This document outlines security policies, practices, and guidelines for the Claude Agents Repository.

• Multiple layers of security controls
• No single point of failure
• Assume breach mentality

• Verify every request and user
• Minimize access scope
• Continuous monitoring and validation

• PII protection built into agents
• Configurable privacy policies
• Data minimization principles

1. Agent Specifications - Intellectual property, business logic
2. Generated Artifacts - Runtime code, configurations
3. Secrets and Keys - API keys, certificates, tokens
4. PII and Sensitive Data - User data processed by agents
5. Infrastructure - CI/CD pipelines, deployment systems

1. Code Injection - Malicious prompts, template injection
2. Data Exfiltration - Unauthorized access to sensitive data
3. Supply Chain Attacks - Compromised dependencies
4. Privilege Escalation - Unauthorized system access
5. Information Disclosure - Accidental secret exposure

1. Input Validation - Schema validation, sanitization
2. Access Controls - RBAC, least privilege principle
3. Secret Management - External secret stores, rotation
4. Monitoring - Audit logs, anomaly detection
5. Secure Defaults - Conservative configurations

Prohibited in repository:

• API keys and tokens
• Database passwords
• Certificates and private keys
• Service account credentials
• Internal URLs and endpoints

# Pre-commit hooks detect common secret patterns
grep -rE "(api_key|secret_key|password|token)" --include="*.yaml" --include="*.py" .

# GitHub Advanced Security scanning
# Dependabot security advisories
# Third-party secret scanning tools

1. Environment Variables - Runtime injection
2. Key Management Services - AWS KMS, Azure Key Vault, HashiCorp Vault
3. CI/CD Secrets - GitHub Secrets, encrypted variables
4. Configuration Files - Kubernetes secrets, Docker secrets

# Agent specification (NO secrets)
tools:
  - id: github_api
    type: http
    spec: tools/http/github.yaml
    
# Runtime configuration (secrets injected)
# Environment: GITHUB_TOKEN=ghp_xxxx
# Tool resolves at runtime

Per-agent configuration:

constraints:
  pii_policy: forbid_raw_pii   # Strictest - reject PII input
  pii_policy: mask             # Moderate - auto-mask detected PII  
  pii_policy: allow            # Permissive - no PII restrictions

• Direct Identifiers: SSN, passport numbers, driver's license
• Quasi-identifiers: Name + ZIP, email addresses
• Sensitive Data: Health records, financial information
• Behavioral Data: Location history, browsing patterns

1. Runtime Detection - PII detection libraries (Presidio, spaCy)
2. Masking Strategies - Redaction, pseudonymization, tokenization
3. Audit Logging - PII processing events, access logs
4. Data Retention - Configurable retention periods, automatic deletion

• GDPR - European privacy regulation
• CCPA - California Consumer Privacy Act
• HIPAA - Healthcare privacy (US)
• SOX - Financial data protection
• Custom - Organization-specific requirements

# GitHub repository permissions
admin:     # Full access to settings and secrets
  - platform-team-leads
  - security-team

maintain:  # Merge PRs, manage issues
  - senior-engineers
  - team-leads
  
write:     # Create PRs, push to branches
  - engineers
  - contractors
  
read:      # View repository, clone
  - all-employees
  - auditors

ownership:
  owner: security-team@company.com     # Required approval for changes
  team: Security Engineering           # Team with write access
  sla_hours: 12                       # Response time commitment

• Build System: Read-only access to repository
• Deployment: Separate service accounts per environment
• Secret Access: Minimal required scope, time-limited tokens

• Threat modeling for new agents
• Security requirements definition
• Privacy impact assessment
• Compliance review

• Secure coding practices
• Input validation and sanitization
• Error handling without information disclosure
• Dependency vulnerability scanning

• Security unit tests
• Penetration testing for complex agents
• Static application security testing (SAST)
• Dynamic application security testing (DAST)

• Infrastructure security configuration
• Secret injection and access controls
• Monitoring and alerting setup
• Incident response procedures

• Regular security updates
• Vulnerability management
• Access review and rotation
• Security metrics and reporting

1. P0 - Critical - Active data breach, system compromise
2. P1 - High - Potential breach, privilege escalation
3. P2 - Medium - Configuration issue, minor vulnerability
4. P3 - Low - Policy violation, informational finding

1. Detection - Automated alerts, manual reporting
2. Assessment - Severity classification, impact analysis
3. Containment - Stop the attack, prevent spread
4. Eradication - Remove malware, fix vulnerabilities
5. Recovery - Restore services, verify functionality
6. Lessons Learned - Post-incident review, improvements

• Security Team: security-team@company.com
• On-Call: security-oncall@company.com
• Emergency: +1-xxx-xxx-xxxx
• Incident Management: incidents@company.com

