Wireshark Analysis
zebbern/claude-code-guide
This skill should be used when the user asks to "analyze network traffic with Wireshark", "capture packets for troubleshooting", "filter PCAP files", "follow TCP/UDP streams", "detect network…
Agent skill
Performing Network Traffic Analysis With Tshark
Automate network traffic analysis using tshark (Wireshark CLI) and pyshark to compute protocol distribution statistics, detect suspicious flows such as port scans and beaconing, extract IOCs (IPs…
Install Performing Network Traffic Analysis With Tshark
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-network-traffic-analysis-with-tshark -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-network-traffic-analysis-with-tshark --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/performing-network-traffic-analysis-with-tshark .claude/skills/performing-network-traffic-analysis-with-tshark && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "performing-network-traffic-analysis-with-tshark" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-network-traffic-analysis-with-tshark into .claude/skills/performing-network-traffic-analysis-with-tshark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-network-traffic-analysis-with-tshark", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-network-traffic-analysis-with-tsharkType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-network-traffic-analysis-with-tshark -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-network-traffic-analysis-with-tshark --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/performing-network-traffic-analysis-with-tshark .agents/skills/performing-network-traffic-analysis-with-tshark && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "performing-network-traffic-analysis-with-tshark" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-network-traffic-analysis-with-tshark into .agents/skills/performing-network-traffic-analysis-with-tshark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-network-traffic-analysis-with-tshark", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-network-traffic-analysis-with-tshark -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-network-traffic-analysis-with-tshark --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/performing-network-traffic-analysis-with-tshark .cursor/skills/performing-network-traffic-analysis-with-tshark && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "performing-network-traffic-analysis-with-tshark" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-network-traffic-analysis-with-tshark into .cursor/skills/performing-network-traffic-analysis-with-tshark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-network-traffic-analysis-with-tshark", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git --path skills/performing-network-traffic-analysis-with-tshark--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-network-traffic-analysis-with-tshark -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-network-traffic-analysis-with-tshark --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/performing-network-traffic-analysis-with-tshark .gemini/skills/performing-network-traffic-analysis-with-tshark && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "performing-network-traffic-analysis-with-tshark" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-network-traffic-analysis-with-tshark into .gemini/skills/performing-network-traffic-analysis-with-tshark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-network-traffic-analysis-with-tshark", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-network-traffic-analysis-with-tsharkInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-network-traffic-analysis-with-tshark -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/performing-network-traffic-analysis-with-tshark .github/skills/performing-network-traffic-analysis-with-tshark && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "performing-network-traffic-analysis-with-tshark" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-network-traffic-analysis-with-tshark into .github/skills/performing-network-traffic-analysis-with-tshark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-network-traffic-analysis-with-tshark", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-network-traffic-analysis-with-tshark -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-network-traffic-analysis-with-tshark --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/performing-network-traffic-analysis-with-tshark .opencode/skills/performing-network-traffic-analysis-with-tshark && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "performing-network-traffic-analysis-with-tshark" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-network-traffic-analysis-with-tshark into .opencode/skills/performing-network-traffic-analysis-with-tshark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-network-traffic-analysis-with-tshark", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
performing-network-traffic-analysis-with-tshark- GitHub stars
- 34k
- Token cost
- ~610 tokens
- SKILL.md length
- 216 words
- Files
- 4 (incl. scripts, references)
- Skills in repo
- 644
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Automate network traffic analysis using tshark (Wireshark CLI) and pyshark to compute protocol distribution statistics, detect suspicious flows such as port scans and beaconing, extract IOCs (IPs…
- Works in 6 steps: Extract Protocol Statistics — Generate… → Identify Top Talkers — Rank… → Detect Suspicious Flows — Flag port… → …
- Repeatable analysis of packet captures is needed rather than interactive inspection
- SKILL.md covers Overview, When to Use, Prerequisites and Steps, plus 1 more section
- Runs Python scripts from its folder
What it does
Performing Network Traffic Analysis With Tshark is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Automate network traffic analysis using tshark (Wireshark CLI) and pyshark to compute protocol distribution statistics, detect suspicious flows such as port scans and beaconing, extract IOCs (IPs, domains, URLs), and identify DNS tunneling patterns from PCAP files. Use when scripted or repeatable analysis of packet captures is needed rather than interactive inspection.
