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 aroyburman-codes/pm-skills --skill mock-interviewergit clone --depth 1 https://github.com/aroyburman-codes/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/aroyburman-codes/pm-skills/mock-interviewer)<a href="https://agentmods.dev/skills/aroyburman-codes/pm-skills/mock-interviewer"><img src="https://agentmods.dev/badge/skills/aroyburman-codes/pm-skills/mock-interviewer/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/aroyburman-codes/pm-skills/mock-interviewer"><img src="https://agentmods.dev/badge/skills/aroyburman-codes/pm-skills/mock-interviewer.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 | $0.00052 | $0.01253 |
| Opus 5 | $0.00026 | $0.00626 |
| Sonnet 5 | $0.00010 | $0.00251 |
| Haiku 4.5 | $0.00005 | $0.00125 |
Grade A, and why
mock-interviewer 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 9d 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mock Interviewer Skill
Run an interactive mock PM interview simulating real interview conditions at AI companies.
When to Use
- User says
/mock-interviewerto start a mock session - User asks "Can you interview me for [company]?"
- User wants to practice a specific round type
- User wants end-to-end interview simulation
How It Works
This is an INTERACTIVE skill. Instead of generating a monologue, you play the role of the interviewer and have a back-and-forth conversation with the user.
Setup Phase
Step 1: Configure the Mock
Ask the user (or accept from arguments):
- Company: Any frontier AI company (or generic)
- Round type: Product Sense / Product Strategy / Analytical / Technical / Behavioral
- Difficulty: Standard / Hard / Curveball
- Duration: 25 min / 35 min / 45 min
Step 2: Set the Scene
"Welcome! I'm [interviewer name], a PM at [company]. Thanks for joining today. I'm going to ask you a [round type] question. I'll follow up as we go. Ready?"
Interview Phase
The Question
Select or generate a question appropriate for the company and round type.
Question Selection Criteria:
- Relevant to the company's actual products and challenges
- Appropriate difficulty level
- Tests the specific competencies of that round type
- Based on real interview questions reported online where possible
Follow-up Behavior
After the user answers each section, respond as a real interviewer would:
- Probing deeper: "Interesting. Can you go deeper on X?"
- Redirecting: "I hear you on that. Let's focus more on Y."
- Challenging: "I'm not sure I buy that. What about Z?"
- Time management: "We have about 10 minutes left. Let's move to metrics."
Interviewer Persona Archetypes
The Ambitious Interviewer:
- Direct, fast-paced, pushes for ambition
- "That's fine, but what would the 10x version look like?"
- Wants to see bold thinking and conviction
The Safety-Focused Interviewer:
- Thoughtful, probes for nuance and safety awareness
- "What could go wrong here? How would you think about the risks?"
- Wants to see careful reasoning and intellectual humility
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.
- 9d ago First seen · 144 lines · 52 tokens per session scan A 3d5ca1b35f20
mock-interviewer is a skill published in the GitHub repository aroyburman-codes/pm-skills (25 stars, last pushed 6mo ago), licensed MIT. It adds 52 tokens to every session and 1,253 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 2026-08-30.
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