# Required audit events
- agent_specification_changes
- secret_access_attempts  
- privilege_escalations
- data_processing_events
- authentication_failures

• Vulnerability Detection Time - Time to identify security issues
• Mean Time to Remediation - Time to fix security vulnerabilities
• Security Test Coverage - Percentage of code with security tests
• Incident Response Time - Time from detection to containment
• Compliance Score - Adherence to security policies

• High: Failed authentication attempts > 5/min
• Medium: New dependencies with known vulnerabilities
• Low: Policy violations, configuration drift

# Approved dependency sources
- pypi.org (Python packages)
- npmjs.com (Node.js packages)
- github.com (Source repositories)

# Prohibited sources
- Unverified package registries
- Direct GitHub release downloads
- Unsigned packages

# Python dependencies
pip-audit --requirements requirements.txt

# Node.js dependencies  
npm audit

# Container images
trivy image python:3.11-slim

1. Pin Dependencies - Exact version specifications
2. Vulnerability Scanning - Automated security checks
3. License Compliance - Compatible open source licenses
4. Provenance Verification - Package signing and verification
5. Regular Updates - Scheduled dependency updates

# Secure by default configuration
model:
  params:
    temperature: 0.3        # Conservative creativity
    max_tokens: 4000        # Reasonable response limits

constraints:
  pii_policy: mask          # Default PII protection
  cost_budget_usd: 1.00     # Conservative cost limits
  timeout_seconds: 60       # Prevent DoS via long requests

observability:
  log_level: INFO           # Sufficient logging without verbosity
  trace: false              # Disable tracing by default

• TLS Encryption - All external communications
• Certificate Validation - Strict certificate checking
• API Rate Limiting - Prevent abuse and DoS
• IP Allowlisting - Restrict access to known networks

• Sandboxing - Isolated execution environments
• Resource Limits - CPU, memory, and network quotas
• Capability Restrictions - Minimal required permissions
• Output Validation - Sanitize generated content

• Security - Access controls, encryption, monitoring
• Availability - Uptime, disaster recovery, incident response
• Processing Integrity - Data validation, error handling
• Confidentiality - Data protection, access restrictions
• Privacy - PII handling, consent management

• Risk Management - Identify, assess, and treat security risks
• Asset Management - Inventory and classify information assets
• Access Control - User access management and authentication
• Cryptography - Encryption and key management
• Operations Security - Secure operations and maintenance

• HIPAA - Healthcare data protection
• PCI DSS - Payment card data security
• FERPA - Educational records privacy
• GLBA - Financial information protection

# Security unit tests
def test_pii_detection():
    assert agent.detect_pii("SSN: 123-45-6789") == ["123-45-6789"]

def test_input_validation():
    malicious_input = "<script>alert('xss')</script>"
    assert agent.sanitize_input(malicious_input) != malicious_input

def test_secret_detection():
    spec = load_agent_spec("test-agent.yaml")
    assert not contains_secrets(spec)

• Code Reviews - Security-focused peer review
• Penetration Testing - External security assessment
• Red Team Exercises - Simulated attacks
• Social Engineering Tests - Human factor assessment

# GitHub Actions security pipeline
- name: Security Scan
  run: |
    bandit -r scripts/ adapters/
    safety check
    semgrep --config=auto .
    
- name: Secret Detection
  run: |
    truffleHog --regex --entropy=False .
    
- name: Container Security
  run: |
    trivy image --exit-code 1 --severity HIGH,CRITICAL .

1. Critical Vulnerabilities - 24 hours
2. High Vulnerabilities - 7 days
3. Medium Vulnerabilities - 30 days
4. Low Vulnerabilities - Next scheduled release

1. Vulnerability Assessment - Impact and exploitability analysis
2. Testing - Compatibility and regression testing
3. Deployment - Staged rollout with monitoring
4. Verification - Confirm vulnerability remediation
5. Communication - Notify stakeholders of changes

• Zero-Day Exploits - Immediate containment and patching
• Active Exploitation - Service degradation or shutdown
• Data Breach - Incident response activation
• Supply Chain Compromise - Dependency rollback or replacement

• Security Team: security-team@company.com
• Privacy Officer: privacy@company.com
• Compliance Team: compliance@company.com
• Legal Team: legal@company.com

• CERT/CC: https://www.cert.org/
• NIST Cybersecurity Framework: https://nist.gov/cybersecurity
• OWASP: https://owasp.org/
• CVE Database: https://cve.mitre.org/

DO:

• Report privately via security-team@company.com
• Include detailed reproduction steps
• Provide proof of concept (if safe)
• Allow reasonable disclosure timeframe

DON'T:

• Publicly disclose before coordination
• Access data beyond proof of concept
• Perform destructive testing
• Violate any laws or regulations

This security policy is reviewed quarterly and updated as needed. Last updated: [DATE] Version: 1.0.0