Its SKILL.md is about 610 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api-reference.md` and `scripts/agent.py`).
It sits in Security, covering Network security and Statistics. It works with Wireshark. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.
When your agent uses it
- Repeatable analysis of packet captures is needed rather than interactive inspection
- Tasks that involve Network security
- Tasks that involve Statistics
Example prompts
- “/performing-network-traffic-analysis-with-tshark”
Requirements
- Python 3
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Extract Protocol Statistics — Generate protocol hierarchy and conversation statistics from the capture
- Identify Top Talkers — Rank source/destination IPs by volume and connection count
- Detect Suspicious Flows — Flag port scanning patterns, unusual port usage, and high-frequency connections
- Extract Network IOCs — Pull unique IPs, domains from DNS queries, and URLs from HTTP traffic
- Analyze DNS Traffic — Detect DNS tunneling via high-entropy subdomain queries and excessive TXT records
- Generate Analysis Report — Produce structured report with flow summaries and threat indicators
What it can do on your machine
Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Performing Network Traffic Analysis With Tshark loads about 610 tokens when it runs, and up to ~1.1k if it reads all its reference files. Until then it costs about 105 tokens; SKILL.md has 216 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 216 words, ~610 tokens.
Download SKILL.mdSave it as
.claude/skills/performing-network-traffic-analysis-with-tshark/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- performing-network-traffic-analysis-with-tshark
- description
- Automate network traffic analysis using tshark (Wireshark CLI) and pyshark to compute protocol distribution statistics, detect suspicious flows such as port scans and beaconing, extract IOCs (IPs, domains, URLs), and identify DNS tunneling patterns from PCAP files. Use when scripted or repeatable analysis of packet captures is needed rather than interactive inspection.
- domain
- cybersecurity
- subdomain
- network-security
- tags
- tshark, pyshark, pcap, packet-analysis, network-forensics, wireshark, traffic-analysis
- version
- 1.0
- author
- mahipal
- license
- Apache-2.0
- nist_csf
- PR.IR-01, DE.CM-01, ID.AM-03, PR.DS-02
- mitre_attack
- T1046, T1040, T1557, T1071, T1005
Performing Network Traffic Analysis with TShark
Overview
This skill automates packet capture analysis using tshark (Wireshark CLI) and pyshark (Python wrapper). It extracts protocol distribution statistics, identifies suspicious network flows (port scans, beaconing, data exfiltration), extracts IOCs (IPs, domains, URLs), and detects DNS tunneling patterns from PCAP files.
When to Use
- When conducting security assessments that involve performing network traffic analysis with tshark
- When following incident response procedures for related security events
- When performing scheduled security testing or auditing activities
- When validating security controls through hands-on testing
Prerequisites
- tshark (Wireshark CLI) installed and in PATH
- Python 3.8+ with pyshark library
- PCAP or PCAPNG capture file for analysis
Steps
- Extract Protocol Statistics — Generate protocol hierarchy and conversation statistics from the capture
- Identify Top Talkers — Rank source/destination IPs by volume and connection count
- Detect Suspicious Flows — Flag port scanning patterns, unusual port usage, and high-frequency connections
- Extract Network IOCs — Pull unique IPs, domains from DNS queries, and URLs from HTTP traffic
- Analyze DNS Traffic — Detect DNS tunneling via high-entropy subdomain queries and excessive TXT records
- Generate Analysis Report — Produce structured report with flow summaries and threat indicators
Expected Output
- JSON report with protocol statistics and top talkers
- Suspicious flow detections with severity ratings
- Extracted IOCs (IPs, domains, URLs)
- DNS anomaly analysis results
© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 3 other files (scripts, references) in skills/performing-network-traffic-analysis-with-tshark of mukul975/Anthropic-Cybersecurity-Skills.
