phuryn/pm-skills is a marketplace of reusable skills, commands, and plugins that guide AI assistants through product-management work such as discovery, strategy, planning, metrics, launches, and growth. It is for product managers and teams using Claude Code, Cowork, or compatible assistants. The catalogue entries are the project's own workflows and extensions.
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 phuryn/pm-skills --skill interview-scriptgit clone --depth 1 https://github.com/phuryn/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/phuryn/pm-skills/interview-script)<a href="https://agentmods.dev/skills/phuryn/pm-skills/interview-script"><img src="https://agentmods.dev/badge/skills/phuryn/pm-skills/interview-script/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/phuryn/pm-skills/interview-script"><img src="https://agentmods.dev/badge/skills/phuryn/pm-skills/interview-script.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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 | $0.00062 | $0.01109 |
| Opus 5.5 | $0.00025 | $0.00444 |
| Sonnet 5.5 | $0.00012 | $0.00222 |
| Haiku 4.5 | $0.00006 | $0.00111 |
Grade A, and why
interview-script 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- interview-script — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Customer Interview Script
Create a structured interview script that surfaces real insights, not just opinions. Follows "The Mom Test" principles — ask about their life, not your idea.
Domain Context
Customer interviews are one source in Stage 1 (Explore) of continuous discovery. Other sources: stakeholder interviews, usage analytics, data analytics, surveys, market trends, SEO/SEM analysis. The PM needs direct access to users, stakeholders, engineers, and designers — "without proxies." The Product Trio (PM + Designer + Engineer — Teresa Torres) should work together on discovery, not just the PM alone.
Context
You are preparing a customer interview script for research on $ARGUMENTS.
If the user provides files (personas, hypothesis lists, product briefs, or previous interview notes), read them first.
Instructions
-
Clarify research objectives:
- What specific questions does the team need answered?
- What decisions will this research inform?
- What assumptions need validation?
-
Create the interview script with these sections:
Opening (2-3 min)
- Introduce yourself and the purpose (learning, not selling)
- Set expectations: "There are no right or wrong answers. We're here to learn from your experience."
- Ask permission to record (if applicable)
- Confirm time available
Warm-Up: Context & Background (5 min)
- "Tell me about your role and what a typical day/week looks like."
- "How long have you been doing [activity related to the product area]?"
- Goal: Build rapport and understand their context
Core Exploration: Jobs to Be Done (15-20 min)
Current situation and behavior (past tense, specific instances):
- "Walk me through the last time you [did the thing we're exploring]. What happened?"
- "What tools or methods did you use?"
- "How long did it take? Who else was involved?"
Pain points and frustrations (observe, don't lead):
- "What was the hardest part about that?"
- "If you could wave a magic wand, what would change?"
- "What have you tried to solve this? What happened?"
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 First seen · 106 lines · 62 tokens per session scan A 892ca53da985
interview-script is a skill published in the GitHub repository phuryn/pm-skills (27,719 stars, last pushed 8d ago), licensed MIT. It adds 62 tokens to every session and 1,109 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 2026-09-15.
interview-script compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| interview-scriptphuryn/pm-skills | Skill | 28k | 8d ago | MIT | A | 62 | Claude Code |
| becoming-senior-pmProductfculty-aipm/PM-Copilot-by-Product-Faculty | Skill | 80 | 6mo ago | none | A | 126 | Claude Code |
| founding-pmProductfculty-aipm/PM-Copilot-by-Product-Faculty | Skill | 80 | 6mo ago | none | A | 106 | Claude Code |
| technical-pmProductfculty-aipm/PM-Copilot-by-Product-Faculty | Skill | 80 | 6mo ago | none | A | 109 | Claude Code |
| ai-feature-monetizationProductfculty-aipm/PM-Copilot-by-Product-Faculty | Skill | 80 | 6mo ago | none | A | 89 | Claude Code |
| altitude-horizonProductfculty-aipm/PM-Copilot-by-Product-Faculty | Skill | 80 | 6mo ago | none | A | 85 | Claude Code |
| attitudinal-segmentationProductfculty-aipm/PM-Copilot-by-Product-Faculty | Skill | 80 | 6mo ago | none | A | 83 | Claude Code |