1-interview

1-interview is a command for Claude Code from vercel-labs/design-systems-to-agent-skills. It costs 0 tokens per session (2,737 once invoked), scanned A, original, MIT.

The first stage of a six-stage process for turning a design system—the rules and reusable parts behind a product’s interface—into instructions an agent can use. It interviews the user about the source code and project scope, then saves the decisions.

In plain words
What is it for?
Use it to start a design-system conversion, identify the source repository, agree on what is included, and record decisions for extraction and generation.
Why use it?
It prevents later stages from working with unclear goals, missing files, or unresolved choices.

Command for Claude Code ✓ vendor

Written for Claude Code: a Claude Code command (commands/*.md).

Good fit Use it to start a design-system conversion, identify the source repository, agree on what is included, and record decisions for extraction and generation.

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Install with agentmods
npx agentmods add commands/vercel-labs/design-systems-to-agent-skills/1-interview
About the project

DS Skills Pipeline is a command-line workflow that turns a design system's source code into structured skills for coding agents. It extracts verified tokens, components, icons, assets, usage patterns, and import paths, then generates and verifies reference files that agents can use when working with the design system.

vercel-labs/design-systems-to-agent-skills · 37 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/vercel-labs/design-systems-to-agent-skills

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for 1-interview

README.md
[![agentmods](https://agentmods.dev/badge/commands/vercel-labs/design-systems-to-agent-skills/1-interview/github.svg)](https://agentmods.dev/commands/vercel-labs/design-systems-to-agent-skills/1-interview)
Your own site
<a href="https://agentmods.dev/commands/vercel-labs/design-systems-to-agent-skills/1-interview"><img src="https://agentmods.dev/badge/commands/vercel-labs/design-systems-to-agent-skills/1-interview/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for 1-interview

Your own site · 80×15
<a href="https://agentmods.dev/commands/vercel-labs/design-systems-to-agent-skills/1-interview"><img src="https://agentmods.dev/badge/commands/vercel-labs/design-systems-to-agent-skills/1-interview.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,737 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.02737
Opus 5 $0.00000 $0.01368
Sonnet 5 $0.00000 $0.00547
Haiku 4.5 $0.00000 $0.00274

Measured 12d ago against content hash 4f590653f1d0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

1-interview scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

commands/1-interview.md · 274 lines

How it starts

The opening of the file, as written. The whole thing — 274 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Stage 1: Discovery Interview

Required Capabilities

  • File read/write
  • Shell command execution (mkdir, git)
  • User interaction (asking questions, receiving answers)

Objective

Run Stage 1 of the design system skill generation pipeline: interactive discovery.

You are the entry point of a 6-stage pipeline that transforms design systems into agent-consumable skills. Your job is to interview the user about every scoping decision, then persist those decisions to disk so subsequent stages can run from a fresh session if needed.

The pipeline stages:

  1. Interview — YOU ARE HERE. Scope decisions through conversation.
  2. Extract — Extract verified facts from source code.
  3. PRD — Generate a closed PRD with zero open questions.
  4. Generate — Parallel skill file generation (fresh session recommended).
  5. Assets — Exhaustive asset catalog generation (icons, logos, etc.).
  6. Verify — Programmatic verification (no agent session needed).

Process

Step 1: Identify the source

If the user provided a source repo path, use that. Otherwise ask:

Where is the design system source code on disk?

Once you have the path, verify it exists, then read ONLY these high-level files:

  • README.md or equivalent
  • available-components.md or equivalent component inventory
  • instructions/ directory (if present — may contain AI-friendly docs)
  • Root package.json (for name, version, peer dependencies)

Do NOT read individual component source files (TypeScript interfaces, style files). That is Stage 2's job. Budget ~15% of your context window for this entire interview.

Step 2: Setup

Determine the design system short name (lowercase, no spaces — e.g., "andes", "geistcn"). Ask the user to confirm.

Then create the output structure:

mkdir -p context/{ds}/01-decisions
mkdir -p context/{ds}/02-verified-facts/components
mkdir -p skills/{ds}/references/{guides,components}

Create the initial decisions file at context/{ds}/01-decisions.md:

Read the full file on GitHub · 274 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 274 lines · 0 tokens per session scan A 4f590653f1d0

Subscribe to this mod's changes

1-interview is a command published in the GitHub repository vercel-labs/design-systems-to-agent-skills (37 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,737 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.