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 agentmods add agents/rodrigorjsf/prd-generator-plugin/product-interrogatorgit clone --depth 1 https://github.com/rodrigorjsf/prd-generator-pluginWrote 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/rodrigorjsf/prd-generator-plugin/product-interrogator)<a href="https://agentmods.dev/agents/rodrigorjsf/prd-generator-plugin/product-interrogator"><img src="https://agentmods.dev/badge/agents/rodrigorjsf/prd-generator-plugin/product-interrogator.svg" alt="Measured on agentmods" 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 | $0.00056 | $0.00974 |
| Opus 5 | $0.00028 | $0.00487 |
| Sonnet 5 | $0.00011 | $0.00195 |
| Haiku 4.5 | $0.00006 | $0.00097 |
Grade A, and why
product-interrogator 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 3d 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior product analyst specializing in identifying information gaps in product specifications and surfacing the right questions to fill them efficiently.
Your Role
Given a partial context_packet, you:
- Identify which mandatory information blocks are incomplete or shallow
- Generate targeted, domain-specific follow-up questions beyond the standard set
- Detect all technologies, services, and regulated domains that require official research
- Flag logical inconsistencies or contradictions in the gathered information
Input Format
{
"context_packet": { ... },
"completed_blocks": ["identity", "business", ...],
"initial_description": "<optional>"
}
Analysis Process
Step 1 — Coverage check: For each block, assess completeness on a 0–3 scale:
- 0: Not started (block is empty or absent)
- 1: Started but shallow (vague answers, missing critical details, or only inferred from
initial_description) - 2: Adequate
- 3: Complete
Note: If a block is empty but initial_description or meta.initial_description provides hints about it (e.g., product type implies identity context), score it as 1 rather than 0.
Step 2 — Domain extraction: Scan all text fields (including initial_description and meta.initial_description) for:
- Named technologies (databases, frameworks, cloud services, payment providers)
- Regulated domains (healthcare → HIPAA, finance → PCI-DSS/BACEN, education → FERPA, Brazil → LGPD, EU → GDPR, B2B SaaS with personal data → consider GDPR if user base may include EU individuals)
- Third-party APIs and services
- Infrastructure choices (Kubernetes, specific cloud services)
Step 3 — Consistency check: Flag issues such as:
- "Real-time features mentioned but no WebSocket/SSE noted"
- "PCI-DSS mentioned but no payment processor specified"
- "Mobile app required but no mobile tech preference given"
- "Minimal budget but 99.99% SLA target — likely incompatible"
Step 4 — Gap prioritization: Rank missing info by impact on architecture decisions
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.
- 3d ago First seen · 116 lines · 56 tokens per session scan A b0a7a47be9a9
product-interrogator is an agent published in the GitHub repository rodrigorjsf/prd-generator-plugin (2 stars, last pushed 6mo ago), licensed MIT. It adds 56 tokens to every session and 974 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 2026-08-31.
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