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.
npx skills add xdg/xdg-claude --skill interview-usergit clone --depth 1 https://github.com/xdg/xdg-claudeWrote 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.
[](https://agentmods.dev/skills/xdg/xdg-claude/interview-user)<a href="https://agentmods.dev/skills/xdg/xdg-claude/interview-user"><img src="https://agentmods.dev/badge/skills/xdg/xdg-claude/interview-user/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.
<a href="https://agentmods.dev/skills/xdg/xdg-claude/interview-user"><img src="https://agentmods.dev/badge/skills/xdg/xdg-claude/interview-user.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 32 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00055 | $0.04528 |
| Opus 5.5 | $0.00022 | $0.01811 |
| Sonnet 5.5 | $0.00011 | $0.00906 |
| Haiku 4.5 | $0.00006 | $0.00453 |
Grade A, and why
interview-user 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
interview-user
Elicit structure from an under-formed idea by asking one question at a time, recording each question and answer in a persistent tree on disk. The tree is the source of truth -- not chat history.
This skill produces raw material. It does not produce the final artifact. When the user signals "we're done," hand off; do not slide into drafting the PRD/design doc/memo inline.
When to use
Trigger on phrases like: "interview me about X," "grill this idea," "help me think through Y," "let's poke holes in this plan," "I want to design X but haven't thought it through."
Do not use for: well-scoped implementation tasks, debugging, code review, or any case where the user already knows what they want and is asking for execution.
Core discipline
Write the question down before asking it. The on-disk tree is updated first, then the question is posed to the user. Skipping this step turns the skill into ordinary chat and loses resumability and branch coverage.
One question at a time. Always. Multi-question messages overwhelm the user and produce shallow answers.
Preserve the user's coinages verbatim. When the user invents a term or uses a phrasing that carries the idea -- "constraint-driven development," "one person's fix becomes everybody's fix" -- record those exact words in the Answer. Paraphrase only the surrounding wording. The user's own vocabulary is the most valuable thing the interview captures; a paraphrase of a coinage discards the thing worth keeping. This matters most for dictated input, which runs long and self-correcting; the key idea is often in one clause. Find it and keep it verbatim.
Recommend an answer only on convergent questions. A convergent question picks among known options, ratifies a default, or scopes something concrete; lead with a recommendation so the user can "yes / different / why?" A divergent question is generative -- values, success criteria, "what should X be" -- where a confident guess anchors the user before they've explored. Ask divergent questions raw. If the user stalls or asks "what do you think?", then offer a recommendation. See "Recommending answers" below.
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.
- 1mo ago Changed d784b42c9c01
- 2mo ago First seen · 228 lines · 55 tokens per session scan A 35ff5b7806de
interview-user is a skill published in the GitHub repository xdg/xdg-claude (20 stars, last pushed 6d ago), licensed Apache-2.0. It adds 55 tokens to every session and 4,528 once invoked, about $0.0002 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 2026-08-30.
interview-user compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| interview-userxdg/xdg-claude | Skill | 20 | 6d ago | Apache-2.0 | A | 55 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |