Security Generate Security Sample Data
ElasticOfficialCreated by elastic
- Skill
- Tool integration
- Security
- Apache-2.0
- Medium risk
- Has scripts
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
This tool provides a command-line interface to inject synthetic, ECS-compliant security data into Elastic Security. It supports generating raw events from common sources like Windows, AWS, and Okta, as well as complex, multi-step attack scenarios and pre-indexed synthetic alerts. Designed for demo environments, POCs, and detection rule validation, it allows users to populate dashboards and test security features without requiring live traffic. The tool includes a continuous mode for simulating active environments and a cleanup utility to remove all injected data.
What it does
- Generates synthetic security events for system, endpoint, Windows, AWS, and Okta data streams.
- Simulates multi-step attack scenarios such as ransomware chains and credential theft.
- Creates synthetic alert documents with MITRE ATT&CK mappings and risk scores.
- Supports continuous event streaming to simulate active SOC environments.
- Provides a cleanup utility to safely remove all generated sample data.
- Integrates with Elastic Security dashboards, Alerts tab, and Attack Discovery.
When to use it
- When you need to populate Elastic Security dashboards for a product demonstration.
- When testing the efficacy of detection rules against specific attack patterns.
- When setting up a Proof of Concept (POC) environment with realistic security data.
- When you need to verify the configuration of Attack Discovery or other security features.
Advantages
- Enables rapid environment setup without needing real-world security logs.
- Uses safe, non-malicious data that mimics real attack chains.
- Provides granular control over data generation via CLI flags.
- Includes built-in cleanup functionality to maintain environment hygiene.
- Supports continuous simulation for realistic dashboard activity.
Usage examples
- “Set up a demo environment so I can show Attack Discovery to my VP.”
- Executes the demo-walkthrough script to generate a full suite of sample data and opens the Kibana interface.
- “Generate only the ransomware attack chain to test our detection rules.”
- Runs the sample-data script with the ransomwareChain scenario flag to inject relevant events and alerts.
- “Keep generating events so the dashboards stay active during the demo.”
- Starts the continuous generation mode, streaming events at the specified interval until manually stopped.
- “Remove all sample data from my project.”
- Executes the cleanup command to delete all documents tagged as sample data from the Elasticsearch indices.
Install
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/elastic/security-generate-security-sample-data/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip security-generate-security-sample-data.zip -d .agents/skills
Documentation by elastic
Generate Security Sample Data
Generate ECS-compliant security events, multi-step attack scenarios, and synthetic alert documents that populate Elastic Security dashboards, the Alerts tab, and Attack Discovery.
Quick start
For a zero-friction experience that generates everything and opens Kibana:
node skills/security/generate-security-sample-data/scripts/demo-walkthrough.jsWorkflow
- [ ] Step 1: Set environment variables
- [ ] Step 2: Generate sample data
- [ ] Step 3: Explore in Kibana
- [ ] Step 4: Clean up when doneStep 1: Set environment variables
export ELASTICSEARCH_URL="https://your-project.es.region.aws.elastic.cloud"
export ELASTICSEARCH_USERNAME="admin"
export ELASTICSEARCH_PASSWORD="your-password"
export KIBANA_URL="https://your-project.kb.region.aws.elastic.cloud"Step 2: Generate sample data
Generate everything at once
node skills/security/generate-security-sample-data/scripts/sample-data.js \
system endpoint okta aws windows --scenarios --alertsGenerate only events
node skills/security/generate-security-sample-data/scripts/sample-data.js \
system endpoint --count 100Generate only attack scenarios
node skills/security/generate-security-sample-data/scripts/sample-data.js --scenariosGenerate only synthetic alerts
node skills/security/generate-security-sample-data/scripts/sample-data.js --alertsStep 3: Explore in Kibana
After generating data, direct the user to these pages:
Security > Alerts — synthetic alerts with MITRE ATT&CK mappings
Security > Attack Discovery — requires an LLM connector to analyze alerts
Security > Hosts — host activity from sample events
Security > Overview — summary of all security data
Discover — raw events across all data streams
Step 4: Clean up when done
node skills/security/generate-security-sample-data/scripts/sample-data.js --cleanupWhat gets generated
Sample data spans 5 packages (system, endpoint, windows, aws, okta) and 4 focused attack scenarios covering the most
common demo themes: Windows credential theft, AWS cloud privilege escalation, Okta identity takeover, and a full
ransomware kill chain. Synthetic alert documents are indexed into .alerts-security.alerts-default with MITRE ATT&CK
mappings, severity levels, and risk scores.
All events use RFC 5737 / RFC 2606 safe addresses. For full tables of packages, scenarios, and alerts see references/sample-data-reference.md.
Continuous mode
Stream events to simulate a live environment:
node skills/security/generate-security-sample-data/scripts/sample-data.js \
--continuous --interval 15Every 5th batch includes an attack scenario; every 10th batch adds synthetic alerts. Press Ctrl+C to stop.
