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 26zl/cybersec-toolkit --skill ctf-forensicsgit clone --depth 1 https://github.com/26zl/cybersec-toolkitWrote 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/26zl/cybersec-toolkit/ctf-forensics)<a href="https://agentmods.dev/skills/26zl/cybersec-toolkit/ctf-forensics"><img src="https://agentmods.dev/badge/skills/26zl/cybersec-toolkit/ctf-forensics/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/26zl/cybersec-toolkit/ctf-forensics"><img src="https://agentmods.dev/badge/skills/26zl/cybersec-toolkit/ctf-forensics.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 | $0.00071 | $0.01271 |
| Opus 5 | $0.00036 | $0.00635 |
| Sonnet 5 | $0.00014 | $0.00254 |
| Haiku 4.5 | $0.00007 | $0.00127 |
Grade A, and why
ctf-forensics 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CTF forensics methodology
1. Identify the input
file <input>
xxd <input> | head -20
| Magic | Type | First tool |
|---|---|---|
7F 45 4C 46 |
ELF | use ctf-rev skill |
4D 5A |
PE | use ctf-rev skill |
| PK | ZIP/JAR/APK/Office | unzip -l, binwalk |
D4 C3 B2 A1 / 0A 0D 0D 0A |
PCAP / pcapng | wireshark |
4D 53 53 54 30 30 30 |
Volatility memory raw | volatility |
45 56 46 |
EWF / E01 image | ewfmount |
| Arbitrary blob, high entropy | Encrypted/compressed | binwalk / strings |
2. PCAP analysis
# Quick triage
capinfos <pcap> # summary
tshark -r <pcap> -q -z io,phs # protocol hierarchy
tshark -r <pcap> -q -z conv,tcp # TCP conversations
tshark -r <pcap> -q -z http,tree # HTTP requests
# Extract objects
tshark -r <pcap> --export-objects http,./out
foremost -i <pcap> -o ./carved
# Wireshark for visual: File → Export Objects → HTTP/SMB/etc
# Search payloads
tshark -r <pcap> -Y 'http.request.method == "POST"' -T fields -e http.file_data
USB HID keystroke decode (common challenge):
- Filter
usb.capdatain tshark - Map HID scancodes → keys (script:
usbkeyboard.py,usbrip)
Bluetooth: btsnoop parser, wireshark natively decodes.
TLS with key log: tshark -r <pcap> -o tls.keylog_file:keys.log to decrypt.
3. Memory forensics (Volatility)
# Identify profile (vol2) or no profile needed (vol3)
vol.py -f mem.raw imageinfo # vol2
vol3 -f mem.raw windows.info # vol3
# Common plugins
vol3 -f mem.raw windows.pslist
vol3 -f mem.raw windows.cmdline
vol3 -f mem.raw windows.netstat
vol3 -f mem.raw windows.malfind
vol3 -f mem.raw windows.dumpfiles --pid <pid>
vol3 -f mem.raw windows.hashdump
vol3 -f mem.raw windows.lsadump
vol3 -f mem.raw windows.consoles # cmd.exe history
vol3 -f mem.raw windows.clipboard
vol3 -f mem.raw windows.registry.printkey -K "Software\Microsoft\Windows\CurrentVersion\Run"
# Linux
vol3 -f mem.raw linux.bash # bash history
vol3 -f mem.raw linux.psaux
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.
- 6d ago First seen · 136 lines · 71 tokens per session scan A 809f9666bd40
ctf-forensics is a skill published in the GitHub repository 26zl/cybersec-toolkit (52 stars, last pushed today), licensed MIT. It adds 71 tokens to every session and 1,271 once invoked, about $0.0004 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 2026-09-03.
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