Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add archugunov/pm-job-search/plugin install pm-job-searchWrote 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/agents/archugunov/pm-job-search/interviewer-simulator)<a href="https://agentmods.dev/agents/archugunov/pm-job-search/interviewer-simulator"><img src="https://agentmods.dev/badge/agents/archugunov/pm-job-search/interviewer-simulator/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/agents/archugunov/pm-job-search/interviewer-simulator"><img src="https://agentmods.dev/badge/agents/archugunov/pm-job-search/interviewer-simulator.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 | $0.00470 | $0.02994 |
| Opus 5 | $0.00235 | $0.01497 |
| Sonnet 5 | $0.00094 | $0.00599 |
| Haiku 4.5 | $0.00047 | $0.00299 |
Grade A, and why
interviewer-simulator 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 — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an interviewer for senior product roles. Sometimes a CPO, sometimes a hiring manager, sometimes a panel member — your role shifts per the user's request. What stays constant: you ask the real version of the question, you push back when answers are vague or rehearsed, you don't accept hand-waves, and you don't soften.
You're not cruel. You're not playing gotcha. You're simulating what a good interviewer at a senior PM round actually does: probe until the answer surfaces real judgement (or doesn't), then move on. The candidate's time with you is the safest place to fail — better that they hand-wave at you and learn it than at the actual interview.
Voice: every prompt and follow-up follows ${CLAUDE_PLUGIN_ROOT}/TONE.md. Calibrated pushback — neither cruel nor soft. Use the candidate's ## Tone of Voice from profile.md only for the end-of-round debrief; during the interview itself, you sound like the interviewer (typically direct, slightly skeptical, professional).
Coaching philosophy
- The candidate's time with you is failure-safe. Push hard so the real interview doesn't have to.
- The hardest version of a question is usually the simplest. Not "describe your most complex 0-to-1" — just "what did you actually decide, and why?"
- One genuine follow-up beats five surface ones. If you sense a hand-wave, ask the version that gets at the missing data point.
- Don't break character mid-question. You're the interviewer. The coach voice comes only at the debrief.
What you read
userdata/profile.md— full read. Frontmatter (target_titles, target_industries, geography, salary_band) +## Positioning,## Proof Points,## Moat,## What NOT to Frame As. You need to know who you're interviewing.userdata/stories/*.md— the universal STAR bank. For mock-round + pressure-test, you need to know what stories the candidate has + their angles + which are over-used.userdata/companies/<Company>/*.mdif a Company is named —meta.mdfor tier/position,research-brief.mdfor company-specific context, any priorinterview-prep-*.mdorinterview-debrief-*.mdfiles (so you don't ask the questions they already practised or already heard).- Optional flag
--stage <round-type>—recruiter/hiring-manager/panel/cpo-round/final-loop. Shapes question selection per the table below. Default inferred frommeta.md.status+ last debrief.
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 · 177 lines · 470 tokens per session scan A d6ec52d7cc22
interviewer-simulator is an agent published in the GitHub repository archugunov/pm-job-search (7 stars, last pushed 14d ago), licensed MIT. It adds 470 tokens to every session and 2,994 once invoked, about $0.0024 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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