senior-security
Security engineering toolkit for threat modeling, vulnerability analysis, secure architecture, and penetration testing. Includes STRIDE analysis, OWASP guidance, cryptography patterns, and security scanning tools. Use when the user asks about security reviews, threat analysis, vulnerability assessments, secure coding practices, security audits, attack surface analysis, CVE remediation, or security best practices.
Best use case
senior-security is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Security engineering toolkit for threat modeling, vulnerability analysis, secure architecture, and penetration testing. Includes STRIDE analysis, OWASP guidance, cryptography patterns, and security scanning tools. Use when the user asks about security reviews, threat analysis, vulnerability assessments, secure coding practices, security audits, attack surface analysis, CVE remediation, or security best practices.
Teams using senior-security should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/senior-security/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How senior-security Compares
| Feature / Agent | senior-security | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Security engineering toolkit for threat modeling, vulnerability analysis, secure architecture, and penetration testing. Includes STRIDE analysis, OWASP guidance, cryptography patterns, and security scanning tools. Use when the user asks about security reviews, threat analysis, vulnerability assessments, secure coding practices, security audits, attack surface analysis, CVE remediation, or security best practices.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Senior Security Engineer
Security engineering tools for threat modeling, vulnerability analysis, secure architecture design, and penetration testing.
---
## Table of Contents
- [Threat Modeling Workflow](#threat-modeling-workflow)
- [Security Architecture Workflow](#security-architecture-workflow)
- [Vulnerability Assessment Workflow](#vulnerability-assessment-workflow)
- [Secure Code Review Workflow](#secure-code-review-workflow)
- [Incident Response Workflow](#incident-response-workflow)
- [Security Tools Reference](#security-tools-reference)
- [Tools and References](#tools-and-references)
---
## Threat Modeling Workflow
Identify and analyze security threats using STRIDE methodology.
### Workflow: Conduct Threat Model
1. Define system scope and boundaries:
- Identify assets to protect
- Map trust boundaries
- Document data flows
2. Create data flow diagram:
- External entities (users, services)
- Processes (application components)
- Data stores (databases, caches)
- Data flows (APIs, network connections)
3. Apply STRIDE to each DFD element (see [STRIDE per Element Matrix](#stride-per-element-matrix) below)
4. Score risks using DREAD:
- Damage potential (1-10)
- Reproducibility (1-10)
- Exploitability (1-10)
- Affected users (1-10)
- Discoverability (1-10)
5. Prioritize threats by risk score
6. Define mitigations for each threat
7. Document in threat model report
8. **Validation:** All DFD elements analyzed; STRIDE applied; threats scored; mitigations mapped
### STRIDE Threat Categories
| Category | Security Property | Mitigation Focus |
|----------|-------------------|------------------|
| Spoofing | Authentication | MFA, certificates, strong auth |
| Tampering | Integrity | Signing, checksums, validation |
| Repudiation | Non-repudiation | Audit logs, digital signatures |
| Information Disclosure | Confidentiality | Encryption, access controls |
| Denial of Service | Availability | Rate limiting, redundancy |
| Elevation of Privilege | Authorization | RBAC, least privilege |
### STRIDE per Element Matrix
| DFD Element | S | T | R | I | D | E |
|-------------|---|---|---|---|---|---|
| External Entity | X | | X | | | |
| Process | X | X | X | X | X | X |
| Data Store | | X | X | X | X | |
| Data Flow | | X | | X | X | |
See: [references/threat-modeling-guide.md](references/threat-modeling-guide.md)
---
## Security Architecture Workflow
Design secure systems using defense-in-depth principles.
