competition-reverse-pwn

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

A specialized guide for CTF exercises involving binaries, malware, memory dumps, firmware, network captures, or native programs. It combines reverse engineering, digital forensics, and exploit debugging.

In plain words
What is it for?
Use it to triage and unpack binaries, analyze malware or firmware, inspect dumps and PCAPs, debug crashes, and verify exploit primitives.
Why use it?
It helps preserve original evidence and connect files, memory, logs, processes, and crashes to an observable decoding, persistence, or exploit step.

Skill for Codex

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

Good fit Use it to triage and unpack binaries, analyze malware or firmware, inspect dumps and PCAPs, debug crashes, and verify exploit primitives.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/asaiuta/reverse-workbench-skill/competition-reverse-pwn
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 Asaiuta/reverse-workbench-skill --skill competition-reverse-pwn
Clone the repo
git clone --depth 1 https://github.com/Asaiuta/reverse-workbench-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/asaiuta/reverse-workbench-skill/competition-reverse-pwn.svg)](https://agentmods.dev/skills/asaiuta/reverse-workbench-skill/competition-reverse-pwn)
Your own site
<a href="https://agentmods.dev/skills/asaiuta/reverse-workbench-skill/competition-reverse-pwn"><img src="https://agentmods.dev/badge/skills/asaiuta/reverse-workbench-skill/competition-reverse-pwn.svg" alt="Measured on agentmods" 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.
Origin 100% copy Near-identical to another mod 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 7d ago against content hash c8f622721f62, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, 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 7d 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

This is a copy

100% identical to competition-reverse-pwn — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

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. 7d 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 Asaiuta/reverse-workbench-skill (2 stars, last pushed 24d 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. It is 100% identical to competition-reverse-pwn, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

redteam-reverse-detail-pack

Domain routing and boundary guidance for authorized reverse engineering analysis, including decompilation, debugging, protocol reversing, firmware extraction, and deobfuscation. Use when a task belongs to the reverse engineering domain and needs scope, evidence, pivot, or exit criteria.

Netw0rkNoob/VulnClaw · 59 tokens

Reverse Engineering & Binary Analysis

Binary analysis, assembly interpretation, disassembly, decompilation, firmware RE, and protocol reverse engineering.

Masriyan/Claude-Code-CyberSecurity-Skill · 26 tokens

opencrow-reversing-toolbox

Use the best available portable Python runtime and installed reverse-engineering tooling for binary analysis, symbolic execution, disassembly, emulation, and binary patching. Prefer a detected ctf environment. Use when an agent needs angr, claripy, capstone, unicorn, ghidra-headless, radare2, objdump, strace, ltrace…

02loveslollipop/OpenCROW · 102 tokens

reverse-shell-async

Manage one authorized inbound reverse-shell TCP session asynchronously without generating a callback payload. Use for CTF challenges, isolated labs, or systems you own when an agent must listen safely, exchange text or exact bytes, inspect captured output, and stop the named listener without blocking its main workflow.

02loveslollipop/OpenCROW · 61 tokens

opencrow-pwn-toolbox

Use the best available portable Python runtime and installed exploit tooling for binary exploitation and runtime-debugging tasks. Prefer a detected ctf environment. Use when an agent needs pwntools, pwndbg, gdb, checksec, patchelf, qemu-user, pwninit, or other pwn-focused helpers.

02loveslollipop/OpenCROW · 82 tokens

api-errors

McpError constructor, JsonRpcErrorCode reference, and error handling patterns for @cyanheads/mcp-ts-core. Use when looking up error codes, understanding where errors should be thrown vs. caught, or using ErrorHandler.tryCatch in services.

cyanheads/pentest-mcp-server · 54 tokens