sca-ai-denoise

Filter and rank SCA findings by exploit risk into P0-P3 priorities.

316|42|Updated Apr 5, 2026
One-click install
npx skills add https://github.com/xwtro0tk1t-cloud/harness --skill sca-ai-denoise
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sca-ai-denoise
Source: https://github.com/xwtro0tk1t-cloud/harness/tree/main/bundled-skills/sca-ai-denoise
Command: npx skills add https://github.com/xwtro0tk1t-cloud/harness --skill sca-ai-denoise

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

SCA scan results often generate noisy vulnerability lists. This skill uses AI to evaluate multi-dimensional risk and apply P0-P3 prioritization, filtering non-exploitable or low-impact findings to help security teams focus on truly actionable vulnerabilities.

Core Features & Use Cases

  • AI-driven risk ranking: orders vulnerabilities by exploitability and business impact.
  • Noise filtering: removes irrelevant findings per the defined policy and reduces alert fatigue.
  • Supply chain risk assessment: evaluates package health, maintainers, and remediation options to inform risk decisions.

Quick Start

Feed the AI with your SCA findings and return a prioritized P0-P3 list with brief explanations.

Frequently Asked Questions about sca-ai-denoise

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

FAQPage Schema
How do I reduce noise and prioritize SCA vulnerabilities from scan results?

To reduce SCA vulnerability noise, you can filter scan findings by true exploitability and business impact. This process applies a multi-dimensional risk framework to evaluate package health and severity, producing a P0-P3 prioritized list of actionable vulnerabilities.

What is SCA risk prioritization and how does it help with alert fatigue?

SCA risk prioritization is the process of ranking software composition analysis findings by true exploit risk. It reduces alert fatigue by filtering non-exploitable or low-impact vulnerabilities, enabling security teams to focus only on truly actionable threats.

Can I use SCA denoise with Grype, Snyk, and Xray vulnerability outputs?

Yes, SCA denoise works with vulnerability outputs from Grype, Snyk, and Xray. You simply feed the AI a JSON array of vulnerabilities containing fields like cve_id, package, severity, and description to generate a prioritized P0-P3 list.

What JSON input format is required for AI-driven SCA risk ranking?

AI-driven SCA risk ranking requires a JSON array of vulnerabilities. Each object must contain specific fields including index, cve_id, package, severity, title, and description to properly evaluate exploitability and apply P0-P3 prioritization.

How does AI evaluate supply chain risk for vulnerable packages?

AI evaluates supply chain risk by analyzing package health, maintainer activity, and available remediation options. This multi-dimensional assessment informs risk decisions and filters out non-exploitable findings from your SCA vulnerability reports.