Agent skill · Security

incident-response

Use when a security incident has been detected or declared and needs classification, triage, escalation path determination, and forensic evidence collection. Covers SEV1-SEV4 classification, false positive filtering, incident taxonomy, and NIST SP 800-61 lifecycle.

Alireza Rezvani23,369★ · +428/wk · 1 repos on radarProfile →
claude-codecodexcursorships scriptsMIT
Install
npx skills add alirezarezvani/claude-skills --skill incident-response --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 15 KB
Bundled scripts: yes
Path: engineering-team/skills/incident-response/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 23,791 · +422 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Incident Response Incident response skill for the full lifecycle from initial triage through forensic collection, severity declaration, and escalation routing. This is NOT threat hunting (see threat-detection) or post-incident compliance mapping (see governance/compliance-mapping) — this is about classifying, triaging, and managing declared security incidents. --- ## Table of Contents - [Overview](#overview) - [Incident Triage Tool](#incident-triage-tool) - [Incident Classification](#incident-classification) - [Severity Framework](#severity-framework) - [False Positive Filtering](#false-positive-filtering) - [Forensic Evidence Collection](#forensic-evidence-collection) - [Escalation Paths](#escalation-paths) - [Regulatory Notification Obligations](#regulatory-notification-obligations) - [Workflows](#workflows) - [Anti-Patterns](#anti-patterns) - [Cross-References](#cross-references) --- ## Overview ### What This Skill Does This skill provides the methodology and tooling for **incident triage and response** — classifying security events into typed incidents, scoring severity, filtering false positives, determining escalation paths, and initiating forensic evidence collection under

What's inside
Steps it walks through
  1. Table of Contents
  2. Overview
  3. What This Skill Does
  4. Distinction from Other Security Skills
  5. Prerequisites
  6. Incident Triage Tool
  7. Input Event Schema
  8. Exit Codes
  9. Incident Classification
  10. Incident Taxonomy
  11. SEV Escalation Triggers
  12. Severity Framework
  13. SEV Level Matrix
  14. False Positive Filtering
Ships with 2 files
  • references/regulatory-deadlines.md
  • scripts/incident_triage.py
Commands it runs
Classify an event from JSON file
python3 scripts/incident_triage.py --input event.json --classify --json
Classify with false positive filtering enabled
python3 scripts/incident_triage.py --input event.json --classify --false-positive-check --json
Force a severity level for tabletop exercises
python3 scripts/incident_triage.py --input event.json --severity sev1 --json
Read event from stdin
echo '{"event_type": "ransomware", "host": "prod-db-01", "raw_payload": {}}' | \
python3 scripts/incident_triage.py --classify --false-positive-check --json
python3 scripts/incident_triage.py --input alert.json \
More from claude-skills
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About this skill
What does the incident-response skill do?

Use when a security incident has been detected or declared and needs classification, triage, escalation path determination, and forensic evidence collection. Covers SEV1-SEV4 classification, false positive filtering, incident taxonomy, and NIST SP 800-61 lifecycle.

How do I install it?

Run `npx skills add alirezarezvani/claude-skills --skill incident-response --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From alirezarezvani/claude-skills, a repository with 23,791 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going