railguard-db-updates-orchestrated-scan

Coordinate 12 parallel subagents for multi-phase security analysis with SQLite progress tracking.

76|9|Updated Feb 27, 2026
One-click install
npx skills add https://github.com/Netflix-Skunkworks/railguard-skill --skill railguard-db-updates-orchestrated-scan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: railguard-db-updates-orchestrated-scan
Source: https://github.com/Netflix-Skunkworks/railguard-skill/tree/main/.claude/skills/railguard-db-updates-orchestrated-scan
Command: npx skills add https://github.com/Netflix-Skunkworks/railguard-skill --skill railguard-db-updates-orchestrated-scan

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Multi-phase security analysis of code repositories using 12 parallel subagents with SQLite-backed progress tracking. This approach enables resilience to context limits by persisting findings and scan state to a per-repo database, making large-scans reliable and auditable.

Core Features & Use Cases

  • Parallel subagents: Orchestrates 12 specialized subagents to analyze different vulnerability domains in parallel.
  • Progress tracking with SQLite: Stores scan state, phase results, and findings in a local SQLite database for crash resilience and benchmarking.
  • Large repository suitability: Designed for big codebases where inline context would be insufficient and benchmarking across scans is valuable.

Quick Start

Trigger a large-repo, DB-tracked orchestrated scan by running the orchestrated workflow against your repository.

Frequently Asked Questions about railguard-db-updates-orchestrated-scan

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

FAQPage Schema
How do I run a multi-phase security analysis on a large code repository?

You can track security scan progress using SQLite by persisting scan state, phase results, and findings in a local per-repo database, which provides crash resilience and enables benchmarking across scans.

Why does my security scan fail on large codebases due to context limits?

Security scans fail on large codebases due to context limits when inline processing is insufficient; this Skill resolves this by persisting findings and scan state to a SQLite database, making large scans reliable and resumable.

Can I resume an orchestrated security scan if it crashes midway?

Yes, you can resume an orchestrated security scan after a crash because the workflow uses SQLite-backed progress tracking to persist scan state and findings locally, ensuring the analysis can continue reliably.

What is the best way to benchmark security vulnerability scans across large repositories?

The best way to benchmark security vulnerability scans across large repositories is using a DB-backed orchestrated scan that stores phase results and findings in a local SQLite database, enabling consistent comparison and auditing.

Do I need any external dependencies to perform an orchestrated security scan with SQLite tracking?

No external dependencies are required to perform an orchestrated security scan with SQLite tracking, as the workflow operates self-contained using scripts and references to load rule manifests and coordinate the 12 parallel subagents.