How I Cut Security Audits from 8 Hours to 3 Minutes Using AI

Security audits are critical for protecting applications, but they're time-consuming. A comprehensive manual security review - checking for SQL injection, XSS vulnerabilities, authentication flaws, and OWASP Top 10 compliance - typically takes 8+ hours for a medium-sized codebase. That's an entire workday spent on a task that needs to happen regularly.

For months, I'd been using custom Claude Code commands to automate this process - turning those 8-hour manual reviews into 3-minute automated audits with reproducible reports and OWASP Top 10 coverage. The problem? I had to manually copy these commands between various project environments.

Then Claude Code released their Plugins and Skills features with marketplace support (October 2025). Finally, I had a way to centralize everything I'd built over the past months and share it with the community. I packaged my entire toolkit - security auditor, performance analyzer, git automation, and more - into an open-source plugin marketplace. Now anyone can install the full collection with a single command. Here's how it works and why it matters.

The Problem: Manual Security Audits#

Traditional security audits are thorough but painfully slow. Each audit requires systematically reviewing code for common vulnerabilities:

• Searching for SQL injection patterns in database queries
• Checking for XSS vulnerabilities in user input handling
• Analyzing authentication and authorization logic
• Reviewing dependency versions for known CVEs
• Scanning for hardcoded secrets and API keys
• Validating OWASP Top 10 compliance across the codebase
• Writing detailed findings with code examples
• Creating remediation plans with priority rankings

This process is not only time-consuming but also inconsistent. Different auditors might focus on different areas, produce reports in varying formats, and miss patterns that others would catch. Documentation becomes a bottleneck, and tracking improvements over time is challenging.

The Solution: Claude Code Plugins#

Claude Code's plugin system, which shipped in October 2025, lets developers extend Claude with custom commands, agents, and skills. Unlike ad-hoc scripts or one-off commands, plugins provide:

• Installable commands: Add new slash commands like /security-audit directly to Claude Code
• Specialized agents: Background agents with deep expertise in specific domains
• Marketplace distribution: Share plugin collections via GitHub repositories
• Reproducible workflows: Consistent execution across teams and machines

More importantly, Claude Code introduced plugin marketplaces - a way to centralize plugin collections and install entire toolkits with a single command. This makes it trivial to sync custom workflows across different machines and team environments.

# Add a plugin marketplace
/plugin marketplace add charlesjones-dev/claude-code-plugins-dev

# Install the security plugin
/plugin install ai-security@claude-code-plugins-dev

# Configure file exclusions (IMPORTANT: run this first!)
/security-init

# Run a security audit
/security-audit

The AI-Security Plugin: 8 Hours to 3 Minutes#

I built the ai-security plugin to automate comprehensive security audits using AI-powered code analysis. The plugin provides the command - /security-audit - that performs the same analysis a security engineer would do manually, but in minutes instead of hours.

What Gets Analyzed#

The plugin performs deep analysis across multiple security domains:

• A01 - Broken Access Control
• A02 - Cryptographic Failures
• A03 - Injection (SQL, XSS, Command Injection)
• A04 - Insecure Design
• A05 - Security Misconfiguration
• A06 - Vulnerable and Outdated Components
• A07 - Identification and Authentication Failures
• A08 - Software and Data Integrity Failures
• A09 - Security Logging and Monitoring Failures
• A10 - Server-Side Request Forgery (SSRF)

• SQL injection (including blind and time-based variants)
• NoSQL injection (MongoDB operator injection, JavaScript injection)
• Cross-Site Scripting (XSS) - stored, reflected, and DOM-based
• Command injection and OS command execution
• LDAP, XML/XXE, and Template injection
• Path traversal and directory listing vulnerabilities

• Weak password policies and storage mechanisms
• Broken authentication flows and session management
• JWT token vulnerabilities (weak secrets, missing expiration, algorithm confusion)
• OAuth/SAML implementation flaws
• Multi-factor authentication bypasses
• Missing or improper authorization checks

• Sensitive data exposure (PII, credentials, API keys)
• Weak or broken cryptographic implementations
• Insecure data storage and insufficient encryption
• API rate limiting and DoS protection gaps
• Broken object-level authorization (IDOR)
• Mass assignment vulnerabilities
• Excessive data exposure in API responses

• Security headers (CORS, CSP, HSTS) configuration
• Hardcoded secrets and environment variable exposure
• File upload vulnerabilities (unrestricted types, size limits, malicious content)
• Business logic flaws (race conditions, price manipulation, privilege escalation)
• Dependency vulnerabilities and outdated packages
• Error handling and information disclosure

Real Output Example#

Here's what an actual finding looks like from a security audit report:

### C-001: SQL Injection Vulnerability

**Location:** `src/services/UserService.cs:45`  
**Risk Score:** 9.8 (Critical)  
**Pattern Detected:** String concatenation in SQL query

**Vulnerable Code:**

```csharp
var query = $"SELECT * FROM Users WHERE id = {userId}";
var user = context.Database.ExecuteSqlRaw(query);
```

**Impact:**  
Attackers could inject malicious SQL to bypass authentication, extract sensitive data, or modify database records.

