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/evilfreelancer/secs/analyzing-network-trafficnpx skills add EvilFreelancer/secs --skill analyzing-network-trafficgit clone --depth 1 https://github.com/EvilFreelancer/secsWrote 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/evilfreelancer/secs/analyzing-network-traffic)<a href="https://agentmods.dev/skills/evilfreelancer/secs/analyzing-network-traffic"><img src="https://agentmods.dev/badge/skills/evilfreelancer/secs/analyzing-network-traffic.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 | $0.00146 | $0.05651 |
| Opus 5 | $0.00073 | $0.02825 |
| Sonnet 5 | $0.00029 | $0.01130 |
| Haiku 4.5 | $0.00015 | $0.00565 |
Grade A, and why
analyzing-network-traffic 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 4d 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
100% identical to analyzing-network-traffic — 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.
How it starts
The opening of the file, as written. The whole thing — 444 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyzing Network Traffic
Packet capture is ground truth the endpoint can lie about but the wire cannot: every connection, DNS lookup, and byte transferred is recorded, whether or not the host's logs survived. The analysis is turning a flat capture into a story — who talked to whom, over what protocol, whether the pattern was human or automated, and what left the network. You are reconstructing intent from frames, not reading a verdict off a tool.
When to Use
- A
.pcap/.pcapngcapture needs forensic review for intrusion evidence - A suspected C2 beacon must be confirmed and its interval, jitter, and channel characterized
- Data exfiltration is suspected and you need to size it, time it, and name the destination
- Malware network behaviour must be documented from the traffic it actually emitted
- A Zeek
notice.logor Suricataeve.jsonalert needs to be run down to a verdict - DNS tunneling, a DGA, or anomalous TLS (odd certs, rare JA3, SNI mismatch) is suspected
When NOT to Use
- Proactively sweeping endpoint, network, cloud, and identity telemetry for
undetected compromise — use
hunting-threats; this skill dissects one capture, a hunt spans data sources - Running the wider incident — use
responding-to-incidents; traffic analysis is one evidence stream feeding that process - Detonating a sample to produce the traffic — use
analyzing-malware; come here to analyze the pcap it emitted, not to run the binary - The evidence is cloud control-plane activity, not packets (CloudTrail,
VPC flow gaps, API calls) — use
investigating-aws-incidents - Actively testing a live application rather than analyzing a capture of
it — use
testing-web-applications
Capture and Handling
Get the capture right or every later step inherits the gap. A truncated snaplen or a dropped-packet capture cannot be fixed after the fact.
# Full-frame capture, no name resolution, write to disk (never parse live)
tcpdump -i eth0 -nn -s 0 -w case.pcap
# -s 0 takes full frames; a default snaplen truncates payloads and breaks carving
# Ring buffer for long-running capture: 20 files of 200 MB, oldest recycled
tcpdump -i eth0 -nn -s 0 -w case-%Y%m%d-%H%M%S.pcap -G 3600 -C 200 -W 20
# Capture without dropping under load: raise the kernel buffer, filter tightly
tcpdump -i eth0 -nn -s 0 -B 4096 'not port 22' -w case.pcap
# Confirm drops after: the summary line reports "packets dropped by kernel"
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.
- 4d ago First seen · 444 lines · 146 tokens per session scan A c4c0992885b5
analyzing-network-traffic is a skill published in the GitHub repository EvilFreelancer/secs (10 stars, last pushed 25d ago), licensed Apache-2.0. It adds 146 tokens to every session and 5,651 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to analyzing-network-traffic, differing in 0 lines, and is treated as a copy.
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