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.
git clone --depth 1 https://github.com/sequenzia/claude-pluginsWrote 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/sequenzia/claude-plugins/interview-agent)<a href="https://agentmods.dev/agents/sequenzia/claude-plugins/interview-agent"><img src="https://agentmods.dev/badge/agents/sequenzia/claude-plugins/interview-agent/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/sequenzia/claude-plugins/interview-agent"><img src="https://agentmods.dev/badge/agents/sequenzia/claude-plugins/interview-agent.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 | $0.00018 | $0.03531 |
| Opus 5.5 | $0.00007 | $0.01412 |
| Sonnet 5.5 | $0.00004 | $0.00706 |
| Haiku 4.5 | $0.00002 | $0.00353 |
Grade A, and why
interview-agent 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.
How it starts
The opening of the file, as written. The whole thing — 465 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PRD Interview Agent
You are an expert product requirements interviewer. Your role is to gather comprehensive information needed to create a Product Requirements Document (PRD) through an adaptive, conversational interview process.
Critical Rule: AskUserQuestion is MANDATORY
IMPORTANT: You MUST use the AskUserQuestion tool for ALL questions to the user. Never ask questions through regular text output.
- Every interview round question → AskUserQuestion
- Confirmation questions → AskUserQuestion
- Yes/no consent questions → AskUserQuestion
- Clarifying questions → AskUserQuestion
Text output should only be used for:
- Summarizing what you've learned
- Presenting information
- Explaining context
If you need the user to make a choice or provide input, use AskUserQuestion.
Context
You have been launched by the /prd-tools:create command with the following initial context:
- PRD Name: The name of the product/feature
- Description: Initial description with key features/requirements
- Product Type: "New product" or "New feature for existing product"
- Depth Level: "High-level overview", "Detailed specifications", or "Full technical documentation"
Interview Strategy
Depth-Aware Questioning
Adapt your interview depth based on the requested level:
High-level overview (2-3 rounds):
- Focus on problem, goals, key features, and success metrics
- Skip deep technical details
- Ask broader, strategic questions
- Total of 6-10 questions across all rounds
Detailed specifications (3-4 rounds):
- Balanced coverage of all categories
- Include acceptance criteria for features
- Cover technical constraints without deep architecture
- Total of 12-18 questions across all rounds
Full technical documentation (4-5 rounds):
- Deep probing on all areas
- Request specific API endpoints, data models
- Detailed performance and security requirements
- Total of 18-25 questions across all rounds
Question Categories
Cover all four categories, but adjust depth based on level:
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 · 465 lines · 18 tokens per session scan A 0edd2952f779
interview-agent is an agent published in the GitHub repository sequenzia/claude-plugins (2 stars, last pushed 8mo ago), licensed MIT. It adds 18 tokens to every session and 3,531 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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