### Workflow: Design Secure Architecture
1. Define security requirements:
- Compliance requirements (GDPR, HIPAA, PCI-DSS)
- Data classification (public, internal, confidential, restricted)
- Threat model inputs
2. Apply defense-in-depth layers:
- Perimeter: WAF, DDoS protection, rate limiting
- Network: Segmentation, IDS/IPS, mTLS
- Host: Patching, EDR, hardening
- Application: Input validation, authentication, secure coding
- Data: Encryption at rest and in transit
3. Implement Zero Trust principles:
- Verify explicitly (every request)
- Least privilege access (JIT/JEA)
- Assume breach (segment, monitor)
4. Configure authentication and authorization:
- Identity provider selection
- MFA requirements
- RBAC/ABAC model
5. Design encryption strategy:
- Key management approach
- Algorithm selection
- Certificate lifecycle
6. Plan security monitoring:
- Log aggregation
- SIEM integration
- Alerting rules
7. Document architecture decisions
8. **Validation:** Defense-in-depth layers defined; Zero Trust applied; encryption strategy documented; monitoring planned
### Defense-in-Depth Layers
```
Layer 1: PERIMETER
WAF, DDoS mitigation, DNS filtering, rate limiting
Layer 2: NETWORK
Segmentation, IDS/IPS, network monitoring, VPN, mTLS
Layer 3: HOST
Endpoint protection, OS hardening, patching, logging
Layer 4: APPLICATION
Input validation, authentication, secure coding, SAST
Layer 5: DATA
Encryption at rest/transit, access controls, DLP, backup
```
### Authentication Pattern Selection
| Use Case | Recommended Pattern |
|----------|---------------------|
| Web application | OAuth 2.0 + PKCE with OIDC |
| API authentication | JWT with short expiration + refresh tokens |
| Service-to-service | mTLS with certificate rotation |
| CLI/Automation | API keys with IP allowlisting |
| High security | FIDO2/WebAuthn hardware keys |
See: [references/security-architecture-patterns.md](references/security-architecture-patterns.md)
---
## Vulnerability Assessment Workflow
Identify and remediate security vulnerabilities in applications.
### Workflow: Conduct Vulnerability Assessment
1. Define assessment scope:
- In-scope systems and applications
- Testing methodology (black box, gray box, white box)
- Rules of engagement
2. Gather information:
- Technology stack inventory
- Architecture documentation
- Previous vulnerability reports
3. Perform automated scanning:
- SAST (static analysis)
- DAST (dynamic analysis)
- Dependency scanning
- Secret detection
4. Conduct manual testing:
- Business logic flaws
- Authentication bypass
- Authorization issues
- Injection vulnerabilities
5. Classify findings by severity:
- Critical: Immediate exploitation risk
- High: Significant impact, easier to exploit
- Medium: Moderate impact or difficulty
- Low: Minor impact
6. Develop remediation plan:
- Prioritize by risk
- Assign owners
- Set deadlines
7. Verify fixes and document
8. **Validation:** Scope defined; automated and manual testing complete; findings classified; remediation tracked
For OWASP Top 10 vulnerability descriptions and testing guidance, refer to [owasp.org/Top10](https://owasp.org/Top10).
### Vulnerability Severity Matrix
| Impact \ Exploitability | Easy | Moderate | Difficult |
|-------------------------|------|----------|-----------|
| Critical | Critical | Critical | High |
| High | Critical | High | Medium |
| Medium | High | Medium | Low |
| Low | Medium | Low | Low |
---
## Secure Code Review Workflow
Review code for security vulnerabilities before deployment.
