago), licensed MIT. It adds 63 tokens to every session and 3,927 once invoked, about $0.0003 per session on Opus 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 2026-09-03.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…