ctf-malware

ctf-malware is a skill for Claude Code from dailyyarn/CTF-agent. It costs 101 tokens per session (1,695 once invoked), scanned A, a copy of ctf-malware, MIT.

A reference guide for analysing malware and suspicious network traffic in capture-the-flag (CTF) competitions. It covers malicious scripts, packages, programs, encrypted communications, memory, and captured network data.

In plain words
What is it for?
Use it to deobfuscate scripts, inspect Windows and .NET programs, analyse command-and-control traffic, extract malware configurations, write YARA rules, and examine memory or packet captures.
Why use it?
It helps you break down obfuscated code and identify how suspicious software communicates or hides its behaviour.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions Claude Code.

Good fit Use it to deobfuscate scripts, inspect Windows and .NET programs, analyse command-and-control traffic, extract malware configurations, write YARA rules, and examine memory or packet captures.

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Install with agentmods
npx agentmods add skills/dailyyarn/ctf-agent/ctf-malware
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 dailyyarn/CTF-agent --skill ctf-malware
Clone the repo
git clone --depth 1 https://github.com/dailyyarn/CTF-agent

Made for: Claude Code.

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 ctf-malware

README.md
[![agentmods](https://agentmods.dev/badge/skills/dailyyarn/ctf-agent/ctf-malware/github.svg)](https://agentmods.dev/skills/dailyyarn/ctf-agent/ctf-malware)
Your own site
<a href="https://agentmods.dev/skills/dailyyarn/ctf-agent/ctf-malware"><img src="https://agentmods.dev/badge/skills/dailyyarn/ctf-agent/ctf-malware/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 ctf-malware

Your own site · 80×15
<a href="https://agentmods.dev/skills/dailyyarn/ctf-agent/ctf-malware"><img src="https://agentmods.dev/badge/skills/dailyyarn/ctf-agent/ctf-malware.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,695 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 94% 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 $0.00101 $0.01695
Opus 5.5 $0.00040 $0.00678
Sonnet 5.5 $0.00020 $0.00339
Haiku 4.5 $0.00010 $0.00169

Measured 1mo ago against content hash 09db40471d4c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ctf-malware 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.

Origin

This is a copy

94% identical to ctf-malware — 63 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_agent/knowledge/embedded_ctf_skills/ctf-malware/SKILL.md · 125 lines

How it starts

The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CTF Malware & Network Analysis

Quick reference for malware analysis CTF challenges. Each technique has a one-liner here; see supporting files for full details with code.

Additional Resources

  • scripts-and-obfuscation.md - JavaScript deobfuscation, PowerShell analysis, eval/base64 decoding, junk code detection, hex payloads, Debian package analysis, dynamic analysis techniques (strace/ltrace, network monitoring, memory string extraction, automated sandbox execution), YARA rules for malware detection, shellcode analysis (Unicorn Engine, Capstone), memory forensics for malware (Volatility 3 malfind, process injection detection), anti-analysis techniques (VM detection, timing evasion, API hashing, process injection)
  • c2-and-protocols.md - C2 traffic patterns, custom crypto protocols, RC4 WebSocket, DNS-based C2, network indicators, PCAP analysis, AES-CBC, encryption ID, Telegram bot recovery, Poison Ivy RAT Camellia decryption
  • pe-and-dotnet.md - PE analysis (peframe, pe-sieve, pestudio), .NET analysis (dnSpy, AsmResolver), LimeRAT extraction, sandbox evasion, malware config extraction, PyInstaller+PyArmor

Obfuscated Scripts

  • Replace eval/bash with echo to print underlying code; extract base64/hex blobs and analyze with file. See scripts-and-obfuscation.md.

JavaScript & PowerShell Deobfuscation

  • JS: Replace eval with console.log, decode unescape(), atob(), String.fromCharCode().
  • PowerShell: Decode -enc base64, replace IEX with output. See scripts-and-obfuscation.md.

Junk Code Detection

  • NOP sleds, push/pop pairs, dead writes, unconditional jumps to next instruction. Filter to extract real call targets. See scripts-and-obfuscation.md.

PCAP & Network Analysis

tshark -r file.pcap -Y "tcp.stream eq X" -T fields -e tcp.payload

Look for C2 on unusual ports. Extract IPs/domains with strings | grep. See c2-and-protocols.md.

Read the full file on GitHub · 125 lines

Files

What ships with it

3 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. 1mo ago First seen · 125 lines · 101 tokens per session scan A 09db40471d4c

Subscribe to this mod's changes

ctf-malware is a skill published in the GitHub repository dailyyarn/CTF-agent (7 stars, last pushed 6mo ago), licensed MIT. It adds 101 tokens to every session and 1,695 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 94% identical to ctf-malware, differing in 63 lines, and is treated as a copy.

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