analyzing-network-flow-data-with-netflow SKILL.md skillA
analyzing-network-flow-data-with-netflow from andycungkrinx91/konoha is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add andycungkrinx91/konoha/analyzing-network-flow-data-with-netflow@v1.0Pins v1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- andycungkrinx91/konoha
- Path
src/templates/skills/akatsuki-skill/references/anthropic-cybersecurity-skills-assets/skills/analyzing-network-flow-data-with-netflow/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0, committed Oct 25, 2026
- Size
- 2,172 bytes
- Repository stars
- 15
- License
- MIT
Parse NetFlow v9 and IPFIX records to detect volumetric anomalies, port.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Analyzing Network Flow Data with Netflow ## When to Use - When investigating security incidents that require analyzing network flow data with netflow - When building detection rules or threat hunting queries for this domain - When SOC analysts need structured procedures for this analysis type - When validating security monitoring coverage for related attack techniques ## Prerequisites - Familiarity with network security concepts and tools - Access to a test or lab environment for safe execution - Python 3.8+ with required dependencies installed - Appropriate authorization for any testing activities ## Instructions 1. Install dependencies: `pip install netflow` 2. Collect NetFlow/IPFIX data from routers or use the built-in collector: `python -m netflow.collector -p 9995` 3. Parse captured flow data using `netflow.parse_packet()`. 4. Analyze flows for: - Port scanning: single source to many destinations on same port - Data exfiltration: high byte-count outbound flows to unusual destinations - C2 beaconing: periodic connections with consistent intervals - Volumetric anomalies: traffic spikes beyond baseline thresholds 5. Generate a prioritized findings report. …
Read the whole file at its exact version.
How to install
mdr add andycungkrinx91/konoha/analyzing-network-flow-data-with-netflow@sha256:7b6478574765d594The line at the top of this page pins the label v1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_r6kei6i6quuancq6)
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Versions
The registry has recorded 1 version of this file, committed on Oct 25, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (2172 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
andycungkrinx91/konoha · 15 stars · license MIT · pushed 2026-11-01 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_r6kei6i6quuancq6 GET https://markdownregistry.com/api/v1/resolve?ref=andycungkrinx91/konoha/analyzing-network-flow-data-with-netflow GET https://markdownregistry.com/api/v1/blob/7b6478574765d594a9d6afec89be21abfedb41dac8bf45e5032f3a17e207f8e6
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.