deep-interview

deep-interview is a skill for Claude Code, Codex from OXI-717/ai-native-toolkit. It costs 75 tokens per session (1,276 once invoked), scanned A, original, MIT.

A one-question-at-a-time interview for turning a vague software task into a clear, structured brief.

In plain words
What is it for?
Use it when a request is ambiguous, such as improving an architecture or adding notifications, and the scope needs defining.
Why use it?
It uncovers missing requirements, boundaries, and constraints before planning or implementation begins.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/oxi-717/ai-native-toolkit/deep-interview
Any agent
npx skills add OXI-717/ai-native-toolkit --skill deep-interview
Clone the repo
git clone --depth 1 https://github.com/OXI-717/ai-native-toolkit

Made for: Claude Code, Codex.

Its marketplace also offers this one on its own, as the plugin deep-interview/plugin install deep-interview after adding the marketplace above.

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 deep-interview

README.md
[![agentmods](https://agentmods.dev/badge/skills/oxi-717/ai-native-toolkit/deep-interview.svg)](https://agentmods.dev/skills/oxi-717/ai-native-toolkit/deep-interview)
Your own site
<a href="https://agentmods.dev/skills/oxi-717/ai-native-toolkit/deep-interview"><img src="https://agentmods.dev/badge/skills/oxi-717/ai-native-toolkit/deep-interview.svg" alt="Measured on agentmods" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,276 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00075 $0.01276
Opus 5 $0.00037 $0.00638
Sonnet 5 $0.00015 $0.00255
Haiku 4.5 $0.00007 $0.00128

Measured 4d ago against content hash 87829457e135, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

deep-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 4d 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.

plugins/deep-interview/skills/deep-interview/SKILL.md · 171 lines

How it starts

The opening of the file, as written. The whole thing — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deep Interview — Task Clarification

Clarify a vague task through focused one-at-a-time questions, then produce a structured brief.

Input: $ARGUMENTS

When to use

  • Task is too vague for brainstorming ("make it better", "fix the architecture", "add notifications")
  • Scope is unclear — could be 1 hour or 1 week
  • Multiple interpretations possible
  • User hasn't thought through non-goals or constraints yet

When NOT to use

  • Task is already clear (specific file, specific bug, specific feature)
  • User provided a spec or detailed description
  • Already in brainstorming/planning phase

Process

Phase 1: Context Scan (silent, no output to user)

Before asking any questions:

  1. For the project root and every directory scoped to the task, discover and read each applicable AGENTS.md; where a scope has no AGENTS.md, read its CLAUDE.md fallback. Recursively read the relative files referenced by @ imports in each manifest or imported rule before proceeding.
  2. Check git log for recent work context (last 10 commits)
  3. Scan project structure (top-level dirs, key config files)
  4. If task mentions specific areas — read those files

This gives you context to ask informed questions, not generic ones.

Phase 2: Interview (interactive)

RULES:

  • Ask ONE question at a time. Never dump multiple questions.
  • Wait for answer before asking next question.
  • Questions must be specific and actionable, not philosophical.
  • Use context from Phase 1 to ask informed questions (reference files, patterns, existing code).
  • Skip questions whose answers are obvious from the codebase.
  • Maximum 7 questions total. Stop earlier if picture is clear.
  • After each answer, briefly acknowledge and move to next question.

Question flow (adapt order based on responses, skip what's already clear):

1. Intent

"What's the end result you want? Not how — what should be different when this is done?"

2. Trigger

"What prompted this? A bug, a user request, technical debt, new requirement?"

Read the full file on GitHub · 171 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 4d ago First seen · 171 lines · 75 tokens per session scan A 87829457e135

Subscribe to this mod's changes

deep-interview is a skill published in the GitHub repository OXI-717/ai-native-toolkit (7 stars, last pushed 12d ago), licensed MIT. It adds 75 tokens to every session and 1,276 once invoked, about $0.0004 per session on Opus 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 2026-08-31.