From aj-geddes-useful-ai-prompts-4
Creates and executes incident response procedures for security breaches, data leaks, and cyber attacks. Use for handling incidents, response playbooks, or forensic analysis.
npx claudepluginhub joshuarweaver/cascade-code-languages-misc-1 --plugin aj-geddes-useful-ai-prompts-4This skill uses the workspace's default tool permissions.
- [Overview](#overview)
Searches, retrieves, and installs Agent Skills from prompts.chat registry using MCP tools like search_skills and get_skill. Activates for finding skills, browsing catalogs, or extending Claude.
Searches prompts.chat for AI prompt templates by keyword or category, retrieves by ID with variable handling, and improves prompts via AI. Use for discovering or enhancing prompts.
Checks Next.js compilation errors using a running Turbopack dev server after code edits. Fixes actionable issues before reporting complete. Replaces `next build`.
Structured approach to detecting, responding to, containing, and recovering from security incidents with comprehensive playbooks and automation.
Minimal working example:
# incident_response.py
from dataclasses import dataclass, field
from typing import List, Dict, Optional
from enum import Enum
from datetime import datetime
import json
class IncidentSeverity(Enum):
CRITICAL = "critical" # P1 - Business critical
HIGH = "high" # P2 - Major impact
MEDIUM = "medium" # P3 - Moderate impact
LOW = "low" # P4 - Minor impact
class IncidentStatus(Enum):
DETECTED = "detected"
INVESTIGATING = "investigating"
CONTAINED = "contained"
ERADICATED = "eradicated"
RECOVERED = "recovered"
CLOSED = "closed"
class IncidentType(Enum):
DATA_BREACH = "data_breach"
MALWARE = "malware"
UNAUTHORIZED_ACCESS = "unauthorized_access"
// ... (see reference guides for full implementation)
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| Incident Response Framework | Incident Response Framework |
| Node.js Incident Detection & Response | Node.js Incident Detection & Response |