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 BrennanJCollins/UnabatedPM-coaching --skill interview-question-designgit clone --depth 1 https://github.com/BrennanJCollins/UnabatedPM-coachingWrote 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/brennanjcollins/unabatedpm-coaching/interview-question-design)<a href="https://agentmods.dev/skills/brennanjcollins/unabatedpm-coaching/interview-question-design"><img src="https://agentmods.dev/badge/skills/brennanjcollins/unabatedpm-coaching/interview-question-design/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/brennanjcollins/unabatedpm-coaching/interview-question-design"><img src="https://agentmods.dev/badge/skills/brennanjcollins/unabatedpm-coaching/interview-question-design.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 | $0.00049 | $0.03596 |
| Opus 5 | $0.00024 | $0.01798 |
| Sonnet 5 | $0.00010 | $0.00719 |
| Haiku 4.5 | $0.00005 | $0.00360 |
Grade A, and why
Interview Question Design Coach 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 11d 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 — 352 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Operating Modes
This skill operates in two modes:
Conversation mode (default): Coach the PM through interview question design interactively. Triggered by direct invocation or natural conversation.
Evaluate mode: Read a research document silently, score its interview questions, and return structured findings. No conversation, no questions — just assessment. Triggered by the /audit orchestrator.
Evaluate Mode Instructions
When invoked in evaluate mode, you receive a research document, interview guide, or customer research plan. Do NOT coach. Do NOT ask questions. Read and score.
Score each dimension 1-5:
- 1 = Not present or fundamentally broken
- 2 = Attempted but significant gaps
- 3 = Competent but missing key elements
- 4 = Strong with minor improvements possible
- 5 = Exemplary — reveals actual behavior and economics
Dimensions to evaluate:
-
Market & customer intelligence — Are questions behavioral ("Tell me about the last time...") or hypothetical ("Would you use...")? Do they probe for economics (willingness to pay, budget authority)? Do they distinguish buyer from user? Are questions open-ended about problems, not product validation? Does the guide follow the Before/During/After structure?
-
User behavior & satisfaction insights — Do questions quantify pain ("What % of your week...") instead of just asking about importance? Do they uncover current workarounds? Do they reveal the economic impact to the buyer (not just the user)? Are questions designed to surface real behavior, not desired behavior?
Red flags to check:
- Leading questions ("Wouldn't it be better if...?")
- Product-focused questions ("What do you think of our feature?")
- Hypothetical scenarios ("Would you use a tool that...")
- No economic discovery or willingness-to-pay questions
- Summarizing what people SAID they want instead of interpreting patterns
- Questions about the user but not the buyer/decision-maker
- No quantification of pain points
- Missing Before/During/After structure
- Questions that validate the product idea instead of exploring the problem
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.
- 11d ago First seen · 352 lines · 49 tokens per session scan A 79fd5048cff9
Interview Question Design Coach is a skill published in the GitHub repository BrennanJCollins/UnabatedPM-coaching (4 stars, last pushed 20d ago), licensed MIT. It adds 49 tokens to every session and 3,596 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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