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 ctf-sandboxgit 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/ctf-sandbox)<a href="https://agentmods.dev/skills/zhaoxuya520/reverse-skill/ctf-sandbox"><img src="https://agentmods.dev/badge/skills/zhaoxuya520/reverse-skill/ctf-sandbox/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/zhaoxuya520/reverse-skill/ctf-sandbox"><img src="https://agentmods.dev/badge/skills/zhaoxuya520/reverse-skill/ctf-sandbox.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00067 | $0.00432 |
| Opus 5 | $0.00034 | $0.00216 |
| Sonnet 5 | $0.00013 | $0.00086 |
| Haiku 4.5 | $0.00007 | $0.00043 |
Grade A, and why
ctf-sandbox 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 10d 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.
What it actually says
CTF sandbox entry (sidecar, not a second router)
ACTION REQUIRED（读完后立刻执行）
NOW: 跑../scripts/case-init.ps1；auth.status=granted前禁止对真实外网 ACT。竞赛/靶场用-NetworkProfile lab或offline。NOW: 打开包根下的../../CTF-Sandbox-Orchestrator/ctf-sandbox-orchestrator/SKILL.md，按它的 sandbox 假设继续。MUST NOT把 40+ 个competition-*子技能写进routing.json。本入口只是一条 PRIMARY 门闩。ACT: 由 orchestrator 选一个 downstreamcompetition-*。具体题型已明确时（pwn/ROP、APK、IDA）应已由routing.json更靠前的规则赢下，不要再抢。
为什么单独一层
CTF-Sandbox-Orchestrator/ 是 GPL 旁路包，授权默认是沙箱内部。核心路由包仍是 MIT + scope.md 门禁。本 skill 只做关键词入口，不把竞赛树并进核心。
任务完成自检（声称完成前 MUST 通过）
- 我是否先走了 case-init / scope，而不是把“用户说了 CTF”当成已授权外网？
- 我是否打开了 sidecar orchestrator，而不是把 40 个子技能当 PRIMARY？
- 若任务其实是 pwn/APK/IDA，我是否让更具体的 PRIMARY 接手？
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.
- 10d ago First seen · 24 lines · 67 tokens per session scan A 8aac859b40eb
ctf-sandbox is a skill published in the GitHub repository zhaoxuya520/reverse-skill (35,402 stars, last pushed 7d ago), licensed MIT. It adds 67 tokens to every session and 432 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 2026-08-30.
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