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 cnfeat/top-pm-skills --skill discovery-interview-guidegit clone --depth 1 https://github.com/cnfeat/top-pm-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/cnfeat/top-pm-skills/discovery-interview-guide)<a href="https://agentmods.dev/skills/cnfeat/top-pm-skills/discovery-interview-guide"><img src="https://agentmods.dev/badge/skills/cnfeat/top-pm-skills/discovery-interview-guide/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/cnfeat/top-pm-skills/discovery-interview-guide"><img src="https://agentmods.dev/badge/skills/cnfeat/top-pm-skills/discovery-interview-guide.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 | $0.00067 | $0.01240 |
| Opus 5 | $0.00034 | $0.00620 |
| Sonnet 5 | $0.00013 | $0.00248 |
| Haiku 4.5 | $0.00007 | $0.00124 |
Grade A, and why
discovery-interview-guide 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 6d 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Discovery Interview Guide Skill
Design interviews that surface genuine insight — not validation of what you already believe. Every guide follows a story-based, past-behaviour-focused structure.
Core Principles
- Never ask about the future. "Would you use X?" tells you nothing. "Tell me about the last time you did X" tells you everything.
- Interview for behaviour, not opinion. Opinions are cheap. Behaviour is evidence.
- The 5 Whys. Every surface answer is a door. Keep opening doors.
- Confirm the problem before exploring the solution. Never show a prototype until you've confirmed the pain exists unprompted.
Interview Structure (60 minutes standard)
1. Warm-Up (5 min)
Build rapport. Get them talking. Don't discuss the topic yet.
- "Tell me a bit about your role and what a typical week looks like for you."
- "What tools do you rely on most day-to-day?"
2. Context Setting (10 min)
Understand their world before diving into the problem space.
- "Walk me through how you currently [handle the domain area]."
- "What does that process look like from start to finish?"
- "Who else is involved when you do this?"
3. Problem Exploration (25 min) — THE CORE
Surface pain without leading.
- "Tell me about the last time you had to [relevant task]. What happened?"
- "What was the hardest part of that?"
- "How did you handle it?"
- "What did you try before settling on that approach?"
- "What does it cost you when this goes wrong?" (time, money, stress, reputation)
- "If you could wave a magic wand and change one thing about this process, what would it be?"
⚠️ Do not mention your product or feature during this phase.
4. Current Solutions (10 min)
Understand the competitive landscape from their perspective.
- "What tools or workarounds do you use today for this?"
- "What do you like about [current solution]? What frustrates you?"
- "Have you tried other approaches? What happened?"
5. Wrap-Up (10 min)
- "Is there anything about this topic we haven't covered that you think I should know?"
- "Is there anyone else you'd recommend I speak to?"
- "Would you be open to a follow-up if I have more questions?"
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.
- 6d ago First seen · 116 lines · 67 tokens per session scan A 82b5ed4d59b9
discovery-interview-guide is a skill published in the GitHub repository cnfeat/top-pm-skills (48 stars, last pushed 2mo ago), licensed MIT. It adds 67 tokens to every session and 1,240 once invoked, about $0.0003 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 2026-09-03.
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