Tool reference
sample-data.js
| Flag | Description |
|---|---|
--count, -n | Events per package (default: 50) |
--scenarios | Run all attack simulation scenarios |
--scenario NAME | Run a specific scenario |
--alerts | Generate synthetic alert documents |
--cleanup | Remove all sample data and alerts |
--continuous | Stream live events (Ctrl+C to stop) |
--interval N | Seconds between continuous batches (default: 30) |
--json, -j | Output results as JSON |
--yes, -y | Skip confirmation prompts |
demo-walkthrough.js
Zero-friction runner that generates everything and opens Kibana.
| Flag | Description |
|---|---|
--cleanup | Remove all sample data, alerts, case |
--continuous | Generate then stream live events |
--count N | Events per package (default: 50) |
--interval N | Seconds between batches (default: 30) |
Examples
Quick demo for a stakeholder
"Set up a demo environment so I can show Attack Discovery to my VP."
node skills/security/generate-security-sample-data/scripts/demo-walkthrough.jsTargeted scenario testing
"Generate only the ransomware attack chain to test our detection rules."
node skills/security/generate-security-sample-data/scripts/sample-data.js \
--scenario ransomwareChain --alertsSimulating a live SOC
"Keep generating events so the dashboards stay active during the demo."
node skills/security/generate-security-sample-data/scripts/demo-walkthrough.js --continuousCleaning up after a demo
"Remove all sample data from my project."
node skills/security/generate-security-sample-data/scripts/sample-data.js --cleanupGuidelines
All generated documents are tagged with
tags: ["elastic-security-sample-data"]for safe cleanup. The cleanup command only deletes documents with this marker.If marker fields are not indexed in a data stream, cleanup falls back to scanning
_source.tagsfor matching sample documents from the last 14 days.Synthetic alerts are indexed directly into
.alerts-security.alerts-default— they do not require detection rules to be installed or enabled.Attack Discovery requires an LLM connector (OpenAI, Anthropic, Google Gemini, or similar) configured in Kibana under Stack Management > Connectors. The "Complete" project tier unlocks the feature, but the connector must be set up separately.
Use the
case-managementskill for creating investigation cases from alerts.
Production use
Do not run against production clusters unless you intend to inject synthetic data alongside real alerts. Sample events and alerts are tagged for cleanup but will appear in dashboards, the Alerts tab, and Attack Discovery alongside real data.
All write operations (
generate,--cleanup,--continuous) prompt for confirmation. Pass--yesor-yto skip when called by an agent.--cleanuprunsdeleteByQueryacross all sample data indices — verify environment variables point to the intended cluster before running.--continuousmode indexes events indefinitely until manually stopped with Ctrl+C.
Environment variables
| Variable | Required | Description |
|---|---|---|
ELASTICSEARCH_URL | Yes | Elasticsearch URL |
ELASTICSEARCH_API_KEY | Yes* | Elasticsearch API key |
ELASTICSEARCH_USERNAME | Yes* | Elasticsearch username (alternative) |
ELASTICSEARCH_PASSWORD | Yes* | Elasticsearch password (alternative) |
KIBANA_URL | No | Kibana URL (for case creation and links) |
KIBANA_USERNAME | No | Kibana username (if using Kibana features) |
KIBANA_PASSWORD | No | Kibana password (if using Kibana features) |
*Either API key or username/password is required for Elasticsearch.
Files
- ATTRIBUTION.mdAdded by AutoGineer1009 B
- LICENSELicence file added by AutoGineer11.1 KiB
- SKILL.md7.8 KiB
- references/sample-data-reference.md3.6 KiB
- scripts/demo-walkthrough.jsScript4.7 KiB
- scripts/es-client.jsScript1.8 KiB
- scripts/kibana-client.jsScript6.7 KiB
- scripts/sample-data.jsScript89.6 KiB
Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Needs an API key, Needs Node.js
The author says: Requires Node.js 22+, network access to Kibana and Elasticsearch. Environment variables: KIBANA_URL plus KIBANA_API_KEY or KIBANA_USERNAME/KIBANA_PASSWORD; ELASTICSEARCH_URL or ELASTICSEARCH_CLOUD_ID plus ELASTICSEARCH_API_KEY or ELASTICSEARCH_USERNAME/ELASTICSEARCH_PASSWORD.
Security
What our scanner noticed· Medium risk
- Encoded commands that are executed
- Scripts that your agent may run
This skill includes scripts that your agent may run. Read them before you use it.
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Created by
- elastic
- Publisher
- Elastic (Official)
- Source
- elastic/agent-skills · skills/security/generate-security-sample-data · commit 09d879d
- Licence
- Apache License 2.0 (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
- Also distributed in
- elastic/agent-skills
AutoGineer is not affiliated with or endorsed by elastic.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download security-generate-security-sample-data.zip