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Incident Triage

Community
briiirussell
incident-triage

Guide rapid triage and initial response to security incidents following NIST SP 800-61 methodology. Use when the user mentions 'incident response,' 'security incident,' 'triage,' 'we've been hacked,' 'breach,' 'compromised,' 'malware detected,' 'suspicious activity,' 'IOC,' 'indicators of compromise,' or needs help handling a security event.

Overview

Publisherbriiirussell
Repositorycybersecurity-skills
Skill nameincident-triage
Stars
429
Forks
60
Bundled files
Instructions only
LicenseMIT
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 briiirussell on GitHub. Read the source before you install it.

Installation

Install the Incident Triage 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.
    https://github.com/briiirussell/cybersecurity-skills/tree/main/skills/incident-triage
  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/briiirussell/cybersecurity-skills.git /tmp/cybersecurity-skills
mkdir -p .claude/skills
cp -r /tmp/cybersecurity-skills/skills/incident-triage .claude/skills/incident-triage
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Incident Triage 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 Incident Triage 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 Incident Triage 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.

Incident Triage — Security Incident Response

Guide rapid triage and initial response to security incidents. Follow NIST SP 800-61 methodology.

Cross-references: siem-detection for the rules that produced the alert this triage is responding to, disk-forensics for deeper disk and memory analysis once a host is contained, breach-patterns for the post-incident pattern extraction that hardens against recurrence, soc-operations for the operational layer above this skill (runbooks, escalation, handoff), security-comms for the stakeholder / customer notifications the response generates, privacy-engineering / hipaa-audit / pci-audit for the regulatory-clock determination when personal data, PHI, or cardholder data is involved, ai-risk-management for AI-specific incident classes (model failure, fairness drift, jailbreak exploitation in production).

Priorities (in order)

  1. Preserve human safety
  2. Contain the incident to prevent further damage
  3. Preserve evidence for investigation
  4. Identify root cause and scope
  5. Document everything

Step 1: Classification

Determine incident type:

  • Malware: ransomware, trojan, worm, cryptominer
  • Unauthorized access: compromised credentials, exploitation
  • Data exfiltration: data theft, insider threat
  • Denial of service
  • Web compromise: defacement, skimming, backdoor
  • Phishing / social engineering

Determine severity:

  • Critical: active data exfiltration, ransomware spreading, critical system compromise
  • High: confirmed compromise, malware detected, unauthorized access
  • Medium: suspicious activity, potential indicators, failed attacks
  • Low: policy violation, reconnaissance detected, likely false positive

Step 2: Initial Containment

Based on type and severity:

  • Network: block suspicious IPs/domains at firewall
  • Host: isolate affected system (network disconnect, NOT power off — volatile memory is evidence)
  • Account: disable compromised accounts, force password resets
  • Application: disable affected service if safe to do so

Critical: Do NOT power off systems. Volatile memory contains evidence.

Step 3: Evidence Preservation

Capture in order of volatility (most volatile first):

bash
# 1. Running processes
ps auxf                         # Linux
tasklist /v                     # Windows

# 2. Network connections
ss -tupn                        # Linux
netstat -anob                   # Windows

# 3. Logged-in users
who -a                          # Linux
query user                      # Windows

# 4. Open files
lsof -nP                        # Linux

# 5. System logs
journalctl --since "1 hour ago" # Linux/systemd

If memory forensics tools are available (LiME, WinPmem), capture a memory dump before anything else.

Step 4: Initial Analysis

For each suspicious indicator, document:

  • What: describe the artifact
  • When: timestamps in UTC
  • Where: affected system(s)
  • How: how it was detected

Common analysis:

  • Process tree: look for unusual process names, paths, or parent-child relationships
  • Network indicators: unusual outbound connections, DNS queries to suspicious domains, beaconing patterns (regular intervals)
  • File indicators: recently modified files in unusual locations, hidden files, new executables
  • Log analysis: authentication failures, privilege escalation, service changes, cleared logs
  • Persistence: crontab, systemd units, registry Run keys, scheduled tasks, startup items

Step 5: IOC Extraction

Extract and document all indicators of compromise:

TypeExamples
IP addressesSource and destination IPs
DomainsC2 domains, phishing domains
File hashesMD5 and SHA256 of suspicious files
File pathsMalware locations, dropped files
Email addressesPhishing sender addresses
URLsMalicious URLs, C2 endpoints
User agentsUnusual or known-malicious user agents

Output Format

markdown
# Incident Triage Report
## Incident ID: [ID]
## Date/Time: [UTC]
## Severity: [Critical/High/Medium/Low]
## Classification: [incident type]
## Status: [Triage/Contained/Analyzing/Resolved]

### Summary
[2-3 sentence overview]

### Affected Systems
| Hostname | IP | Role | Status |
|----------|-----|------|--------|

### Timeline
| Time (UTC) | Event | Source | Notes |
|------------|-------|--------|-------|

### Indicators of Compromise
| Type | Value | Context | Confidence |
|------|-------|---------|------------|

### Containment Actions Taken
- [ ] [Action and result]

### Evidence Preserved
| Type | Location | Hash | Notes |
|------|----------|------|-------|

### Recommended Next Steps
1. [Immediate priority]
2. [Short-term action]
3. [Follow-up investigation]

### Escalation Checklist
- [ ] Management notified
- [ ] Legal notified (if data breach)
- [ ] Law enforcement (if applicable)
- [ ] Affected parties notified (if data breach)

Boundaries

  • Focus on defense and containment, not counter-attack
  • Preserve evidence — never modify logs or timestamps
  • Recommend legal/management escalation for confirmed breaches
  • If unsure about a containment action's impact, advise caution and ask
  • Never recommend "hacking back" or retaliatory actions
  • Refuse requests to cover up incidents or tamper with evidence

References

  • NIST SP 800-61r2: Computer Security Incident Handling Guide
  • SANS Incident Handler's Handbook
  • MITRE ATT&CK Framework

Frequently asked questions

What does the Incident Triage AI skill do?

Guide rapid triage and initial response to security incidents following NIST SP 800-61 methodology. Use when the user mentions 'incident response,' 'security incident,' 'triage,' 'we've been hacked,' 'breach,' 'compromised,' 'malware detected,' 'suspicious activity,' 'IOC,' 'indicators of compromise,' or needs help handling a security event.

Why use Incident Triage on TypingMind?

Because you install it once and use it with any model. Incident Triage 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 Incident Triage in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/briiirussell/cybersecurity-skills/tree/main/skills/incident-triage. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Incident Triage?

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 Incident Triage?

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

Is the Incident Triage AI skill free?

Yes. It is published on GitHub by briiirussell under the MIT 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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