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 agentmods add skills/dailyyarn/ctf-agent/ctf-malwarenpx skills add dailyyarn/CTF-agent --skill ctf-malwaregit clone --depth 1 https://github.com/dailyyarn/CTF-agentWrote 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/dailyyarn/ctf-agent/ctf-malware)<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="Measured on agentmods" height="20"></a>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 | $0.00101 | $0.01695 |
| Opus 5 | $0.00051 | $0.00847 |
| Sonnet 5 | $0.00020 | $0.00339 |
| Haiku 4.5 | $0.00010 | $0.00169 |
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 5d 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.
This is a copy
94% identical to ctf-malware — 57 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.
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/bashwithechoto print underlying code; extract base64/hex blobs and analyze withfile. See scripts-and-obfuscation.md.
JavaScript & PowerShell Deobfuscation
- JS: Replace
evalwithconsole.log, decodeunescape(),atob(),String.fromCharCode(). - PowerShell: Decode
-encbase64, replaceIEXwith 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
calltargets. 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.
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.
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.
- 5d ago First seen · 125 lines · 101 tokens per session scan A 09db40471d4c
ctf-malware is a skill published in the GitHub repository dailyyarn/CTF-agent (5 stars, last pushed 5mo ago), licensed MIT. It adds 101 tokens to every session and 1,695 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to ctf-malware, differing in 57 lines, and is treated as a copy.
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