analyze

Run roto-rooter checks and SQL extraction against local paths or Git URLs.

Updated Jan 16, 2026
One-click install
npx skills add https://github.com/glideapps/roto-rooter --skill analyze-glideapps
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analyze
Source: https://github.com/glideapps/roto-rooter/tree/main/.claude/skills/analyze
Command: npx skills add https://github.com/glideapps/roto-rooter --skill analyze-glideapps

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Red-team verification of roto-rooter findings against one or more real applications.

Core Features & Use Cases

  • Runs all checks and SQL extraction, then spins up subagents to independently validate each finding.
  • Supports multiple local paths and remote Git URLs, with per-app and aggregate reporting.
  • Use cases include verifying accuracy, auditing apps with third-party validation, or testing false positives.

Quick Start

Use the analyze skill to verify roto-rooter findings against real apps by specifying one or more app targets.

Frequently Asked Questions about analyze

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

FAQPage Schema
How do I verify roto-rooter findings against real applications?

Multi-app analysis verifies roto-rooter findings by deduplicating targets across multiple applications, running comprehensive checks and SQL extraction on each, and spawning independent subagents to validate findings before producing per-app and aggregate reports.

Can I analyze remote Git repositories or do I need local app paths?

Both local paths and remote Git URLs are supported for analysis. The workflow clones remote repositories locally, executes checks and SQL extraction, and then cleans up temporary clones after generating per-app and aggregate reports.

What is adversarial validation and how does it check SQL extraction findings?

Adversarial validation uses subagents to independently verify each finding. This red-team verification approach ensures SQL extraction results and roto-rooter findings are checked for accuracy and false positives across one or more real applications.

Does multi-app analysis support deduplication for overlapping targets?

Multi-app analysis coordinates target deduplication across specified applications. This ensures efficient processing by removing overlapping targets before running checks, extracting SQL, and spawning subagents to verify each roto-rooter finding independently.

What is the best way to audit apps for false positives in roto-rooter findings?

The best approach uses subagents to independently validate each roto-rooter finding after running comprehensive checks and SQL extraction. This red-team verification audits real applications for false positives and produces detailed per-app and aggregate reports.