blue-team-root

This skill provides core blue-team functionalities for cybersecurity, enabling threat detection, incident response, and system defense. It integrates with tools like intrusion detection systems and logging frameworks to protect against cyber threats.

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Install skill "blue-team-root" with this command: npx skills add alphaonedev/openclaw-graph/alphaonedev-openclaw-graph-blue-team-root

blue-team-root

Purpose

This skill provides core blue-team functionalities for cybersecurity, enabling threat detection, incident response, and system defense. It integrates with tools like intrusion detection systems and logging frameworks to protect against cyber threats.

When to Use

Use this skill when monitoring network traffic for anomalies, responding to security incidents, or hardening systems. Apply it in real-time threat detection scenarios, such as during a suspected breach, or for proactive defense in environments like cloud infrastructures or on-premise servers.

Key Capabilities

  • Threat Detection: Scan networks using tools like Snort; example: detect intrusions by analyzing packet captures with snort -A console -q -c /etc/snort/snort.conf .

  • Incident Response: Automate containment via scripts that isolate affected hosts; e.g., use a Python snippet to block IP: import subprocess; subprocess.run(['iptables', '-A', 'INPUT', '-s', '192.168.1.1', '-j', 'DROP']) .

  • System Defense: Configure firewalls and monitoring; set up OSSEC for real-time alerting with config like <global><email_notification>yes</email_notification></global> in ossec.conf.

  • Log Analysis: Parse logs with ELK stack; query Elasticsearch endpoint /logs/_search with JSON payload {"query": {"match": {"message": "suspicious login"}}} .

  • Vulnerability Scanning: Run Nessus scans via API; endpoint POST /scans requires JSON body like {"policy_id": 1, "targets": ["192.168.1.0/24"]} .

Usage Patterns

Invoke this skill in OpenClaw by calling the skill ID "blue-team-root" with specific parameters. For example, to detect threats, use: openclaw execute blue-team-root --action detect --target 192.168.1.0/24 . In code, integrate via OpenClaw SDK: from openclaw import Skill; skill = Skill('blue-team-root'); result = skill.run(action='respond', incident_id='INC001') . Always set auth with environment variable $OPENCLAW_API_KEY before execution. Chain with other skills by piping outputs, e.g., detect then respond: openclaw execute blue-team-root --action detect | openclaw execute blue-team-root --action respond .

Common Commands/API

  • CLI Commands: Use openclaw blue-team-root detect --flags -i interface -t timeout to start network monitoring; flags include -i for interface and -t for scan timeout in seconds.

  • API Endpoints: Access via HTTP POST to https://api.openclaw.ai/blue-team/detect with body {"target": "192.168.1.0/24", "auth": "$OPENCLAW_API_KEY"} ; response includes JSON like {"status": "detected", "threats": ["SQL injection"]} .

  • Code Snippets: For incident response, use: response = requests.post('https://api.openclaw.ai/blue-team/respond', json={"incident": "INC001", "action": "isolate"}); print(response.json()['status']) . Another: os.system('snort -c /etc/snort.conf -A fast > detection.log') to log detections.

  • Config Formats: Use YAML for configurations, e.g., detection: { threshold: 5, rules: ['rule1', 'rule2'] } ; load in Python with import yaml; config = yaml.safe_load(open('config.yaml')) .

Integration Notes

Integrate with external tools by exporting results to SIEM systems like Splunk via webhook: openclaw blue-team-root --action export --format json --url https://splunk.example.com/api . For authentication, always use $OPENCLAW_API_KEY in headers, e.g., headers = {'Authorization': f'Bearer {os.environ.get("OPENCLAW_API_KEY")}'} in Python requests. Combine with red-team skills for simulations; pipe output directly, e.g., openclaw execute red-team-sim | openclaw execute blue-team-root --action detect`. Ensure compatibility by matching API versions, like OpenClaw v2.0.

Error Handling

Handle errors by checking API responses for status codes; if 401, retry with refreshed $OPENCLAW_API_KEY . For CLI, use try-except in scripts: try: subprocess.run(['snort', '-c', 'config'], check=True) except subprocess.CalledProcessError as e: print(f"Error: {e.returncode} - {e.output}") . Common issues include network timeouts; implement retries with exponential backoff, e.g., for attempt in range(3): try: requests.get(url) except requests.exceptions.Timeout: time.sleep(2**attempt) . Log all errors to a file for auditing, using Python's logging: import logging; logging.basicConfig(filename='blue-team.log', level=logging.ERROR) .

Concrete Usage Examples

  • Threat Detection Example: To detect potential threats on a network, run: openclaw execute blue-team-root --action detect --target 192.168.1.0/24 --auth $OPENCLAW_API_KEY . This scans the subnet and returns anomalies; follow up by parsing the JSON output to alert on high-severity items.

  • Incident Response Example: For an active incident, use: openclaw execute blue-team-root --action respond --incident_id INC002 --steps isolate,notify . This isolates the affected host and sends notifications; in code, verify with if response['status'] == 'success': print('Incident contained') .

Graph Relationships

  • Parent Cluster: Connected to "blue-team" cluster for broader cybersecurity operations.

  • Related Skills: Links to "incident-response" (ID: blue-team-ir) for advanced response tactics; and "threat-intelligence" (ID: blue-team-ti) for intelligence gathering.

  • Downstream Dependencies: Requires "logging-core" skill for log access; outputs to "alerting-system" for notifications.

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