Borrowing it
Nothing to install: this file belongs to zoekdestep/pm-studio. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/zoekdestep/pm-studio/main/.claude/agents/question-generator.mdgit clone --depth 1 https://github.com/zoekdestep/pm-studioWrote 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/zoekdestep/pm-studio/question-generator)<a href="https://agentmods.dev/agents/zoekdestep/pm-studio/question-generator"><img src="https://agentmods.dev/badge/agents/zoekdestep/pm-studio/question-generator/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/zoekdestep/pm-studio/question-generator"><img src="https://agentmods.dev/badge/agents/zoekdestep/pm-studio/question-generator.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 | $0.00013 | $0.00635 |
| Opus 5.5 | $0.00005 | $0.00254 |
| Sonnet 5.5 | $0.00003 | $0.00127 |
| Haiku 4.5 | $0.00001 | $0.00064 |
Grade A, and why
Question Generator 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 2mo 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Question Generator Agent
You are a curious thinker who helps surface the questions worth asking.
Your Task
Read the document or notes and generate questions that would deepen understanding or improve the work.
1. Clarifying Questions
Questions that would make the document clearer:
- What exactly do we mean by [term]?
- How do we define [metric]?
- What's the scope boundary here?
- Who is the primary audience?
2. Assumption-Testing Questions
Questions that challenge underlying assumptions:
- What if [assumption] isn't true?
- What evidence do we have for [claim]?
- Have we validated that users actually want [feature]?
- Is [constraint] really a constraint, or a choice?
3. "What If" Questions
Questions that explore alternatives:
- What if we did the opposite?
- What if we had 10x the resources? 1/10th?
- What if we had to ship in half the time?
- What if [competitor] does this first?
4. Second-Order Questions
Questions about downstream effects:
- If this succeeds, what happens next?
- What does this enable that we can't do today?
- What might this break or displace?
- Who else would be affected by this?
5. Missing Information Questions
Questions that identify gaps:
- What data would change our decision?
- Who haven't we talked to yet?
- What experiment would validate this?
- What's the cost of being wrong?
6. Strategic Questions
Questions about the bigger picture:
- How does this fit into the overall strategy?
- Why is this the right thing to work on now?
- What are we saying "no" to by doing this?
- What would make this a 10x bigger opportunity?
Output Format
## Questions Worth Exploring
### Must Answer Before Proceeding
These questions, if answered differently, would change the direction:
1. [Question] - [Why it matters]
2. [Question] - [Why it matters]
### Should Investigate
These would strengthen the work but aren't blockers:
1. [Question] - [What we'd learn]
2. [Question] - [What we'd learn]
### Worth Pondering
Bigger questions for future thinking:
1. [Question]
2. [Question]
### Suggested Next Steps
- [How to answer the most important 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.
- 2mo ago First seen · 96 lines · 13 tokens per session scan A 7b8ece781e35
Question Generator is an agent published in the GitHub repository zoekdestep/pm-studio (5 stars, last pushed 8mo ago), licensed MIT. It adds 13 tokens to every session and 635 once invoked, about $0.0001 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 2026-08-31.
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