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ai-confirm-mcp

Analyze PHP audit findings with AI to confirm vulnerability exploitability.

80|6|Updated Feb 27, 2026
Search Tags:#vulnerability#php#ai#security audit#confirmation#exploitability
One-click install
npx skills add https://github.com/yunmengya/PHP_AUDIT_SKILLS --skill ai-confirm-mcp
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-confirm-mcp
Source: https://github.com/yunmengya/PHP_AUDIT_SKILLS/tree/main/ai-confirm-mcp
Command: npx skills add https://github.com/yunmengya/PHP_AUDIT_SKILLS --skill ai-confirm-mcp

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires claude, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill leverages AI to automatically confirm the exploitability of security vulnerabilities identified during a PHP audit, providing a crucial validation step.

Core Features & Use Cases

  • AI-driven Validation: Uses AI models to analyze vulnerability context and determine exploitability.
  • Contextual Analysis: Processes detailed context including findings, traces, call graphs, and source code.
  • Structured Output: Generates a JSON report detailing exploitability, severity, reachability, impact, and complexity.
  • Use Case: After a static analysis identifies a potential SQL injection, this Skill uses AI to analyze the surrounding code and dynamic request data to confirm if it's truly exploitable and assign a severity.

Quick Start

Use the ai-confirm-mcp skill to confirm exploitability for the finding with ID 'SQLI-001'.

Frequently Asked Questions about ai-confirm-mcp

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I confirm PHP vulnerability exploitability after a static security audit?▼

To confirm PHP vulnerability exploitability after an audit, you can use AI to analyze contextual data like call graphs and source code. This Skill processes detailed JSON context files for each finding to generate a structured assessment of reachability and impact.

What is AI-driven exploitability confirmation for security findings?▼

AI-driven exploitability confirmation is the process of validating security findings by assessing reachability, impact, and complexity. It analyzes surrounding code and dynamic request data to determine if a potential vulnerability like SQL injection is truly exploitable.

How do I validate SQL injection or RCE findings using AI models?▼

To validate SQL injection or RCE findings using AI models, provide a detailed JSON context file for each specific finding. The AI analyzes the provided traces, call graphs, and source code to output a structured JSON report confirming exploitability and severity.

Do I need detailed JSON context files to assess vulnerability reachability?▼

Yes, you need detailed JSON context files to assess vulnerability reachability effectively. These files must include findings, traces, call graphs, and source code to drive the AI analysis and generate accurate exploitability assessments.

Can I use Claude to analyze PHP security audit results and assign severity?▼

Yes, you can use Claude to analyze PHP security audit results and assign severity. The Skill leverages Claude as a dependency to process vulnerability context and generate a structured JSON report detailing exploitability, severity, and complexity.

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