**Recommendation:**  
Use parameterized queries or ORM methods to prevent SQL injection.

**Secure Fix:**

```csharp
var user = context.Users.FirstOrDefault(u => u.Id == userId);
```

**Fix Priority:** Immediate (within 24 hours)

Each finding includes exact file paths and line numbers, making it easy to locate and fix issues.

Reproducible Audits with Custom Templates#

One of the most powerful features of the ai-security plugin is its use of customizable audit templates. Unlike Claude Code's built-in /security-review command, which provides ad-hoc analysis, the plugin uses structured templates that ensure consistency and reproducibility.

Why Templates Matter#

The plugin includes a comprehensive audit template covering all the security domains detailed above - from injection attacks and authentication flaws to API security and business logic vulnerabilities - along with OWASP Top 10 compliance assessment and regulatory constraint analysis (PCI-DSS, HIPAA, GDPR). The template is embedded within the command markdown file itself (inside <template> tags) and can be customized via Git fork to match specific organizational needs:

• Compliance emphasis: Prioritize specific regulatory requirements (e.g., emphasize PCI-DSS for payment systems)
• Custom security policies: Include company-specific security standards and internal requirements
• Framework-specific checks: Tailor analysis for React, Vue, .NET, or other frameworks
• Severity thresholds: Define what constitutes critical vs. high vs. medium risk for your organization
• Report formatting: Customize output structure and detail level for different stakeholders

Modifying the Template#

Since the plugin marketplace is distributed via GitHub, customization is straightforward:

# Fork the repository on GitHub and rename it to avoid conflicts
# Example: yourcompany/claude-code-plugins-yourcompany

# Clone your fork
git clone https://github.com/yourcompany/claude-code-plugins-yourcompany
cd claude-code-plugins-yourcompany

# Edit the security audit template
nano plugins/ai-security/commands/security-audit.md

# Customize for your needs (add checks, modify report structure, etc.)

# Add your forked marketplace to Claude Code
/plugin marketplace add yourcompany/claude-code-plugins-yourcompany

# Install your customized plugin
/plugin install ai-security@yourcompany/claude-code-plugins-yourcompany

This approach gives teams complete control over their security auditing process while maintaining the benefits of automation.

Timestamped Report Output#

All audit reports are saved to /docs/security/{timestamp}-security-audit.md with a timestamped filename format like 2025-10-17-143022-security-audit.md. This prevents overwrites and creates an automatic audit trail for tracking improvements over time:

docs/security/
├── 2025-09-15-091532-security-audit.md  # Initial audit
├── 2025-10-01-143022-security-audit.md  # After fixes
└── 2025-10-17-164511-security-audit.md  # Current state

This makes it easy to compare audits, demonstrate compliance improvements, and track security posture over time.

How It Works: The Security-Auditor Agent#

The /security-audit command leverages Claude Code's specialized agent system to perform comprehensive security analysis. Here's what happens when you run the command:

1. File Exclusion Setup: Before the first audit, /security-init configures exclusions to prevent the agent from accessing confidential files (.env, credentials, private keys, etc.)
2. Agent Initialization: Claude Code launches the security-auditor agent with deep expertise in OWASP vulnerabilities and secure coding practices
3. Codebase Scanning: The agent analyzes source files, configuration files, and dependencies for security anti-patterns (while respecting configured exclusions)
4. Pattern Detection: AI identifies vulnerability patterns that match OWASP categories (injection, auth failures, etc.)
5. Context Analysis: Goes beyond pattern matching to understand code context and identify real vs. false positives
6. Report Generation: Creates a structured markdown report with findings, code examples, and remediation guidance
7. File Output: Saves the timestamped report to /docs/security/ with a consistent format

The specialized agent approach means the security analysis isn't just keyword searching - it's context-aware AI that understands authentication flows, data validation patterns, and architectural security design.

Real-World Impact: Time and Consistency Gains#

Time Savings#

The transformation from manual to automated security audits delivers dramatic time savings:

• Manual comprehensive audit: 8-10 hours for a medium-sized codebase
• Automated AI audit: 2-3 minutes for the same analysis
• Time multiplier: 160-200x faster

More importantly, the speed enables frequent auditing. Teams can run security audits:

• Before every production deployment
• After adding new features or API endpoints
• When integrating third-party libraries
• As part of CI/CD pipeline security gates
• During code reviews for high-risk changes

Consistency and Reproducibility#

Beyond speed, automated audits solve the consistency problem. Every audit:

• Follows the same comprehensive template
• Covers all OWASP Top 10 categories systematically
• Produces reports in identical format
• Uses the same severity scoring criteria
• Includes the same level of detail and code examples

This makes audits comparable over time and suitable for compliance documentation. Security teams can track trends, measure improvement, and demonstrate due diligence with confidence.

