Perform basic penetration testing and security assessments. Use reconnaissance, vulnerability discovery, and exploitation techniques. Use when validating security controls or assessing system security.
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See how to installReview the instructions the agent will receive before you install.
Validate security controls through authorized testing.
pentest_phases:
1_reconnaissance:
- Passive information gathering
- DNS enumeration
- Network mapping
2_scanning:
- Port scanning
- Service identification
- Vulnerability scanning
3_exploitation:
- Attempt exploitation
- Verify vulnerabilities
- Document findings
4_post_exploitation:
- Privilege escalation
- Lateral movement
- Data access
5_reporting:
- Document findings
- Risk assessment
- Remediation recommendations
# DNS enumeration
dig example.com ANY
host -l example.com
# Subdomain discovery
subfinder -d example.com
# WHOIS
whois example.com
# Port scan
nmap -sV -sC -p- target.com
# Web scanning
nikto -h https://target.com
dirb https://target.com
# Vulnerability scan
nmap --script vuln target.com
# SQL injection test
sqlmap -u "http://target.com/page?id=1"
# XSS testing
# Use Burp Suite or manual testing
# Directory traversal
curl "http://target.com/file?path=../../../etc/passwd"
scope:
in_scope:
- target.com
- api.target.com
out_of_scope:
- production-db.target.com
- third-party services
testing_window: "Weekdays 2-6 AM UTC"
emergency_contact: "security@target.com"
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Conduct periodic access reviews and certifications. Implement access governance and recertification workflows. Use when managing access compliance.
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Build automated evaluation suites for AI agents using golden datasets, rubrics, and regression gates. Use when shipping agent features, validating prompt changes, or gating deployments on quality.
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Instrument AI agents with tracing, token metrics, latency, and cost visibility. Use for reliability and debugging.
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Secure AI agents against prompt injection, tool abuse, and data exfiltration with defense-in-depth controls. Use when building, deploying, or hardening agentic AI systems that invoke tools, access data, or interact with production infrastructure.
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Secure AI coding agents (Claude Code, Cursor, Codex, Copilot) with permission boundaries, secret protection, code review gates, and safe sandbox configurations for team environments.
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Use service mesh patterns for AI inference traffic management, mTLS, canary releases, policy enforcement, and cross-cluster resilience.
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