Deepsec Docs logo

Deepsec Docs

OrganizationPopular
vercel-labs
deepsec-docs

Use deepsec (an AI-powered vulnerability scanner) — one-shot initialization, resumable setup, project/model credentials, scans, generated or hand-authored matchers, and plugins. Activates when the user asks how to initialize, scan, configure, resume, or extend deepsec.

Overview

Publishervercel-labs
Repositorydeepsec
Skill namedeepsec-docs
Stars
8K
Forks
485
Bundled files
71
LicenseApache-2.0
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 71 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by vercel-labs on GitHub. Read the source before you install it.

Installation

Install the Deepsec Docs AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/vercel-labs/deepsec.git /tmp/deepsec
mkdir -p .claude/skills
cp -r /tmp/deepsec/packages/deepsec .claude/skills/deepsec-docs
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Deepsec Docs in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Deepsec Docs on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Deepsec Docs is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

deepsec

deepsec is an AI-powered vulnerability scanner. The one-shot initializer installs this skill at .deepsec/node_modules/deepsec/SKILL.md. From inside the isolated workspace the same path is node_modules/deepsec/SKILL.md. In a Deepsec source clone, use the repository's docs/ directory instead.

When the user asks how to use, configure, or extend deepsec, read the relevant doc before answering — the docs are the source of truth, not your training data.

Where the docs are

From the target repository, .deepsec/node_modules/deepsec/dist/docs/; from inside .deepsec, node_modules/deepsec/dist/docs/; or from a Deepsec source clone, <deepsec-clone>/docs/:

  • getting-started.md — one-shot initialization and resume walkthrough
  • configuration.md — full deepsec.config.ts reference
  • plugins.md — plugin slots (matchers, notifiers, ownership, people, executor)
  • writing-matchers.md — generated declarative vs hand-authored matchers
  • models.md — model selection, defaults, refusals, future models
  • vercel-setup.md — exact project link, Sandbox scope, Gateway/BYOK/custom routes
  • architecture.md — pipeline internals
  • data-layout.md — data/ schemas (FileRecord, RunMeta, …)
  • faq.md — cost, model choice, sandbox mode, FP rate

How to answer common questions

  • "How do I install/init deepsec?" → getting-started.md; default to npx deepsec init, not a manual install/scan recipe.
  • "Setup stopped; how do I resume?" → getting-started.md + data-layout.md; re-run init or deepsec setup.
  • "How do I run another scan?" → getting-started.md after noting the first scan/process already ran during setup.
  • "What goes in deepsec.config.ts?" → configuration.md + samples/webapp/deepsec.config.ts.
  • "Why did setup generate a matcher?" → writing-matchers.md + the project's generated-matchers.ts.
  • "How do I add a richer matcher?" → writing-matchers.md + samples/webapp/matchers/*.ts.
  • "How do I write a plugin?" → plugins.md + samples/webapp/deepsec.config.ts (inline plugin pattern).
  • "What does deepsec actually do?" → architecture.md.
  • "What's in data/<id>/files/foo.json?" → data-layout.md.
  • "Which model / agent should I use?" → models.md.
  • "How do project linking, Sandbox, or my own credentials work?" → vercel-setup.md.

Read the doc before paraphrasing. The CLI flag set, defaults, and plugin-contract field names change — quote the doc, don't recall.

Agent-native initialization

When you are asked to initialize Deepsec from a non-TTY agent session, first inspect the read-only plan:

bash
npx deepsec init --plan --output json

Then run the requested policy, normally:

bash
npx deepsec init --yes --model-profile value --output jsonl

Parse every output line as JSON. On needs_input, 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, or the returned parameterized --yes --team <team-slug> --project <project-name> form for a known existing project. Then rerun the same Deepsec command. Exit code 2 means input is needed and exit code 3 means a requested cost/duration boundary stopped the resumable run. Never expose credential values, bypass --yes, or launch an interactive login yourself.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

and 11 more files.

Frequently asked questions

What does the Deepsec Docs AI skill do?

Use deepsec (an AI-powered vulnerability scanner) — one-shot initialization, resumable setup, project/model credentials, scans, generated or hand-authored matchers, and plugins. Activates when the user asks how to initialize, scan, configure, resume, or extend deepsec.

Why use Deepsec Docs on TypingMind?

Because you install it once and use it with any model. Deepsec Docs is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Deepsec Docs in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vercel-labs/deepsec/tree/main/packages/deepsec. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Deepsec Docs?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Deepsec Docs?

As many as you like. As long as a model supports skills, you can use Deepsec Docs with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Deepsec Docs AI skill free?

Yes. It is published on GitHub by vercel-labs under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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