Security Review & Permission Governance · Public

deepsec

`deepsec` an agent-powered vulnerability scanner that you can run in your own infrastructure, optimized to perform on-demand review of all code in existing

Best fitUsers who want source-backed project understanding before installing it.

Check whether this project matches your task before installing it.

What it can doskill, recipe, host_instruction, eval, preflight

Review the portable capability path.

Before continuingVerify in a sandbox

Do not treat a preview pack as a proven local install.

GitHub snapshotstars unavailable

forks unavailable · contributors unavailable

Doramagic.ai Last verification date: 2026-07-19 Verification method: source evidence, semantic profile, public page gate, and static build acceptance.

Official first step Read manual preview Source repository

Publication status · 2026-07-19

What is deepsec?

`deepsec` an agent-powered vulnerability scanner that you can run in your own infrastructure, optimized to perform on-demand review of all code in existing
Best fit: Users who want source-backed project understanding before installing it.
Not for: Not for users who want to skip sandbox verification or cannot accept configuration, permission, or maintenance overhead.
Capability added to an AI workflow: skill, recipe, host_instruction, eval, preflight
First safe verification step: Verify the smallest path in an isolated environment and keep a rollback path.
Verification state: source, Quick Start, and sandbox install checks are recorded as passed.
Top risk: May increase setup, validation, or first-run risk for the user.
Evidence base: https://github.com/vercel-labs/deepsec, https://news.ycombinator.com/item?id=48964215, https://github.com/vercel-labs/deepsec#readme, Human Manual

Quick decision

Use this section to decide whether the project is worth a deeper read.

Best forUsers who want source-backed project understanding before installing it.

Match the project to your task before installing it.

Capabilityskill, recipe, host_instruction, eval, preflight

`deepsec` an agent-powered vulnerability scanner that you can run in your own infrastructure, optimized to perform on-demand review of all code in existing

Repositoryvercel-labs/deepsec

stars unavailable · forks unavailable

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.

Repository Overview and System Architecture

Related topics: Agent Backends and AI Model Configuration, Scanner Engine and Matcher Library, CLI Workflows, Output Formats, and Distributed Execution

Source: https://github.com/vercel-labs/deepsec / Human Manual

Agent Backends and AI Model Configuration

Related topics: Repository Overview and System Architecture, CLI Workflows, Output Formats, and Distributed Execution

Source: https://github.com/vercel-labs/deepsec / Human Manual

Scanner Engine and Matcher Library

Related topics: Repository Overview and System Architecture, CLI Workflows, Output Formats, and Distributed Execution

Source: https://github.com/vercel-labs/deepsec / Human Manual

CLI Workflows, Output Formats, and Distributed Execution

Related topics: Repository Overview and System Architecture, Agent Backends and AI Model Configuration, Scanner Engine and Matcher Library

Source: https://github.com/vercel-labs/deepsec / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

Sources: https://github.com/vercel-labs/deepsec, Human Manual, Project Pack evidence, and downstream validation signals.

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.

Starsstars unavailable

Forksforks unavailable

Contributorscontributors unavailable

Licenseunknown

Community Discussion Evidence

3 source-linked items

Review these external discussions before using deepsec with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

01
Codex process fails with SIGKILL then ENOENT after bundled codex binary
github / github_issue
02
Add flag to configure reasoning effort
github / github_issue
03
Configuration risk requires verification
GitHub / issue

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.

Try the prompt first

Test the workflow without installing the upstream project.

preview

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify

npx deepsec

Official start command · https://github.com/vercel-labs/deepsec#readme · verified: yes

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

deepsec Manual

`deepsec` an agent-powered vulnerability scanner that you can run in your own infrastructure, optimized to perform on-demand review of all code in existing

Open the full manual

https://github.com/vercel-labs/deepsec Project Manual
Table of Contents
Repository Overview and System Architecture
Related Pages
Purpose and Scope
High-Level Architecture
System Components and Data Flow
Operational Concerns Raised by Users

Repository Overview and System Architecture

Related topics: Agent Backends and AI Model Configuration, Scanner Engine and Matcher Library, CLI Workflows, Output Formats, and Distributed Execution

Source: https://github.com/vercel-labs/deepsec / Human Manual

Agent Backends and AI Model Configuration

Related topics: Repository Overview and System Architecture, CLI Workflows, Output Formats, and Distributed Execution

Source: https://github.com/vercel-labs/deepsec / Human Manual

Scanner Engine and Matcher Library

Related topics: Repository Overview and System Architecture, CLI Workflows, Output Formats, and Distributed Execution

Source: https://github.com/vercel-labs/deepsec / Human Manual

CLI Workflows, Output Formats, and Distributed Execution

Related topics: Repository Overview and System Architecture, Agent Backends and AI Model Configuration, Scanner Engine and Matcher Library

Source: https://github.com/vercel-labs/deepsec / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

Download complete pack Read Human Manual

BundleComplete Project Pack AssetAI Context Pack AssetBoundary & Risk Card AssetHuman Manual AssetPitfall Log AssetPrompt Preview AssetQuick Start EvidenceREPO_INSPECTION.json

Preflight checks

Treat this page as a planning asset, not proof that your local environment is ready.

The manual is generated from source-linked project files and Doramagic validation signals.
Community evidence warnings stay visible instead of being converted into marketing claims.
This English page is indexable because the locale quality gate passed and explicit English index approval is enabled.
Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.