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 mthines/agent-skills --skill interviewgit clone --depth 1 https://github.com/mthines/agent-skillsWrote 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/mthines/agent-skills/interview)<a href="https://agentmods.dev/skills/mthines/agent-skills/interview"><img src="https://agentmods.dev/badge/skills/mthines/agent-skills/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.
<a href="https://agentmods.dev/skills/mthines/agent-skills/interview"><img src="https://agentmods.dev/badge/skills/mthines/agent-skills/interview.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00203 | $0.02022 |
| Opus 5.5 | $0.00081 | $0.00809 |
| Sonnet 5.5 | $0.00041 | $0.00404 |
| Haiku 4.5 | $0.00020 | $0.00202 |
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 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Interview
Turns an underspecified request into a confirmed, thought-through scope before a single line is planned or written.
It restates and diffs the request, researches the code so its questions are specific, surfaces the unknowns and non-goals, interviews the user only where research falls short, and emits a brief.md that planning consumes.
This
SKILL.mdis a thin index. Phase procedures live inrules/*.mdand load on demand. A full worked run lives inreferences/interview-example.md.
Contents
When it runs
$ARGUMENTS is the request to align on (free text).
If $ARGUMENTS is empty, use the current conversation's active request; if there is none, ask what to scope — never interview against a guessed request.
| Flag | Default | Meaning |
|---|---|---|
--non-interactive |
off | Do not prompt the user. Surface the questions inside brief.md under Open questions, proceed on stated assumptions, and set the readiness verdict. For headless callers that cannot prompt. |
This skill is adaptive.
When the request is already crisp and research answers the open questions, it asks nothing, writes a one-line pass note plus the brief, and returns ready.
It interrupts only for a genuine, load-bearing unknown — see rules/readiness-gate.md.
Relation to aw and ideate (precedence)
- Autonomous-implementation asks ("implement X autonomously", "ship this",
/aw) are owned byaw, which runs this interview inside its Phase 0 (default-on for Full tier — seerules/aw-integration.md) — do not also fire standalone; letawdrive. - Standalone
/interviewis for the explicit "help me scope this first" moment on non-awor ambiguous work. - For solution options, not scope, use
/ideate— it diverges and scores; this skill converges on the one scope.
What ships with it
8 files 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.
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 6745da8a4692
- 1mo ago First seen · 126 lines · 203 tokens per session scan A 40adbb95b8b8
interview is a skill published in the GitHub repository mthines/agent-skills (19 stars, last pushed today), licensed MIT. It adds 203 tokens to every session and 2,022 once invoked, about $0.0008 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 2026-08-31.
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