deepsec

Automate local codebase vulnerability scanning with vercel-labs/deepsec.

16|3|Updated May 5, 2026

Search Tags:#automation #security #vulnerability #codebase #audit #calibration

Ready to run

npx skills add https://github.com/Kevin-Liu-01/Agent-Machines --skill deepsec

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: deepsec
Source: https://github.com/Kevin-Liu-01/Agent-Machines/tree/main/knowledge/skills/deepsec
Command: npx skills add https://github.com/Kevin-Liu-01/Agent-Machines --skill deepsec

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Scans local codebases for vulnerabilities using vercel-labs/deepsec, enabling engineers to conduct proactive security reviews with cost-aware calibration.

Core Features & Use Cases

End-to-end vulnerability scanning from init to export.
Project-aware context and regex-based pre-scan with AI-assisted analysis for candidate findings.
Use Case: pre-release audits to surface critical vulnerabilities and recommended fixes.

Quick Start

Run a vulnerability scan on the local repository using vercel-labs/deepsec with a calibrated limit.

Frequently Asked Questions about deepsec

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

FAQPage Schema

How do I automate vulnerability scanning for a local codebase before a release?▼

Automate vulnerability scanning for a local codebase using a multi-phase pipeline from init to export. This skill leverages vercel-labs/deepsec to run AI-assisted analysis with cost-aware calibration, surfacing critical findings and recommended fixes for pre-release security audits.

Can I run a security audit on a partner repository with cost controls?▼

You can run a security audit on a partner repository with enforced cost controls. The scanning pipeline applies cost-aware calibration and enforces prerequisites, ensuring vulnerability scans remain within budget while providing AI-assisted analysis of candidate findings.

How does regex-based pre-scan work for codebase vulnerability detection?▼

Regex-based pre-scanning works by applying project-aware context and pattern matching to identify candidate findings in a local codebase. After pre-scanning, AI-assisted analysis evaluates these candidates to triage and revalidate vulnerabilities before generating a final export.

What is the best way to respond to a CVE in my project repository?▼

The best way to respond to a CVE is by automating a targeted vulnerability scan of your local codebase. This initiates a scan, process, and triage pipeline using vercel-labs/deepsec to accurately detect, revalidate, and export affected code areas for CVE responses.

Does deepsec support due diligence for projects of varying sizes?▼

deepsec supports due diligence for projects of varying sizes by applying cost-aware calibration to the vulnerability scanning pipeline. It scales from init to export while enforcing prerequisites and cost controls to manage security audits across different repository scopes.

Why does my vulnerability scan require prerequisite enforcement and calibration?▼

Vulnerability scans require prerequisite enforcement and calibration to maintain cost controls and ensure accurate AI-assisted analysis. Enforcing these constraints before initiating the multi-phase scanning pipeline prevents budget overruns and false positives during triage.