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 competition-kernel-container-escapegit 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/competition-kernel-container-escape)<a href="https://agentmods.dev/skills/zhaoxuya520/reverse-skill/competition-kernel-container-escape"><img src="https://agentmods.dev/badge/skills/zhaoxuya520/reverse-skill/competition-kernel-container-escape/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/competition-kernel-container-escape"><img src="https://agentmods.dev/badge/skills/zhaoxuya520/reverse-skill/competition-kernel-container-escape.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 | $0.00102 | $0.00580 |
| Opus 5.5 | $0.00041 | $0.00232 |
| Sonnet 5.5 | $0.00020 | $0.00116 |
| Haiku 4.5 | $0.00010 | $0.00058 |
Grade A, and why
competition-kernel-container-escape 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.
Copies of this mod
4 near-identical copies found in the catalogue:
- competition-kernel-container-escape — 100% identical, 0 lines differ
- competition-kernel-container-escape — 100% identical, 0 lines differ
- competition-kernel-container-escape — 100% identical, 0 lines differ
- competition-kernel-container-escape — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competition Kernel Container Escape
Use this skill only as a downstream specialization after $ctf-sandbox-orchestrator is already active and has established sandbox assumptions, node ownership, and evidence priorities. If that has not happened yet, return to $ctf-sandbox-orchestrator first.
Use this skill when the decisive step is proving a boundary crossing between containerized context and host or higher-privilege kernel context.
Reply in Simplified Chinese unless the user explicitly requests English.
Quick Start
- Map runtime isolation first: namespaces, cgroups, seccomp, capabilities, LSM, and mount boundaries.
- Separate exploit prerequisite, primitive, and boundary-crossing proof.
- Record kernel version, config hints, runtime options, and reachable syscall surface.
- Keep instrumented observations separate from pristine challenge path.
- Reproduce one minimal primitive-to-boundary-crossing chain.
Workflow
1. Map Isolation And Kernel Surface
- Record namespace map, cgroup mode, capabilities, seccomp profile, AppArmor or SELinux state, mounted filesystems, and runtime sockets.
- Note kernel version, distro build hints, module exposure, and container runtime behavior.
- Keep host and container observations linked to exact node and context.
2. Prove Exploit Primitive And Crossover
- Show controllable input, trigger condition, affected object, and observable kernel or runtime state change.
- Capture before and after identity, namespace, mount, or process visibility to prove boundary crossing.
- Distinguish crash-only behavior from stable capability gain.
3. Reduce To Decisive Escape Chain
- Compress to: prerequisite state -> primitive trigger -> boundary crossing evidence -> resulting host-level capability.
- State whether root cause is kernel vulnerability, runtime misconfiguration, capability overgrant, or namespace leak.
- If path relies mostly on credential replay after initial foothold, hand off to Linux credential pivot skill.
What ships with it
2 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.
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 · 51 lines · 102 tokens per session scan A c6e840b0365e
competition-kernel-container-escape is a skill published in the GitHub repository zhaoxuya520/reverse-skill (42,152 stars, last pushed 24d ago), licensed MIT. It adds 102 tokens to every session and 580 once invoked, about $0.0004 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
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…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
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…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…