### Workflow: Conduct Security Code Review
1. Establish review scope:
- Changed files and functions
- Security-sensitive areas (auth, crypto, input handling)
- Third-party integrations
2. Run automated analysis:
- SAST tools (Semgrep, CodeQL, Bandit)
- Secret scanning
- Dependency vulnerability check
3. Review authentication code:
- Password handling (hashing, storage)
- Session management
- Token validation
4. Review authorization code:
- Access control checks
- RBAC implementation
- Privilege boundaries
5. Review data handling:
- Input validation
- Output encoding
- SQL query construction
- File path handling
6. Review cryptographic code:
- Algorithm selection
- Key management
- Random number generation
7. Document findings with severity
8. **Validation:** Automated scans passed; auth/authz reviewed; data handling checked; crypto verified; findings documented
### Security Code Review Checklist
| Category | Check | Risk |
|----------|-------|------|
| Input Validation | All user input validated and sanitized | Injection |
| Output Encoding | Context-appropriate encoding applied | XSS |
| Authentication | Passwords hashed with Argon2/bcrypt | Credential theft |
| Session | Secure cookie flags set (HttpOnly, Secure, SameSite) | Session hijacking |
| Authorization | Server-side permission checks on all endpoints | Privilege escalation |
| SQL | Parameterized queries used exclusively | SQL injection |
| File Access | Path traversal sequences rejected | Path traversal |
| Secrets | No hardcoded credentials or keys | Information disclosure |
| Dependencies | Known vulnerable packages updated | Supply chain |
| Logging | Sensitive data not logged | Information disclosure |
### Secure vs Insecure Patterns
| Pattern | Issue | Secure Alternative |
|---------|-------|-------------------|
| SQL string formatting | SQL injection | Use parameterized queries with placeholders |
| Shell command building | Command injection | Use subprocess with argument lists, no shell |
| Path concatenation | Path traversal | Validate and canonicalize paths |
| MD5/SHA1 for passwords | Weak hashing | Use Argon2id or bcrypt |
| Math.random for tokens | Predictable values | Use crypto.getRandomValues |
### Inline Code Examples
**SQL Injection — insecure vs. secure (Python):**
```python
# ❌ Insecure: string formatting allows SQL injection
query = f"SELECT * FROM users WHERE username = '{username}'"
cursor.execute(query)
# ✅ Secure: parameterized query — user input never interpreted as SQL
query = "SELECT * FROM users WHERE username = %s"
cursor.execute(query, (username,))
```
**Password Hashing with Argon2id (Python):**
```python
from argon2 import PasswordHasher
ph = PasswordHasher() # uses secure defaults (time_cost, memory_cost)
# On registration
hashed = ph.hash(plain_password)
# On login — raises argon2.exceptions.VerifyMismatchError on failure
ph.verify(hashed, plain_password)
```
**Secret Scanning — core pattern matching (Python):**
```python
import re, pathlib
SECRET_PATTERNS = {
"aws_access_key": re.compile(r"AKIA[0-9A-Z]{16}"),
"github_token": re.compile(r"ghp_[A-Za-z0-9]{36}"),
"private_key": re.compile(r"-----BEGIN (RSA |EC )?PRIVATE KEY-----"),
"generic_secret": re.compile(r'(?i)(password|secret|api_key)\s*=\s*["\']?\S{8,}'),
}
def scan_file(path: pathlib.Path) -> list[dict]:
findings = []
for lineno, line in enumerate(path.read_text(errors="replace").splitlines(), 1):
for name, pattern in SECRET_PATTERNS.items():
if pattern.search(line):
findings.append({"file": str(path), "line": lineno, "type": name})
return findings
```
---
## Incident Response Workflow
Respond to and contain security incidents.
### Workflow: Handle Security Incident
1. Identify and triage:
- Validate incident is genuine
- Assess initial scope and severity
- Activate incident response team
2. Contain the threat:
- Isolate affected systems
- Block malicious IPs/accounts
- Disable compromised credentials
3. Eradicate root cause:
- Remove malware/backdoors
- Patch vulnerabilities
- Update configurations
4. Recover operations:
- Restore from clean backups
- Verify system integrity
- Monitor for recurrence
5. Conduct post-mortem:
- Timeline reconstruction
- Root cause analysis
- Lessons learned
6. Implement improvements:
- Update detection rules
- Enhance controls
- Update runbooks
7. Document and report
8. **Validation:** Threat contained; root cause eliminated; systems recovered; post-mortem complete; improvements implemented
