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name: security-analyzer description: Comprehensive security vulnerability analysis for codebases and infrastructure. Scans dependencies (npm, pip, gem, go, cargo), containers (Docker, Kubernetes), cloud IaC (Terraform, CloudFormation), and detects secrets exposure. Fetches live CVE data from OSV.dev, calculates risk scores, and generates phased remediation plans with TDD validation tests. Use when users mention security scan, vulnerability, CVE, exploit, security audit, penetration test, OWASP, hardening, dependency audit, container security, or want to improve security posture. allowed-tools: Bash, Read, Write, Edit, Glob, Grep, WebFetch, WebSearch

Security Analyzer

Analyze environments for vulnerabilities, fetch current CVE/exploit data, and generate phased remediation plans with TDD validation.

Quick Start

When the user requests a security scan:

1. Run environment discovery: python .claude/skills/security-analyzer/scripts/discover_env.py .
2. Save output to inventory.json
3. Run vulnerability scan: python .claude/skills/security-analyzer/scripts/fetch_vulns.py inventory.json
4. Save output to scan_results.json
5. Generate reports: python .claude/skills/security-analyzer/scripts/generate_report.py scan_results.json inventory.json

Workflow

Phase 1: Environment Discovery

Scan working directory for:

• Dependencies: package.json, requirements.txt, Gemfile, go.mod, Cargo.toml, pom.xml
• Containers: Dockerfile, docker-compose.yml, kubernetes/*.yaml
• Cloud IaC: terraform/*.tf, cloudformation/*.yaml, *.bicep
• Secrets: .env* files (flag exposure risk, never log values)

Run the discovery script:

Copypython .claude/skills/security-analyzer/scripts/discover_env.py /path/to/project > inventory.json

Phase 2: Vulnerability Intelligence

Fetch current threat data using the vulnerability scanner:

Copypython .claude/skills/security-analyzer/scripts/fetch_vulns.py inventory.json > scan_results.json

For CISA KEV and additional context, supplement with:

CopyWebSearch: "CVE-XXXX-YYYY CISA KEV exploit"

Phase 3: Risk Scoring

The scanner calculates risk scores using:

CopyRisk = (CVSS * 0.3) + (Exploitability * 0.3) + (Criticality * 0.2) + (Exposure * 0.2)

Exploitability: 10=CISA KEV, 7=public exploit, 3=theoretical
Criticality: 10=auth/payment, 5=core business, 2=logging
Exposure: 10=internet-facing, 5=internal, 2=air-gapped

Phase 4: Phased Remediation

Generate reports with fix commands and validation tests:

Copypython .claude/skills/security-analyzer/scripts/generate_report.py scan_results.json inventory.json

Each finding includes:

1. Vulnerability details + risk score
2. Actual fix code/patch (not just recommendations)
3. Pre-fix test (proves vuln exists)
4. Remediation unit tests (tests the fix code)
5. Post-fix validation (proves vuln resolved)

Phase 5: Reports

Output two reports:

• security-report-technical.md — Full details for engineers
• security-report-executive.md — Summary for leadership

See references/report-templates.md for output structure.

TDD Pattern

For each vulnerability, generate three test types:

Copydef test_vuln_exists():
    """PASS before fix, FAIL after"""
    assert is_vulnerable("component") == True

def test_fix_works():
    """Unit test for remediation code"""
    result = apply_fix(vulnerable_config)
    assert result.is_secure()

def test_vuln_resolved():
    """FAIL before fix, PASS after"""
    assert is_vulnerable("component") == False

Fix Types by Finding

Example Interaction

User: "Run a security scan on this project"

Claude:

1. Discovers 47 npm dependencies, 3 Dockerfiles, 2 Terraform configs
2. Fetches current CVE data from OSV.dev
3. Identifies 12 vulnerabilities (2 critical, 4 high, 6 medium)
4. Generates phased remediation plan with:
   • Actual fix commands (npm install lodash@4.17.21)
   • Code patches for IaC misconfigurations
   • TDD tests proving each fix works
5. Outputs technical and executive reports