
Siem
- 52 installs
- 6 repo stars
- Updated March 13, 2026
- alphaonedev/openclaw-graph
siem is a Claude Code skill that monitors and analyzes security events and logs in real time for blue-team threat detection and incident response.
About
siem is a skill that monitors and analyzes security events and logs in real time for blue-team threat detection and incident response. It ingests logs from syslog, Windows Event Logs, and cloud APIs, applies Sigma or YARA detection rules, and correlates events. A developer uses it to investigate anomalies, generate alerts, and prioritize threats in high-volume environments.
- Ingests and parses logs from syslog, Windows Event Logs, and cloud APIs in real time
- Detection rules via Sigma or YARA with alerts to email, Slack, or webhooks
- Correlates events (e.g. failed logins then exfiltration) with Kibana dashboards
Siem by the numbers
- 52 all-time installs (skills.sh)
- Ranked #1,302 of 2,203 Security skills by installs in the Skillselion catalog
- Data as of Jul 28, 2026 (Skillselion catalog sync)
siem capabilities & compatibility
Requires a $SIEM_API_KEY for the SIEM API.
- Capabilities
- security monitoring · threat detection · log correlation · alerting · incident response
- Works with
- slack · splunk
- Use cases
- security audit
- Pricing
- Bring your own API key
What siem says it does
This skill monitors and analyzes security events and logs in real-time to detect threats and enable incident response, focusing on blue-team operations.
Threat detection rules based on Sigma or YARA formats for custom signatures.
Correlation of events to identify patterns, such as failed logins followed by data exfiltration.
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| Installs | 52 |
|---|---|
| repo stars | ★ 6 |
| Last updated | March 13, 2026 |
| Repository | alphaonedev/openclaw-graph ↗ |
What it does
Monitor and correlate security logs in real time to detect threats and drive incident response.
Who is it for?
Investigating log anomalies and correlating events in high-volume enterprise networks.
Skip if: Offensive security or non-security log analysis.
When should I use this skill?
You need real-time security log monitoring, detection rules, or event correlation.
What you get
The skill ingests logs, applies detection rules, and raises correlated alerts.
- Alerts
- Correlated event reports
- Kibana dashboards
By the numbers
- 5 key capabilities listed
- Threshold example of 5 events for alerting
Files
siem
Purpose
This skill monitors and analyzes security events and logs in real-time to detect threats and enable incident response, focusing on blue-team operations.
When to Use
Use this skill during active security monitoring, such as investigating anomalies in network logs, responding to potential breaches, or correlating events across systems. Apply it in environments with high log volumes, like enterprise networks, to prioritize alerts over manual reviews.
Key Capabilities
- Real-time log ingestion and parsing from sources like syslog, Windows Event Logs, or cloud APIs.
- Threat detection rules based on Sigma or YARA formats for custom signatures.
- Alert generation and escalation via email, Slack, or webhook integrations.
- Correlation of events to identify patterns, such as failed logins followed by data exfiltration.
- Dashboard visualization using tools like Kibana for quick insights into metrics like event frequency and top threats.
Usage Patterns
To set up monitoring, configure data sources first, then define queries or rules. For ongoing use, run periodic queries in scripts or integrate via API calls. Pattern 1: Query logs for specific events. Pattern 2: Automate alerts by scheduling rule checks. Always use environment variables for authentication, e.g., set $SIEM_API_KEY before operations.
Common Commands/API
Use the SIEM CLI for quick tasks or the REST API for programmatic access. Authentication requires the $SIEM_API_KEY env var in all requests.
- CLI Command: Query logs with filters. Example:
siem query --index security-logs --filter 'event_type=login AND status=failure' --limit 100 --output json
- CLI Command: Create an alert rule. Example:
siem rule add --name suspicious-activity --query 'source_ip=unknown AND action=access' --threshold 5 --action webhook --url https://webhook.example.com
- API Endpoint: Submit events (POST /api/v1/events). Example code snippet:
import requests; import os
headers = {'Authorization': f'Bearer {os.environ["SIEM_API_KEY"]}'}
response = requests.post('https://api.siem.com/api/v1/events', headers=headers, json={'event': 'login_failure', 'details': {'ip': '192.168.1.1'}})- API Endpoint: Query events (GET /api/v1/query). Example code snippet:
import requests; import os
params = {'filter': 'event_type=access', 'time_range': 'last_hour'}
response = requests.get('https://api.siem.com/api/v1/query', headers={'Authorization': f'Bearer {os.environ["SIEM_API_KEY"]}'}, params=params)
print(response.json())Config formats: Use JSON for rules, e.g., {"name": "rule1", "query": "event_type=login", "threshold": 10}. Store in a file and load via siem config load --file rules.json.
Integration Notes
Integrate SIEM with tools like firewalls or IDS by configuring webhooks or API polling. For authentication, always use $SIEM_API_KEY in env vars; example: export SIEM_API_KEY=your_key. To link with other blue-team tools, use the SIEM webhook endpoint (e.g., POST /api/v1/webhook) for incoming events. For data forwarding, set up exporters in config files like:
[exporter]
type = "splunk"
url = "https://splunk.example.com"
auth_key = "$SIEM_API_KEY"Test integrations by sending a test event: siem test-integration --type splunk --payload '{"event": "test"}'.
Error Handling
Common errors include authentication failures (e.g., 401 Unauthorized) from missing $SIEM_API_KEY, resolved by verifying env vars. For query errors (e.g., invalid filters), check syntax and use siem query --debug for logs. API timeouts (e.g., 504) can be handled by retrying with exponential backoff in code:
import time; import requests
try: response = requests.get('https://api.siem.com/api/v1/query', timeout=5)
except requests.exceptions.Timeout: time.sleep(2); response = requests.get('https://api.siem.com/api/v1/query', timeout=5)Parse error responses for details, e.g., if response.status_code == 400, log the JSON error message. Always wrap CLI commands in scripts with error checking, like if [ $? -ne 0 ]; then echo "Command failed"; fi.
Concrete Usage Examples
Example 1: Detect failed logins in the last hour. First, set env var: export SIEM_API_KEY=your_api_key Then, run: siem query --index auth-logs --filter 'event_type=login AND status=failure AND timestamp>now-1h' --output json Analyze output: Pipe to jq for parsing, e.g., siem query ... | jq '.events[] | select(.ip=="suspicious")'
Example 2: Set up an alert for high-severity events. Create rule: siem rule add --name high-severity-alert --query 'severity>7' --action email --recipients alerts@team.com Schedule it: Use cron to run siem rule check --name high-severity-alert every 5 minutes. Verify: Check logs with siem logs --rule high-severity-alert for triggered events.
Graph Relationships
- Connected to: blue-team cluster
- Related tags: siem, blue-team, security-monitoring
- Links: Integrates with other blue-team skills via shared APIs; depends on security-monitoring for event sources
Related skills
FAQ
What log sources does it ingest?
It ingests and parses logs from sources like syslog, Windows Event Logs, or cloud APIs in real time.
How does it define detections?
It uses threat-detection rules based on Sigma or YARA formats for custom signatures and can escalate alerts via email, Slack, or webhooks.