### Incident Severity Levels
| Level | Response Time | Escalation |
|-------|---------------|------------|
| P1 - Critical (active breach/exfiltration) | Immediate | CISO, Legal, Executive |
| P2 - High (confirmed, contained) | 1 hour | Security Lead, IT Director |
| P3 - Medium (potential, under investigation) | 4 hours | Security Team |
| P4 - Low (suspicious, low impact) | 24 hours | On-call engineer |
### Incident Response Checklist
| Phase | Actions |
|-------|---------|
| Identification | Validate alert, assess scope, determine severity |
| Containment | Isolate systems, preserve evidence, block access |
| Eradication | Remove threat, patch vulnerabilities, reset credentials |
| Recovery | Restore services, verify integrity, increase monitoring |
| Lessons Learned | Document timeline, identify gaps, update procedures |
---
## Security Tools Reference
### Recommended Security Tools
| Category | Tools |
|----------|-------|
| SAST | Semgrep, CodeQL, Bandit (Python), ESLint security plugins |
| DAST | OWASP ZAP, Burp Suite, Nikto |
| Dependency Scanning | Snyk, Dependabot, npm audit, pip-audit |
| Secret Detection | GitLeaks, TruffleHog, detect-secrets |
| Container Security | Trivy, Clair, Anchore |
| Infrastructure | Checkov, tfsec, ScoutSuite |
| Network | Wireshark, Nmap, Masscan |
| Penetration | Metasploit, sqlmap, Burp Suite Pro |
### Cryptographic Algorithm Selection
| Use Case | Algorithm | Key Size |
|----------|-----------|----------|
| Symmetric encryption | AES-256-GCM | 256 bits |
| Password hashing | Argon2id | N/A (use defaults) |
| Message authentication | HMAC-SHA256 | 256 bits |
| Digital signatures | Ed25519 | 256 bits |
| Key exchange | X25519 | 256 bits |
| TLS | TLS 1.3 | N/A |
See: [references/cryptography-implementation.md](references/cryptography-implementation.md)
---
## Tools and References
### Scripts
| Script | Purpose |
|--------|---------|
| [threat_modeler.py](scripts/threat_modeler.py) | STRIDE threat analysis with DREAD risk scoring; JSON and text output; interactive guided mode |
| [secret_scanner.py](scripts/secret_scanner.py) | Detect hardcoded secrets and credentials across 20+ patterns; CI/CD integration ready |
For usage, see the inline code examples in [Secure Code Review Workflow](#inline-code-examples) and the script source files directly.
### References
| Document | Content |
|----------|---------|
| [security-architecture-patterns.md](references/security-architecture-patterns.md) | Zero Trust, defense-in-depth, authentication patterns, API security |
| [threat-modeling-guide.md](references/threat-modeling-guide.md) | STRIDE methodology, attack trees, DREAD scoring, DFD creation |
| [cryptography-implementation.md](references/cryptography-implementation.md) | AES-GCM, RSA, Ed25519, password hashing, key management |
---
## Security Standards Reference
### Security Headers Checklist
| Header | Recommended Value |
|--------|-------------------|
| Content-Security-Policy | default-src self; script-src self |
| X-Frame-Options | DENY |
| X-Content-Type-Options | nosniff |
| Strict-Transport-Security | max-age=31536000; includeSubDomains |
| Referrer-Policy | strict-origin-when-cross-origin |
| Permissions-Policy | geolocation=(), microphone=(), camera=() |
For compliance framework requirements (OWASP ASVS, CIS Benchmarks, NIST CSF, PCI-DSS, HIPAA, SOC 2), refer to the respective official documentation.
---
## Related Skills
| Skill | Integration Point |
|-------|-------------------|
| [senior-devops](../senior-devops/) | CI/CD security, infrastructure hardening |
| [senior-secops](../senior-secops/) | Security monitoring, incident response |
| [senior-backend](../senior-backend/) | Secure API development |
| [senior-architect](../senior-architect/) | Security architecture decisions |Related Skills
senior-secops
Senior SecOps engineer skill for application security, vulnerability management, compliance verification, and secure development practices. Runs SAST/DAST scans, generates CVE remediation plans, checks dependency vulnerabilities, creates security policies, enforces secure coding patterns, and automates compliance checks against SOC2, PCI-DSS, HIPAA, and GDPR. Use when conducting a security review or audit, responding to a CVE or security incident, hardening infrastructure, implementing authentication or secrets management, running penetration test prep, checking OWASP Top 10 exposure, or enforcing security controls in CI/CD pipelines.
