Security Audit
Professional security audit skill for web apps and APIs with structured severity-based findings and remediation plans.
$10
Works with the AI Agents you already use
security-audit
Example session with this skill installed
Run a security audit on the user profile API and production environment variables. Identify vulnerabilities and provide remediation steps.
- Read your context and instructions
- Compiled the security-audit
[HIGH] Auth: Missing CSRF protection on /api/profile. Evidence: user_settings.js L42. Fix: Implement SameSite=Strict cookies and a double-submit token pattern.
[MED] Config: Debug mode enabled in production. Evidence: .env.prod L4. Fix: Set APP_DEBUG=false.
Connects securely to your tools. The creator never sees your data.
About this skill
What it does
The Security Audit skill provides a professional-grade framework for reviewing web applications, backend services, and APIs for critical security vulnerabilities. It systematically analyzes entry points, trust boundaries, and data paths to identify risks across authentication, session management, input validation, and infrastructure configuration.
Why use this skill
Unlike generic AI prompts that may provide speculative or vague security advice, this skill follows a structured commercial methodology. It focuses on defensible, high-impact risks rather than noise. It automates the "red-teaming" mindset to find insecure defaults and missing hardening steps that developers often overlook during standard code reviews.
Supported tools
- Claude Code
- Codex
- OpenCode
What the output looks like
You receive a structured security report categorized by severity. Each finding includes a concise risk statement, specific evidence from your codebase, and a concrete, actionable remediation plan to fix the vulnerability immediately.
Key coverage areas
- Authentication and Authorization flows
- Input validation and Output safety (XSS/SQLi prevention)
- Dependency hygiene and configuration hardening
- API transport security and exposure
- Limited to static analysis; cannot perform dynamic runtime fuzzing.
- Cannot detect logic flaws in third-party compiled binaries.
- Effectiveness depends on access to full source context.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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