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.