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 large-scale repos.

deepsec is designed to surface hard-to-find issues that have been lurking in applications for a long time. It is configured to use the best models at maximum thinking levels, meaning scans can cost thousands or even tens-of-thousands of dollars for large codebases. Our customers have found the cost worth it for how quickly they were able to patch vulnerabilities that would have otherwise gone unfixed.

For large codebases, work fans out across worker machines in parallel. Commands are idempotent — interrupt a job, restart it, and deepsec picks up where it left off.

Get started

Navigate to the root of the repository that you want to scan, then:

npx deepsec init       # creates .deepsec/ with this repo as the first project
cd .deepsec
pnpm install           # installs deepsec from npm

# Proceed as instructed by `init` output

Now have your coding agent bootstrap your installation. Open the agent of choice and prompt:

Read .deepsec/node_modules/deepsec/SKILL.md to understand the tool. Then read .deepsec/data//SETUP.md and follow it: skim this repo's README, any AGENTS.md/CLAUDE.md, and a handful of representative code files, then replace each section of .deepsec/data//INFO.md.

Keep it SHORT — target 50–100 lines total. Pick 3–5 examples per section, not exhaustive enumeration. Name primitives (auth helpers, middleware) but no line numbers. Skip generic CWE categories — built-in matchers cover those. Cover only what's project-specific. INFO.md is injected into every scan batch; verbose context dilutes signal.

Then scan from inside .deepsec/:

pnpm deepsec scan
pnpm deepsec process    
pnpm deepsec revalidate # optional, cuts FP rate
pnpm deepsec export --format md-dir --out ./findings

Docs

• docs/getting-started.md — first-scan walkthrough
• docs/writing-matchers.md — prompt your coding agent to grow your matcher set
• docs/configuration.md — deepsec.config.ts reference
• docs/plugins.md — plugin authoring
• docs/models.md — model selection, defaults, refusals, future models
• docs/vercel-setup.md — AI Gateway + Vercel Sandbox keys / tokens
• docs/architecture.md — pipeline internals
• docs/data-layout.md — data/ schemas (FileRecord, RunMeta, …)
• docs/faq.md — cost, model choice, sandbox mode, FP rate
• samples/ — copy-paste starting points (currently: webapp/)
• CONTRIBUTING.md — repo layout, dev workflow

AI provider

When running locally, deepsec attempts to use your existing subscriptions when invoking claude or codex.

For scaled usage on large