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 pashki975/thm-claude-kit --skill network-forensicsgit clone --depth 1 https://github.com/pashki975/thm-claude-kitWrote 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/pashki975/thm-claude-kit/network-forensics)<a href="https://agentmods.dev/skills/pashki975/thm-claude-kit/network-forensics"><img src="https://agentmods.dev/badge/skills/pashki975/thm-claude-kit/network-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/pashki975/thm-claude-kit/network-forensics"><img src="https://agentmods.dev/badge/skills/pashki975/thm-claude-kit/network-forensics.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00117 | $0.01096 |
| Opus 5.5 | $0.00047 | $0.00438 |
| Sonnet 5.5 | $0.00023 | $0.00219 |
| Haiku 4.5 | $0.00012 | $0.00110 |
Grade A, and why
network-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 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.
How it starts
The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Network Forensics Methodology
A capture room is NOT recon→foothold→privesc. You're not attacking a host — you're
reconstructing a story from traffic someone already recorded. The arc is:
load → get the overview → form a hypothesis about the story → follow it → extract the answer.
The /pcap command has the tshark commands; this is how to think about the capture.
0. Classify the capture task first
Read the room text — pcap rooms usually ask for one of these, and which one sets your whole path:
- Find a credential — someone logged in over a cleartext protocol.
- Recover a file / data — something was transferred (HTTP, FTP, SMB, TFTP) or exfiltrated.
- Reconstruct an attack — "what did the attacker do?" scanning, brute force, exploitation, C2.
- Answer specific questions — how many hosts, what OS, which port, what time (forensic quiz).
- Decode exfil / covert channel — data hidden in DNS, ICMP, or an odd protocol. Name the target answer (flag string? a filename? an attacker IP? a count?) so you know when you're done.
1. Load & get the overview (always — cheap and orienting)
Never start by scrolling packets. Get the shape of the capture first:
- Protocol hierarchy — what protocols are even present, and in what proportion.
- Conversations / endpoints — who talked to whom, and the heavy talkers.
- Capture duration and packet count — is this seconds or days? The overview usually tells you where the answer lives. A capture that's 90% HTTP is a web story; one with lots of DNS to one domain smells like tunneling; a burst of SYNs to many ports is a scan. Let the overview pick your branch.
2. Form the hypothesis (say it out loud)
From the overview: "the interesting thing is probably X, because Y." E.g. "creds are probably in that FTP conversation, because FTP is cleartext and there's a USER/PASS exchange." A hypothesis turns 100k packets into one thing to check.
3. Follow the story (branch by task type)
- Credentials → isolate the cleartext-auth protocol (HTTP POST, FTP, Telnet, SMTP, POP, IMAP, SNMP community strings) and read the auth exchange. Follow the specific stream.
- File recovery → export objects (HTTP/SMB/TFTP/FTP-DATA), or follow the transfer stream and
save the raw bytes, then
file/binwalkthem. Carved file → hand to /steg if it's hiding more. - Attack reconstruction → look at timing and volume: many SYNs = port scan; repeated logins = brute force; a shell-looking stream = exploitation/C2. Build a timeline of what happened when.
- Forensic questions → answer each precisely from filters (host count from unique IPs, OS from TTL/User-Agent, first/last timestamps, etc.).
- Covert channel / exfil → DNS with long/odd subdomains = DNS tunneling; ICMP with payloads = ICMP exfil; decode the encoded data (often base32/base64/hex in the query names or payloads).
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.
- 1mo ago First seen · 65 lines · 117 tokens per session scan A ac46e05fd691
network-forensics is a skill published in the GitHub repository pashki975/thm-claude-kit (2 stars, last pushed 2mo ago), licensed MIT. It adds 117 tokens to every session and 1,096 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-08-31.
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