competition-reverse-pwn

competition-reverse-pwn is a skill for Codex from zhaoxuya520/reverse-skill. It costs 105 tokens per session (792 once invoked), scanned A, original, MIT.

A specialized guide for analyzing binary programs, malware, firmware, memory dumps, network captures, and native crashes. It combines reverse engineering, digital forensics, and exploit investigation within a sandbox.

In plain words
What is it for?
Use it to inspect file formats, sections, imports, strings, packed layers, memory, logs, registry entries, services, tasks, interprocess communication, and crashes.
Why use it?
It helps turn confusing files or crash evidence into a traceable chain of decoded data, program behavior, persistence, leaks, or failures.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: $skill-name invocation.

Good fit Use it to inspect file formats, sections, imports, strings, packed layers, memory, logs, registry entries, services, tasks, interprocess communication, and crashes.

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Install with agentmods
npx agentmods add skills/zhaoxuya520/reverse-skill/competition-reverse-pwn
About the project

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.

zhaoxuya520/reverse-skill · 35,402 stars · on GitHub

Install

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.

Any agent
npx skills add zhaoxuya520/reverse-skill --skill competition-reverse-pwn
Clone the repo
git clone --depth 1 https://github.com/zhaoxuya520/reverse-skill

Made for: Codex.

Wrote 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.

agentmods badge for competition-reverse-pwn

README.md
[![agentmods](https://agentmods.dev/badge/skills/zhaoxuya520/reverse-skill/competition-reverse-pwn/github.svg)](https://agentmods.dev/skills/zhaoxuya520/reverse-skill/competition-reverse-pwn)
Your own site
<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.

agentmods 80×15 button for competition-reverse-pwn

Your own site · 80×15
<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>
Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 792 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 11d ago against content hash c8f622721f62, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

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.

Origin

Copies of this mod

4 near-identical copies found in the catalogue:

CTF-Sandbox-Orchestrator/competition-reverse-pwn/SKILL.md · 53 lines

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

  1. Preserve the original artifact before unpacking, patching, or instrumenting.
  2. Start with passive triage: type, headers, sections, imports, strings, entropy, resources.
  3. Decide whether the path is reverse-first, DFIR-first, or exploit-first.
  4. Tie every claim to an observable boundary: decode edge, persistence edge, crash edge, or leak edge.
  5. 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.md for 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.

Read the full file on GitHub · 53 lines

Files

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.

Changes

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.

  1. 11d ago First seen · 53 lines · 105 tokens per session scan A c8f622721f62

Subscribe to this mod's changes

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.

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