suricata-offline-evejson
Running Suricata against PCAPs offline and validating results via eve.json
Install
mkdir -p .claude/skills/suricata-offline-evejson && curl -L -o skill.zip "https://mcp.directory/api/skills/download/6187" && unzip -o skill.zip -d .claude/skills/suricata-offline-evejson && rm skill.zipInstalls to .claude/skills/suricata-offline-evejson
About this skill
Suricata Offline Mode + EVE JSON
This skill covers running Suricata against PCAPs offline and validating results via eve.json.
Run Suricata on a PCAP
Typical offline invocation:
suricata -c /root/suricata.yaml -S /root/local.rules -k none -r /root/sample.pcap -l /tmp/suri
Flags:
-r <pcap>: replay a PCAP offline-S <rules>: load only the specified rules file-l <dir>: log directory (will containeve.json)-k none: ignore checksum issues
Inspect alerts in EVE JSON
Count alerts:
jq -r 'select(.event_type=="alert") | .alert.signature_id' /tmp/suri/eve.json | wc -l
See alert ids and messages:
jq -r 'select(.event_type=="alert") | [.alert.signature_id,.alert.signature] | @tsv' /tmp/suri/eve.json
Practical tips
- Always check Suricata exits cleanly (no rule parse errors).
- Use a fresh
-ldirectory per run to avoid mixing logs. - Ensure your rule triggers only on the intended traffic by testing positive and negative PCAPs.
Tight feedback loop (recommended)
When iterating on /root/local.rules, use this loop:
# 1) Validate rule syntax
suricata -T -c /root/suricata.yaml -S /root/local.rules
# 2) Run on known-positive traffic
suricata -c /root/suricata.yaml -S /root/local.rules -k none -r /root/pcaps/train_pos.pcap -l /tmp/suri-pos
jq -r 'select(.event_type=="alert") | .alert.signature_id' /tmp/suri-pos/eve.json | sort -n | uniq -c
# 3) Run on known-negative traffic
suricata -c /root/suricata.yaml -S /root/local.rules -k none -r /root/pcaps/train_neg.pcap -l /tmp/suri-neg
jq -r 'select(.event_type=="alert") | .alert.signature_id' /tmp/suri-neg/eve.json | sort -n | uniq -c
If you prefer a one-command summary, see scripts/run_suricata_offline.sh in this skill folder.
More by benchflow-ai
View all skills by benchflow-ai →You might also like
flutter-development
aj-geddes
Build beautiful cross-platform mobile apps with Flutter and Dart. Covers widgets, state management with Provider/BLoC, navigation, API integration, and material design.
drawio-diagrams-enhanced
jgtolentino
Create professional draw.io (diagrams.net) diagrams in XML format (.drawio files) with integrated PMP/PMBOK methodologies, extensive visual asset libraries, and industry-standard professional templates. Use this skill when users ask to create flowcharts, swimlane diagrams, cross-functional flowcharts, org charts, network diagrams, UML diagrams, BPMN, project management diagrams (WBS, Gantt, PERT, RACI), risk matrices, stakeholder maps, or any other visual diagram in draw.io format. This skill includes access to custom shape libraries for icons, clipart, and professional symbols.
ui-ux-pro-max
nextlevelbuilder
"UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient."
godot
bfollington
This skill should be used when working on Godot Engine projects. It provides specialized knowledge of Godot's file formats (.gd, .tscn, .tres), architecture patterns (component-based, signal-driven, resource-based), common pitfalls, validation tools, code templates, and CLI workflows. The `godot` command is available for running the game, validating scripts, importing resources, and exporting builds. Use this skill for tasks involving Godot game development, debugging scene/resource files, implementing game systems, or creating new Godot components.
nano-banana-pro
garg-aayush
Generate and edit images using Google's Nano Banana Pro (Gemini 3 Pro Image) API. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports both text-to-image generation and image-to-image editing with configurable resolution (1K default, 2K, or 4K for high resolution). DO NOT read the image file first - use this skill directly with the --input-image parameter.
fastapi-templates
wshobson
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
Related MCP Servers
Browse all serversLogfire is a data observability platform for querying, analyzing, and monitoring OpenTelemetry traces, errors, and metri
Validate Oh My Posh theme configurations quickly and reliably against the official schema to ensure error-free prompts a
Arize Phoenix — unified interface for managing prompts, exploring datasets, and running LLM experiments across providers
Desktop Commander MCP unifies code management with advanced source control, git, and svn support—streamlining developmen
XcodeBuild streamlines iOS app development for Apple developers with tools for building, debugging, and deploying iOS an
Cloudflare Container Sandbox lets your MCP client run secure, sandboxed LLM code in Node or Python. Run code safely in t
Stay ahead of the MCP ecosystem
Get weekly updates on new skills and servers.