traffic-analysis
Analyze Network Traffic and Bandwidth Use
Network teams need a fast way to understand bandwidth use and application mix. This skill guides Claude, Codex, and Claude Code through DPI, client, and device traffic analysis workflows.
Install with my Agent
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Review the Skillstore skill "traffic-analysis" from https://skillstore.io/skills/dataknifeai-traffic-analysis.md and its manifest at https://skillstore.io/api/skills/dataknifeai-traffic-analysis/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "traffic-analysis". What applications are using the most bandwidth?
Expected outcome:
- Streaming media is the largest category during the review window.
- Business collaboration traffic is the second largest category.
- Review QoS rules for streaming traffic during business hours.
Using "traffic-analysis". Show top bandwidth-consuming clients and recommend actions.
Expected outcome:
The report ranks clients by bandwidth use, highlights unusual consumers, and suggests policy checks for the highest usage devices.
Using "traffic-analysis". Identify likely congestion causes from device and client stats.
Expected outcome:
The analysis compares throughput, client demand, and DPI categories, then lists the most likely bottlenecks with supporting evidence.
Security Audit
SafeThe static findings are false positives caused by Markdown backticks around documented tool names in SKILL.md. I found no evidence of shell execution, prompt injection, data exfiltration, or unsafe instructions in the reviewed file.
Risk Factors
⚙️ External commands (9)
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<a href="https://skillstore.io/skills/dataknifeai-traffic-analysis?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dataknifeai-traffic-analysis/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Embed card
<iframe src="https://skillstore.io/embed/skills/dataknifeai-traffic-analysis.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA · BibTeX · CFF)
APA citation
DataKnifeAI. (2026). traffic-analysis security audit report (audit version 9) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dataknifeai-traffic-analysis/audits/9BibTeX citation
@techreport{dataknifeai-dataknifeai-traffic-analysis-2026,
author = {DataKnifeAI},
title = {traffic-analysis security audit report (audit version 9)},
institution = {Skillstore},
year = {2026},
number = {9},
url = {https://skillstore.io/skills/dataknifeai-traffic-analysis/audits/9},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "traffic-analysis security audit report (audit version 9)"
version: "unspecified"
type: report
authors:
- name: "DataKnifeAI"
date-released: "2026-07-06"
url: "https://skillstore.io/skills/dataknifeai-traffic-analysis/audits/9"
identifiers:
- type: other
value: "skillstore:dataknifeai-traffic-analysis:audit:9"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Find Bandwidth Hotspots
Identify top clients and application categories before changing traffic policies.
Plan Capacity Upgrades
Create concise traffic reports for bandwidth planning and upgrade decisions.
Troubleshoot Slow Networks
Compare device throughput, client demand, and application categories to isolate congestion causes.
Try These Prompts
Analyze current DPI categories and summarize which application types use the most bandwidth.
Use client statistics to identify the top bandwidth consumers and explain likely causes.
Compare device throughput, client bandwidth, and DPI categories to identify likely congestion sources.
Build a traffic management plan using DPI categories, top clients, and observed throughput trends.
Best Practices
- Review traffic at consistent times before comparing trends.
- Correlate DPI categories with client and device statistics.
- Document each QoS recommendation with the traffic evidence used.
Avoid
- Do not make policy changes from a single short traffic sample.
- Do not treat DPI labels as proof of user intent.
- Do not ignore device throughput when diagnosing client complaints.
Frequently Asked Questions
Does this skill inspect packet payloads?
Can it change QoS settings automatically?
Which tools does it expect?
Can Codex use this skill?
What data quality does it need?
Is it useful for capacity planning?
Developer Details
Author
DataKnifeAILicense
MIT
Skillstore revision
r1
Version notice
The author did not declare a version.
Repository
https://github.com/DataKnifeAI/unifi-network-mcp/tree/main/.github/skills/traffic-analysisRef
34f316ba14ef36c7a620fc09f2676d2429997a77
Maintenance freshness
7/20/2026
Usage
4 downloads · 185 views
File structure
📄 SKILL.md