fp-check

Verify suspected security bugs by analyzing code paths and exploitability.

1|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/rohanbhatia27/rohanstutoring-redesign --skill fp-check-rohanbhatia27
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fp-check
Source: https://github.com/rohanbhatia27/rohanstutoring-redesign/tree/main/.agents/skills/fp-check
Command: npx skills add https://github.com/rohanbhatia27/rohanstutoring-redesign --skill fp-check-rohanbhatia27

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill systematically verifies suspected security bugs to eliminate false positives, providing TRUE POSITIVE or FALSE POSITIVE verdicts with documented evidence.

Core Features & Use Cases

  • Bug Verification: Verifies the validity of suspected security bugs.
  • False Positive Elimination: Identifies and eliminates false positives.
  • Documentation: Provides documented evidence for each bug's verdict.
  • Use Case: When a security bug is suspected, use this Skill to verify its validity and determine if it is a true positive or a false positive.

Quick Start

Execute the 'fp-check' Skill to verify the suspected security bug in the provided code snippet.

Frequently Asked Questions about fp-check

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

FAQPage Schema
How do I verify suspected security bugs to eliminate false positives during a code review?

To verify suspected security bugs and eliminate false positives, you need to systematically analyze code paths, data flow, and exploit scenarios. This process determines whether a flagged vulnerability is a true positive or false positive by validating actual exploitability.

What is the best way to check if a suspected vulnerability is a false positive or true positive?

Checking if a vulnerability is a false positive or true positive requires analyzing the code's data flow and potential exploit scenarios. By tracing data paths and assessing exploitability, you can issue a documented verdict confirming the bug's validity.

How does data flow analysis work for false positive elimination in security audits?

Data flow analysis for false positive elimination works by tracing how data moves through code paths to assess actual exploitability. It systematically verifies suspected security bugs during audits, providing documented evidence that confirms or refutes the vulnerability.

Can I use automated bug verification for vulnerability assessments on any codebase?

You can use bug verification for vulnerability assessments on a codebase with suspected security bugs. It systematically analyzes code paths and data flow to determine exploitability, delivering a true positive or false positive verdict with documented evidence.

When do I need false positive elimination during a security audit?

You need false positive elimination during a security audit when suspected vulnerabilities are flagged but their actual exploitability is unclear. It systematically verifies code paths and data flow to ensure only true positive security bugs are reported.

What evidence is provided when verifying a suspected security bug?

When verifying a suspected security bug, documented evidence is provided alongside a definitive true positive or false positive verdict. This evidence is generated by systematically analyzing the code's paths, data flow, and potential exploit scenarios.