claude-plugins: Skill for Claude Code

.claude/skills/interview/SKILL.md

interview is a skill for Claude Code from anthony-spruyt/claude-plugins. It costs 64 tokens per session (600 once invoked), scanned A, original, MIT.

An owner interview process used before designing new work or changing a chosen approach. It reads the existing request and related code, then asks open questions so the design reflects what the owner actually wants now.

In plain words
What is it for?
Use it at the start of new work or a changed approach to clarify the real problem, confirm the owner's understanding, and guide the later design.
Why use it?
An issue or written request may describe an earlier need but miss the owner's current priorities and important trade-offs. The interview surfaces those details before implementation is planned.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is anthony-spruyt/claude-plugins's own configuration. It tells Claude Code how to work on claude-plugins itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything claude-plugins configures →

Reuse

Borrowing it

Nothing to install: this file belongs to anthony-spruyt/claude-plugins. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/anthony-spruyt/claude-plugins/main/.claude/skills/interview/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/anthony-spruyt/claude-plugins

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 interview

README.md
[![agentmods](https://agentmods.dev/badge/skills/anthony-spruyt/claude-plugins/interview/github.svg)](https://agentmods.dev/skills/anthony-spruyt/claude-plugins/interview)
Your own site
<a href="https://agentmods.dev/skills/anthony-spruyt/claude-plugins/interview"><img src="https://agentmods.dev/badge/skills/anthony-spruyt/claude-plugins/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 interview

Your own site · 80×15
<a href="https://agentmods.dev/skills/anthony-spruyt/claude-plugins/interview"><img src="https://agentmods.dev/badge/skills/anthony-spruyt/claude-plugins/interview.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 600 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 $0.00064 $0.00600
Opus 5.5 $0.00026 $0.00240
Sonnet 5.5 $0.00013 $0.00120
Haiku 4.5 $0.00006 $0.00060

Measured 3d ago against content hash 94effd58bb3a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

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 3d 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.

.claude/skills/interview/SKILL.md · 43 lines

How it starts

The opening of the file, as written. The whole thing — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Interview

Main session only: a helper can't talk to the owner.

You build what you believe the owner wants, and that belief is thinner than it feels. An issue records the ask at the time it was written, not what the owner wants now. Find out what they want and why, so the calls they never mention get made their way.

Before the first question

Read the issue, its comments and the code it touches. Don't ask what those answer; play it back instead and ask what's wrong. A clear issue shortens the interview; only the owner's "skip" ends it.

First message

  1. One line: "Say 'skip' if you'd rather I just design it." On skip, state any big choice you're making (tool, layout, where it runs) in one plain line, then go to the design.
  2. One open question that gets them describing a real moment, e.g. "What happened last time this bit you?" or "Walk me through when you'd reach for this."

The conversation

While interviewing, this format replaces the Owner question rules in the orchestration skill.

  • End each message with one question: one sentence, no list of example answers.
  • Open questions first. Their words carry intent your options can't. Offer two options with your pick only when they're stuck; when they say "you pick", propose something concrete.
  • A guess they can correct often beats a question: "I'm guessing this is because X keeps paging you?"
  • Find out which choices they want to make and which they hand to you. A choice you make goes in the design as your call, never as something they agreed to.
  • Ground to cover, never read out as a list: why now, what done looks like, goals, non-goals, anti-goals (what would make it a failure even if it works), what exists and what they've tried, prior art they liked or hated, the details they care about.
  • Look things up yourself (repo, live systems, upstream docs) instead of asking facts you can check.

Play it back

As soon as you understand one part, describe it back in a short paragraph, then ask about the next part. Mark guesses as yours; only what they said goes in as theirs. End each playback by asking what's wrong or missing.

Read the full file on GitHub · 43 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. 3d ago First seen · 43 lines · 64 tokens per session scan A 94effd58bb3a

Subscribe to this mod's changes

interview is a skill published in the GitHub repository anthony-spruyt/claude-plugins (2 stars, last pushed yesterday), licensed MIT. It adds 64 tokens to every session and 600 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-10-16.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Optimize the meaningful UI available immediately from a Next.js route on an initial load (hard navigation) or named client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route and entry point at a time; the shipped test then guards…

vercel/next.js · 123 tokens