vercel-labs/deepsec

deepsec

Run deepsec, an AI-powered cyber-security vulnerability scanner.

Ver código-fonte

Como usar

  1. Copie o comando e verifique o pacote antes de instalar no seu ambiente de agente.
  2. Consulte no original as ferramentas, credenciais e ambientes necessários.
  3. Descreva os dados de entrada e a entrega esperada; confira a saída com as fontes.
npx skills add https://github.com/vercel-labs/deepsec --skill deepsec

Antes de começar

  • A instalação não inclui assinatura de modelo, franquia API ou acesso aos seus arquivos.
  • Estrelas e instalações indicam atividade, não um teste independente de qualidade ou segurança.
Documento original do Skill

Renderizado do repositório de origem, preservando títulos, exemplos, código, tabelas, links e imagens.

/deepsec — scan this repository with deepsec

deepsec is an AI-powered vulnerability scanner.

  • Modern AI models are great at security code review.
  • Most review solutions only run on pull requests.
  • That means most legacy code was never reviewed, and your code from 6

months ago was reviewed by older models.

  • Instead deepsec does security review on ALL of your existing code using

scaled VM fanout.

  • Vercel's deepsec is open source, runs in your own infrastructure, and

supports strong agent sandboxing.

A fast regex scan flags candidate files, then AI agents investigate each candidate in depth and record findings with severity ratings; findings can later be revalidated, triaged, and exported. Everything it adds to a repository lives in a single .deepsec/ workspace (config, installed package, per-project data). Because processing runs real AI agents, it costs money in proportion to how much code it investigates.

Follow this runbook when the user invokes /deepsec or asks for a scan.

1. Ask for scope first

Ask the user which scope to process, using a structured question tool if you have one (AskUserQuestion in Claude Code), otherwise plain text:

  • Uncommitted changes — working tree + untracked files
  • Diff to main — changes vs origin/main (use main if there is no

origin remote)

  • Entire codebase — warn that this is the expensive option: AI

processing investigates every candidate file and can cost real money on a large repository

Ask before doing anything else so the rest of the flow can run unattended.

2. Detect onboarding state

From the repository root:

  • No `.deepsec/deepsec.config.ts` → not onboarded. Do step 3 in full.
  • .deepsec/ exists but .deepsec/node_modules/deepsec is missing, or a

previous setup was interrupted** → re-run the init command from step 3; it resumes from checkpoints and repairs the install rather than starting over.

  • Otherwise → onboarded; skip to step 4.

3. Onboard without full processing

Onboarding normally ends with an AI processing pass over the whole repository. Since the user already chose a scope, stop setup after the coverage phase — that still includes install, login, threat model, matcher generation, and the final regex scan, but skips the full-repo AI process phase. The scoped processing happens in step 4 instead.

From the repository root, inspect the read-only plan, then run setup:

bash
npx -y deepsec init --plan --output json
npx -y deepsec init --yes --through coverage --output jsonl

Parse every output line as JSON. On a needs_input event, show the supplied message and actions to the user rather than inventing remediation. In particular, VERCEL_AUTH_REQUIRED normally asks the user to run npx vercel login; after they do, follow the returned link action from inside .deepsec (use npx vercel link when the user needs to choose a project), then re-run the same init command. Exit code 2 means input is needed; exit code 3 means a cost/duration boundary stopped the resumable run — re-running the same command resumes it. Never expose credential values, bypass --yes prompts on the user's behalf beyond the flag itself, or launch an interactive login yourself.

4. Run the scoped processing

Run from inside .deepsec/ (the config loader only finds deepsec.config.ts in the current directory or its ancestors; after step 3, npx deepsec resolves to the copy installed there):

ScopeCommand
Uncommitted changescd .deepsec && npx deepsec process --diff-working
Diff to maincd .deepsec && npx deepsec process --diff origin/main
Entire codebase, right after step 3cd .deepsec && npx deepsec process (the final scan from setup already produced the candidate set)
Entire codebase, previously onboardedcd .deepsec && npx deepsec scan && npx deepsec process

5. Interpret results

  • Direct-mode (--diff*) exit codes: 0 = no net-new findings, 1 = at

least one net-new finding (not an error), anything else = runtime error. Pre-existing findings on touched files are excluded from the gate.

  • Summarize any findings for the user, then offer follow-ups (all from

inside .deepsec/): npx deepsec report, npx deepsec revalidate, and npx deepsec export --format md-dir --out ./findings.

Going deeper

After onboarding, full documentation ships with the installed package at .deepsec/node_modules/deepsec/dist/docs/ — getting-started.md, reviewing-changes.md (direct mode, exit codes, CI gating), configuration.md, models.md, and more. Read the relevant doc before varying the commands above; flags and defaults change between releases.

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