deepsec-integration

Run Vercel DeepSec semantic security scans on Walter-OS-tracked repositories.

6|1|Updated May 13, 2026
One-click install
npx skills add https://github.com/Xipher-Labs/walter-os --skill deepsec-integration
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deepsec-integration
Source: https://github.com/Xipher-Labs/walter-os/tree/main/skills/deepsec-integration
Command: npx skills add https://github.com/Xipher-Labs/walter-os --skill deepsec-integration

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It solves the problem of missing hard-to-find security vulnerabilities by running Vercel DeepSec for semantic, agent-powered code analysis in addition to cheaper dependency/CVE checks.

Core Features & Use Cases

  • Agent-powered deep vulnerability discovery: Detects subtle auth-bypass paths, TOCTOU race conditions, crypto misuse, SSRF in user-controlled handlers, and more.
  • Operator-invoked, cost-aware scanning: Enforces explicit budget confirmation and confirmation gates so expensive scans do not run accidentally.
  • Integration into a repeatable ops workflow: Fits a pre-launch deep audit, post-incident root cause analysis, quarterly deep dives, and scoping to specific repositories.

Quick Start

Ask the operator to run a DeepSec scan for your tracked repository by providing the repo scope and confirming the scan budget before execution.

Frequently Asked Questions about deepsec-integration

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

FAQPage Schema
How do I run a deep security audit to find semantic vulnerabilities in my repository?

A deep security audit uses agent-powered vulnerability discovery to scan your tracked repository for semantic flaws like auth-bypass paths and crypto misuse. You initiate it by asking an operator to run a DeepSec scan with explicit repo scoping and budget confirmation.

What types of hard-to-find vulnerabilities does agent-powered code analysis detect?

Agent-powered code analysis detects subtle semantic vulnerabilities including TOCTOU race conditions, SSRF in user-controlled handlers, and crypto misuse. It uncovers complex security flaws that standard dependency and CVE checks typically miss.

How do I execute a DeepSec scan without exceeding my LLM spend budget?

To execute a DeepSec scan without overspending, the system enforces operator-invoked, cost-aware scanning with mandatory budget confirmation gates. You must explicitly confirm the scan budget before the expensive analysis runs to prevent accidental execution.

Can I use semantic code scanning for post-incident root cause analysis?

Yes, semantic code scanning is effective for post-incident root cause analysis. It integrates into repeatable ops workflows, fitting pre-launch deep audits, quarterly deep dives, and targeted scans to uncover the exact vulnerabilities causing incidents.

Does deep security scanning replace standard dependency and CVE checks?

Deep security scanning does not replace dependency and CVE checks but complements them. It performs agent-powered semantic analysis to find hard-to-find vulnerabilities like auth-bypass paths and TOCTOU race conditions that cheaper checks miss.

What are the limitations of running agent-powered vulnerability discovery?

Limitations include requiring explicit operator invocation and budget confirmation for every run, meaning it cannot execute automatically. Safe repo scoping is mandatory, and the process involves specific execution steps like init, scan, process, and optional export.