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-reverse-pwngit 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-reverse-pwn)<a href="https://agentmods.dev/skills/zhaoxuya520/reverse-skill/competition-reverse-pwn"><img src="https://agentmods.dev/badge/skills/zhaoxuya520/reverse-skill/competition-reverse-pwn/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-reverse-pwn"><img src="https://agentmods.dev/badge/skills/zhaoxuya520/reverse-skill/competition-reverse-pwn.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 | $0.00105 | $0.00792 |
| Opus 5 | $0.00053 | $0.00396 |
| Sonnet 5 | $0.00021 | $0.00158 |
| Haiku 4.5 | $0.00011 | $0.00079 |
Grade A, and why
competition-reverse-pwn 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 11d 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-reverse-pwn — 100% identical, 0 lines differ
- competition-reverse-pwn — 100% identical, 0 lines differ
- competition-reverse-pwn — 100% identical, 0 lines differ
- competition-reverse-pwn — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competition Reverse Pwn
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 for binary-heavy challenges where the decisive path runs through artifacts, decoded layers, process behavior, crash state, or exploit primitives.
Reply in Simplified Chinese unless the user explicitly requests English.
Quick Start
- Preserve the original artifact before unpacking, patching, or instrumenting.
- Start with passive triage: type, headers, sections, imports, strings, entropy, resources.
- Decide whether the path is reverse-first, DFIR-first, or exploit-first.
- Tie every claim to an observable boundary: decode edge, persistence edge, crash edge, or leak edge.
- Reproduce the artifact or primitive from a clean baseline.
Workflow
1. Reverse Or Forensic Triage
- Separate loader, payload, config, and post-decode behavior.
- Correlate files, memory, logs, registry, services, tasks, IPC, and PCAPs as one graph.
- Keep decoded or dumped artifacts separate from the pristine sample.
2. Native And Exploit Path
- Map mitigations, loader behavior, libc or runtime, syscall and IPC surfaces, and protocol framing.
- Record the primitive, controllable bytes, leak source, target object, and final artifact separately.
- Compare host, libc, loader, and framing differences before doubting the primitive.
Read This Reference
- Load
references/reverse-pwn.mdfor triage order, exploit evidence expectations, and common failure modes. - If the task is specifically about staged payload boundaries, config blobs, beacon parameters, or decoded IOC fields, prefer
$competition-malware-config. - If the task is specifically about firmware partitions, boot chains, extracted filesystems, or update-package trust boundaries, prefer
$competition-firmware-layout. - If the task is specifically about upload parsing, previews, archive extraction, converters, or deserialization chains, prefer
$competition-file-parser-chain. - If the task is specifically about source maps, emitted bundles, chunk registries, or reconstructing hidden runtime structure from served frontend assets, prefer
$competition-bundle-sourcemap-recovery. - If the task is specifically about container-to-host boundary crossing, kernel exploit preconditions, namespace or cgroup crossover, or escape primitive verification, prefer
$competition-kernel-container-escape. - If the task is specifically about reconstructing protocols, streams, or transferred artifacts from packet captures, prefer
$competition-pcap-protocol. - If the task is specifically about a custom binary or text protocol where replay state, message order, or checksum logic is the real blocker, prefer
$competition-custom-protocol-replay. - If the task is specifically about reconstructing chronology across EVTX, PCAP, registry, mail, or disk artifacts, prefer
$competition-forensic-timeline.
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.
- 11d ago First seen · 53 lines · 105 tokens per session scan A c8f622721f62
competition-reverse-pwn is a skill published in the GitHub repository zhaoxuya520/reverse-skill (35,402 stars, last pushed 7d ago), licensed MIT. It adds 105 tokens to every session and 792 once invoked, about $0.0005 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.
Other skills, from other repositories
debug-optimize-lcp
Guides debugging and optimizing Largest Contentful Paint (LCP) using Chrome DevTools MCP tools. Use this skill whenever the user asks about LCP performance, slow page loads, Core Web Vitals optimization, or wants to understand why their page's main content takes too long to appear. Also use when the user mentions…
systematic-debugging
Use when debugging a failing test, build error, or runtime issue that isn't immediately obvious. Guides a 4-phase root cause analysis instead of random fix attempts.
diagnose
Trace from a reproduced symptom to the source code that causes it. Pin the specific file and approximate line, rate confidence in the cause and clarity of the fix independently, and always propose a concrete fix.
repro-admin
Reproduce an EmDash admin UI bug. Attach a container, start the demo dev server, drive the admin with agent-browser using the dev-bypass session, and capture the reproduction as screenshots plus a replayable transcript.
log-error-digest
Analyze log files to troubleshoot errors, identify peak error periods, and produce error clustering, frequency statistics, and time distribution reports. Supports JSON, syslog, and Nginx formats with automatic detection. Use when a user uploads a .log file and asks to analyze errors, find patterns, debug issues, or…
byted-util-volcengine-detect-retry
An orchestration workflow for Volcengine Cloud Detect, a service that checks websites or network endpoints from test locations.