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Cyber Defense Team

CommunityPopular
FlorianBruniaux
cyber-defense-team

Orchestrate a 4-agent cyber defense pipeline to analyze log files for threats. Use when investigating security logs, detecting anomalies in access patterns, classifying breach severity, or generating incident reports from nginx/auth/syslog files.

Overview

PublisherFlorianBruniaux
Repositoryclaude-code-ultimate-guide
Skill namecyber-defense-team
Stars
6K
Forks
782
Bundled files
Instructions only
LicenseCC-BY-SA-4.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by FlorianBruniaux on GitHub. Read the source before you install it.

Installation

Install the Cyber Defense Team AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/FlorianBruniaux/claude-code-ultimate-guide.git /tmp/claude-code-ultimate-guide
mkdir -p .claude/skills
cp -r /tmp/claude-code-ultimate-guide/examples/skills/cyber-defense-team .claude/skills/cyber-defense-team
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cyber Defense Team in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cyber Defense Team on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cyber Defense Team is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Cyber Defense Team Skill

Orchestrate a 4-agent pipeline that analyzes log files for security threats and produces an incident report.

Pipeline Architecture

[You] -> Team Lead (this skill)
           |
           |-[1]-> log-ingestor    (haiku)  -> cyber-defense-events.json
           |
           |-[2]-> anomaly-detector (sonnet) -> cyber-defense-anomalies.json
           |                                    (reads events.json)
           |-[3]-> risk-classifier  (sonnet) -> cyber-defense-risk.json
           |                                    (reads anomalies.json)
           `-[4]-> threat-reporter  (sonnet) -> cyber-defense-report.md
                                               (reads all 3 JSON files)

Stages 2 and 3 are sequential (each depends on previous output). Stage 4 runs after all data is ready.

Execution Steps

Step 1: Validate Input

Check that the log file exists (or that log content was provided inline). If the path doesn't exist, tell the user immediately and don't proceed.

Step 2: Spawn Log Ingestor

Use the Agent tool to spawn the log-ingestor agent:

Task: Parse the log file at [log_path] and write structured events to cyber-defense-events.json.
Log path: [log_path]

Wait for completion. Confirm cyber-defense-events.json was created.

Step 3: Spawn Anomaly Detector

Use the Agent tool to spawn the anomaly-detector agent:

Task: Read cyber-defense-events.json and detect anomalies. Write results to cyber-defense-anomalies.json.

Wait for completion. If anomalies_found: 0, skip to Step 5 (reporter still runs).

Step 4: Spawn Risk Classifier

Use the Agent tool to spawn the risk-classifier agent:

Task: Read cyber-defense-anomalies.json and classify overall risk. Write result to cyber-defense-risk.json.

Step 5: Spawn Threat Reporter

Use the Agent tool to spawn the threat-reporter agent:

Task: Read cyber-defense-events.json, cyber-defense-anomalies.json, and cyber-defense-risk.json. Generate a complete incident report and save it to cyber-defense-report.md.

Step 6: Summarize for User

Read cyber-defense-risk.json and present:

Analysis complete

Risk Level : HIGH
Score      : 74/100
Threats    : 2 anomalies detected
Report     : cyber-defense-report.md

Primary threat: Brute force attack from 192.168.1.105
Immediate action required: [first recommended_action]

Error Handling

  • Agent fails at step 2: Tell user, stop pipeline, show raw error.
  • Agent fails at step 3+: Show partial results, note which stage failed.
  • Log file not found: "File [path] not found. Provide a valid path or paste log content."

Cost Estimate

StageModelTypical tokens
log-ingestorhaiku~2K
anomaly-detectorsonnet~3K
risk-classifiersonnet~2K
threat-reportersonnet~3K
Total~10K

For large log files (>10K lines), log-ingestor may use up to 20K tokens.

Example Usage

/cyber-defense-team /var/log/nginx/access.log
/cyber-defense-team /tmp/auth.log

Frequently asked questions

What does the Cyber Defense Team AI skill do?

Orchestrate a 4-agent cyber defense pipeline to analyze log files for threats. Use when investigating security logs, detecting anomalies in access patterns, classifying breach severity, or generating incident reports from nginx/auth/syslog files.

Why use Cyber Defense Team on TypingMind?

Because you install it once and use it with any model. Cyber Defense Team is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cyber Defense Team in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/FlorianBruniaux/claude-code-ultimate-guide/tree/main/examples/skills/cyber-defense-team. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cyber Defense Team?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cyber Defense Team?

As many as you like. As long as a model supports skills, you can use Cyber Defense Team with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cyber Defense Team AI skill free?

Yes. It is published on GitHub by FlorianBruniaux under the CC-BY-SA-4.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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