ai-risk-management
Apply the NIST AI Risk Management Framework (AI RMF 1.0) and adjacent guidance to AI / ML systems — model lifecycle governance,…
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,'
$ npx -y skills add briiirussell/cybersecurity-skills --skill incident-triage --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/incident-triageContext preview
The summary Claude sees to decide when to auto-load this skill.
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,'
name: incident-triage description: "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." allowed-tools: Bash, Read, Write, Grep, Glob, WebSearch
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).
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
Determine incident type:
Determine severity:
Based on type and severity:
**Critical: Do NOT power off systems.** Volatile memory contains evidence.
Capture in order of volatility (most volatile first):
# 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.
For each suspicious indicator, document:
Common analysis:
Extract and document all indicators of compromise:
| Type | Examples | |------|---------| | IP addresses | Source and destination IPs | | Domains | C2 domains, phishing domains | | File hashes | MD5 and SHA256 of suspicious files | | File paths | Malware locations, dropped files | | Email addresses | Phishing sender addresses | | URLs | Malicious URLs, C2 endpoints | | User agents | Unusual or known-malicious user agents |
# 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)
A collection of cybersecurity skills for AI coding agents. The AI does the heavy lifting; you bring the context about your stack and your priorities.
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