- SKILL.md
- LICENSE
- references/api-reference.md
- scripts/agent.py
Open the folder on GitHubat commit 54a7988
Compare with similar skills
Performing Network Traffic Analysis With Tshark next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Performing Network Traffic Analysis With Tshark this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~610 | Automated safety check: Pass | Apache-2.0 | |
| Wireshark Analysiszebbern/claude-code-guide | 4.7k | 8 repos | ~3k | Automated safety check: Pass | MIT | |
| IotnetBrownFineSecurity/iothackbot | 859 | 1 repos | ~1k | Automated safety check: Notes | MIT | |
| Netzhinkgit/embeddedskills | 734 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Network Packet Labmingchen666/Reviva | 244 | — | ~657 | Automated safety check: Pass | None | |
| Traffic Analysis Pcapyaklang/hack-skills | 2.4k | — | ~2.8k | Automated safety check: Notes | MIT |
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Related
Works with
Categories
Questions about Performing Network Traffic Analysis With Tshark
What does Performing Network Traffic Analysis With Tshark do?
Automate network traffic analysis using tshark (Wireshark CLI) and pyshark to compute protocol distribution statistics, detect suspicious flows such as port scans and beaconing, extract IOCs (IPs…. Performing Network Traffic Analysis With Tshark is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Automate network traffic analysis using tshark (Wireshark CLI) and pyshark to compute protocol distribution statistics, detect suspicious flows such as port scans and beaconing, extract IOCs (IPs, domains, URLs), and identify DNS tunneling patterns from PCAP files.
When should I use Performing Network Traffic Analysis With Tshark?
Performing Network Traffic Analysis With Tshark fits situations like: repeatable analysis of packet captures is needed rather than interactive inspection; tasks that involve Network security; tasks that involve Statistics.
How do I install Performing Network Traffic Analysis With Tshark in Claude Code?
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-network-traffic-analysis-with-tshark -a claude-code`. Or copy the skill folder (skills/performing-network-traffic-analysis-with-tshark in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/performing-network-traffic-analysis-with-tshark in your project. Claude Code loads it when a task matches its description.
How do I install Performing Network Traffic Analysis With Tshark in Codex?
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-network-traffic-analysis-with-tshark -a codex`. Or copy the skill folder (skills/performing-network-traffic-analysis-with-tshark in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/performing-network-traffic-analysis-with-tshark in your project. Codex loads it when a task matches its description.
Can I use Performing Network Traffic Analysis With Tshark in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-network-traffic-analysis-with-tshark -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/performing-network-traffic-analysis-with-tshark, .gemini/skills/performing-network-traffic-analysis-with-tshark, .github/skills/performing-network-traffic-analysis-with-tshark and .opencode/skills/performing-network-traffic-analysis-with-tshark in your project.
What does Performing Network Traffic Analysis With Tshark need to run?
Going by SKILL.md and its folder, Performing Network Traffic Analysis With Tshark needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Performing Network Traffic Analysis With Tshark access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Performing Network Traffic Analysis With Tshark safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Performing Network Traffic Analysis With Tshark use?
Performing Network Traffic Analysis With Tshark is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Performing Network Traffic Analysis With Tshark use?
About 610 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 530 tokens, read only when the agent opens those files.
What are the alternatives to Performing Network Traffic Analysis With Tshark?
Skills that share tags, products or a category with Performing Network Traffic Analysis With Tshark: Wireshark Analysis (zebbern/claude-code-guide, 4.7k stars), Iotnet (BrownFineSecurity/iothackbot, 859 stars), Net (zhinkgit/embeddedskills, 734 stars) and Network Packet Lab (mingchen666/Reviva, 244 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Performing Network Traffic Analysis With Tshark?
mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 34,116 GitHub stars. The repository holds 644 skills in this directory. The repository was last updated on August 31, 2026.
Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.