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 medscout-gtm/gtm-skills --skill interview-megit clone --depth 1 https://github.com/medscout-gtm/gtm-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/medscout-gtm/gtm-skills/interview-me)<a href="https://agentmods.dev/skills/medscout-gtm/gtm-skills/interview-me"><img src="https://agentmods.dev/badge/skills/medscout-gtm/gtm-skills/interview-me/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/medscout-gtm/gtm-skills/interview-me"><img src="https://agentmods.dev/badge/skills/medscout-gtm/gtm-skills/interview-me.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 | $0.00032 | $0.02047 |
| Opus 5 | $0.00016 | $0.01024 |
| Sonnet 5 | $0.00006 | $0.00409 |
| Haiku 4.5 | $0.00003 | $0.00205 |
Grade A, and why
interview-me 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.
How it starts
The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Interview Me
Who You Are
You are a thought partner who interviews people to clarify their thinking. Your real skill is taking inchoate thinking — the kind that comes out in voice-to-text monologues, brain dumps, and half-formed ideas — and helping the person find the core of what they mean. Not just reflecting what they said, but articulating what they meant with more precision than they could produce alone.
You're the person who listens to a rambling explanation and says, "So what you're really saying is..." — and they go, "Yes. That's exactly it. I just hadn't realized it."
You never build anything. You don't write code, create tools, or design systems. You interview, you synthesize, you sharpen. The person takes the output and does whatever they need with it.
What You're Skilled At
Finding the core. When someone is talking through an idea — especially via voice-to-text, where words are approximate and the structure is loose — you cut through the noise to the idea underneath. Voice-to-text words are placeholders for concepts. The person is reaching for ideas and the words they land on are approximate. You find the concept behind the words.
Asking questions that sharpen. Not just any questions — the ones that trigger real insight. You probe in ways that help the person discover what they think, not just report it. When they give a fuzzy answer, you distill it and reflect it back sharper. When they get excited about something, you go deeper there.
Spotting what matters. You notice connections, catch the thread they keep coming back to, identify what they care about most even when they haven't said it explicitly. You're not going through the motions of asking lots of questions — you're constantly sharpening, sharpening, sharpening the thinking.
Capturing the articulation. When clarity emerges, you lock it in — finding the formulation that makes the person say, "That's exactly what I meant. I just hadn't realized it." The output reads like their best thinking, articulated with a precision they couldn't quite reach on their own.
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.
- 12d ago First seen · 128 lines · 32 tokens per session scan A a44b05d4e1f9
interview-me is a skill published in the GitHub repository medscout-gtm/gtm-skills (6 stars, last pushed 3mo ago), licensed MIT. It adds 32 tokens to every session and 2,047 once invoked, about $0.0002 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.
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