analyzing-network-traffic

analyzing-network-traffic is a skill for Claude Code from trilwu/secskills. It costs 146 tokens per session (5,651 once invoked), scanned A, original, MIT.

A guide to investigating recorded network communications, such as PCAP files, which store packets sent between systems. It turns connections, DNS lookups, encrypted-traffic fingerprints, and transferred data into an incident timeline.

In plain words
What is it for?
Use it to investigate PCAP or PCAPNG files, command-and-control beacons, DNS tunnels, unusual TLS traffic, malware communications, data theft, and alerts from Zeek or Suricata.
Why use it?
It provides evidence from the network even when an endpoint's logs are missing or unreliable. This helps determine who communicated, whether activity was automated, and whether data or malware left the network.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is suricata -r case.pcap -S /etc/suricata/rules/suricata.rules -l ./out/.

Part of the secskills-defense plugin — 22 skills shipped together

Good fit Use it to investigate PCAP or PCAPNG files, command-and-control beacons, DNS tunnels, unusual TLS traffic, malware communications, data theft, and alerts from Zeek or Suricata.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/trilwu/secskills
agentmods
npx agentmods add skills/trilwu/secskills/analyzing-network-traffic

Made for: Claude Code.

Or install secskills-defense, the plugin that ships this one along with the rest of its 22 skills.

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 analyzing-network-traffic

README.md
[![agentmods](https://agentmods.dev/badge/skills/trilwu/secskills/analyzing-network-traffic/github.svg)](https://agentmods.dev/skills/trilwu/secskills/analyzing-network-traffic)
Your own site
<a href="https://agentmods.dev/skills/trilwu/secskills/analyzing-network-traffic"><img src="https://agentmods.dev/badge/skills/trilwu/secskills/analyzing-network-traffic/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 analyzing-network-traffic

Your own site · 80×15
<a href="https://agentmods.dev/skills/trilwu/secskills/analyzing-network-traffic"><img src="https://agentmods.dev/badge/skills/trilwu/secskills/analyzing-network-traffic.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 146 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,651 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Prompt Injection · line 402
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
How audits are shown
Origin original No closer match found 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 $0.00146 $0.05651
Opus 5 $0.00073 $0.02825
Sonnet 5 $0.00029 $0.01130
Haiku 4.5 $0.00015 $0.00565

Measured 9d ago against content hash c4c0992885b5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

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 9d 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

Copies of this mod

1 near-identical copy found in the catalogue:

secskills-defense/skills/analyzing-network-traffic/SKILL.md · 444 lines

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 / .pcapng capture 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.log or Suricata eve.json alert 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"

Read the full file on GitHub · 444 lines

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. 9d ago First seen · 444 lines · 146 tokens per session scan A c4c0992885b5

Subscribe to this mod's changes

analyzing-network-traffic is a skill published in the GitHub repository trilwu/secskills (137 stars, last pushed 4d ago), licensed MIT. 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. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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