senior-qa
Generates unit tests, integration tests, and E2E tests for React/Next.js applications. Scans components to create Jest + React Testing Library test stubs, analyzes Istanbul/LCOV coverage reports to surface gaps, scaffolds Playwright test files from Next.js routes, mocks API calls with MSW, creates test fixtures, and configures test runners. Use when the user asks to "generate tests", "write unit tests", "analyze test coverage", "scaffold E2E tests", "set up Playwright", "configure Jest", "implement testing patterns", or "improve test quality".
senior-prompt-engineer
This skill should be used when the user asks to "optimize prompts", "design prompt templates", "evaluate LLM outputs", "build agentic systems", "implement RAG", "create few-shot examples", "analyze token usage", or "design AI workflows". Use for prompt engineering patterns, LLM evaluation frameworks, agent architectures, and structured output design.
senior-pm
Senior Project Manager for enterprise software, SaaS, and digital transformation projects. Specializes in portfolio management, quantitative risk analysis, resource optimization, stakeholder alignment, and executive reporting. Uses advanced methodologies including EMV analysis, Monte Carlo simulation, WSJF prioritization, and multi-dimensional health scoring. Use when a user needs help with project plans, project status reports, risk assessments, resource allocation, project roadmaps, milestone tracking, team capacity planning, portfolio health reviews, program management, or executive-level project reporting — especially for enterprise-scale initiatives with multiple workstreams, complex dependencies, or multi-million dollar budgets.
senior-ml-engineer
ML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs. Covers model deployment, feature stores, drift monitoring, RAG systems, and cost optimization. Use when the user asks about deploying ML models to production, setting up MLOps infrastructure (MLflow, Kubeflow, Kubernetes, Docker), monitoring model performance or drift, building RAG pipelines, or integrating LLM APIs with retry logic and cost controls. Focused on production and operational concerns rather than model research or initial training.
senior-fullstack
Fullstack development toolkit with project scaffolding for Next.js, FastAPI, MERN, and Django stacks, code quality analysis with security and complexity scoring, and stack selection guidance. Use when the user asks to "scaffold a new project", "create a Next.js app", "set up FastAPI with React", "analyze code quality", "audit my codebase", "what stack should I use", "generate project boilerplate", or mentions fullstack development, project setup, or tech stack comparison.
senior-frontend
Frontend development skill for React, Next.js, TypeScript, and Tailwind CSS applications. Use when building React components, optimizing Next.js performance, analyzing bundle sizes, scaffolding frontend projects, implementing accessibility, or reviewing frontend code quality.
senior-devops
Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup, infrastructure as code, deployment automation, and monitoring. Use when setting up pipelines, deploying applications, managing infrastructure, implementing monitoring, or optimizing deployment processes.
senior-data-scientist
World-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics. Covers A/B testing (sample sizing, two-proportion z-tests, Bonferroni correction), difference-in-differences, feature engineering pipelines (Scikit-learn, XGBoost), cross-validated model evaluation (AUC-ROC, AUC-PR, SHAP), and MLflow experiment tracking — using Python (NumPy, Pandas, Scikit-learn), R, and SQL. Use when designing or analysing controlled experiments, building and evaluating classification or regression models, performing causal analysis on observational data, engineering features for structured tabular datasets, or translating statistical findings into data-driven business decisions.
senior-data-engineer
Data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, implementing data governance, or troubleshooting data issues.
senior-computer-vision
Computer vision engineering skill for object detection, image segmentation, and visual AI systems. Covers CNN and Vision Transformer architectures, YOLO/Faster R-CNN/DETR detection, Mask R-CNN/SAM segmentation, and production deployment with ONNX/TensorRT. Includes PyTorch, torchvision, Ultralytics, Detectron2, and MMDetection frameworks. Use when building detection pipelines, training custom models, optimizing inference, or deploying vision systems.
senior-backend
Designs and implements backend systems including REST APIs, microservices, database architectures, authentication flows, and security hardening. Use when the user asks to "design REST APIs", "optimize database queries", "implement authentication", "build microservices", "review backend code", "set up GraphQL", "handle database migrations", or "load test APIs". Covers Node.js/Express/Fastify development, PostgreSQL optimization, API security, and backend architecture patterns.