The Open-Source Plugin Marketplace#

The ai-security plugin is part of a broader toolkit I've open-sourced for the Claude Code community. The plugin marketplace includes:

Available Plugins#

ai-security: Automated security auditing with OWASP Top 10 coverage and reproducible reports

ai-performance: Performance bottleneck detection, N+1 query identification, and optimization guidance

ai-git: Intelligent git automation that analyzes changes and generates commit messages matching your repo's style

ai-plugins: Meta-plugin for scaffolding new Claude Code plugins with interactive prompts

Installation#

Getting started takes less than a minute:

# Add the marketplace
/plugin marketplace add charlesjones-dev/claude-code-plugins-dev

# Install the security plugin
/plugin install ai-security@claude-code-plugins-dev

# IMPORTANT: Configure file exclusions first!
/security-init

# Run your first audit
/security-audit

# Review the generated report
# Located at: /docs/security/{timestamp}-security-audit.md

Why Open Source#

I built these plugins to solve my own workflow problems - syncing custom commands across machines, sharing tools with coworkers, and maintaining consistent development practices. Making them open source serves several goals:

• Community benefit: Others face the same challenges; why not share solutions?
• Transparency: Security tools should be auditable and trustworthy
• Customization: Fork and modify to match your team's exact needs
• Collaboration: Community contributions improve the plugins for everyone
• Ecosystem growth: Demonstrating what's possible with Claude Code plugins

When to Use AI-Security vs. Built-In /security-review#

Claude Code ships with a native /security-review command that provides basic security analysis. Here's when to use each:

Use /security-review for:#

• Quick ad-hoc security checks during development
• Reviewing a specific code change or pull request
• Getting immediate feedback on a security question
• Exploratory analysis without documentation needs

Use /security-audit (ai-security plugin) for:#

• Formal security audits before production deployments
• Compliance documentation and regulatory requirements
• Reproducible audits with consistent formatting
• Tracking security improvements over time
• Team-wide security assessments
• Custom audit templates tailored to your stack

Think of /security-review as a quick consult with a security expert, while /security-audit is a comprehensive formal assessment with documentation suitable for stakeholders.

Best Practices for Security Auditing#

Protecting Confidential Files with /security-init#

Before running your first security audit, it's critical to configure file exclusions using the /security-init command. This prevents the AI security agent from accessing sensitive files that contain credentials, secrets, or other confidential data.

• Security audits need to analyze your codebase, but should never access actual secrets or credentials
• Files like .env, credentials.json, private keys, and certificates contain sensitive data
• The /security-init command creates exclusion rules in your Claude Code configuration
• These exclusions ensure the security agent analyzes code patterns without accessing confidential files

• Environment files: .env, .env.local, .env.production
• Credential files: credentials.json, secrets.yaml, config/secrets/*
• Private keys: *.pem, *.key, *.p12, *.pfx
• Certificates: *.crt, *.cer
• API keys: Files containing apikey, api-key, token in their names
• Database dumps: *.sql, *.dump, backups/*

When to Run Audits#

• Before production deployments and releases
• After implementing authentication or authorization features
• When adding new API endpoints or external integrations
• After updating dependencies or frameworks
• During quarterly security reviews
• As part of CI/CD security gates for high-risk branches

How to Use Audit Results#

1. Triage by severity: Address critical and high findings immediately
2. Review code context: Understand why each finding is a risk
3. Apply remediation examples: Use provided secure code fixes as templates
4. Test thoroughly: Ensure security patches don't break functionality
5. Re-audit after fixes: Verify vulnerabilities are resolved
6. Track trends: Compare timestamped reports to measure security posture improvements

Limitations to Understand#

AI-powered security auditing is powerful but not a replacement for all security testing:

• Static code analysis and pattern detection
• Architecture and configuration security review
• OWASP Top 10 compliance checking
• Dependency vulnerability assessment
• Secure development guidance

• Runtime penetration testing
• Dynamic application security testing (DAST)
• Network security scanning
• Social engineering or phishing assessment
• Replace manual security testing by experts

The Future of Automated Security#

The release of Claude Code's plugin system represents a fundamental shift in how developers can extend and automate their workflows. What used to require custom scripts, scattered documentation, and manual processes can now be packaged into installable, shareable plugins.

My ai-security plugin demonstrates this potential by turning an 8-hour manual security audit into a 3-minute automated process - without sacrificing quality or comprehensiveness. By leveraging AI-powered code analysis, customizable templates, reproducible reporting, and built-in protections for confidential files (via /security-init), security audits become something teams can run frequently rather than dread as an occasional bottleneck.

But this is just the beginning. The plugin marketplace includes tools for performance optimization, git automation, and plugin scaffolding - all open source and ready to use with more coming soon! Whether you install the entire toolkit or fork and customize individual plugins, the goal is the same: make powerful development workflows accessible to everyone.

Security doesn't have to be slow. Audits don't have to be inconsistent. And developer tools don't have to be locked away in proprietary systems. The Claude Code plugin ecosystem is just getting started, and I'm excited to see what the community builds next.