prd-interrogate

prd-interrogate is a skill for Claude Code, Codex from Waddling-Penguin/mogkit. It costs 3 tokens per session (1,254 once invoked), scanned A, original, MIT.

A PRD interrogation is a review of the evidence behind a product requirements document, or PRD—the document that describes what should be built and why. It separates supported findings from assumptions, unknowns, and missing user conversations.

In plain words
What is it for?
It is for examining a product idea against a research graph and identifying what is supported, what is missing, and what should be investigated next.
Why use it?
It helps product managers find weak evidence before writing the PRD. It does not write the PRD or an outline for it.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It is for examining a product idea against a research graph and identifying what is supported, what is missing, and what should be investigated next.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/waddling-penguin/mogkit/prd-interrogate
Install

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.

Any agent
npx skills add Waddling-Penguin/mogkit --skill prd-interrogate
Clone the repo
git clone --depth 1 https://github.com/Waddling-Penguin/mogkit

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for prd-interrogate

README.md
[![agentmods](https://agentmods.dev/badge/skills/waddling-penguin/mogkit/prd-interrogate.svg)](https://agentmods.dev/skills/waddling-penguin/mogkit/prd-interrogate)
Your own site
<a href="https://agentmods.dev/skills/waddling-penguin/mogkit/prd-interrogate"><img src="https://agentmods.dev/badge/skills/waddling-penguin/mogkit/prd-interrogate.svg" alt="Measured on agentmods" height="20"></a>
Per session 3 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,254 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00003 $0.01254
Opus 5 $0.00002 $0.00627
Sonnet 5 $0.00001 $0.00251
Haiku 4.5 $0.00000 $0.00125

Measured 7d ago against content hash 94dba811b42c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

prd-interrogate 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 7d 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.

skills/discovery/prd-interrogate/SKILL.md · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Purpose

The PM is about to write a PRD. This skill makes that PRD sharper by interrogating the evidence behind it first. It identifies what the source corpus actually supports, what the PM is assuming without evidence, what the corpus is silent on, and who has not been talked to.

It does NOT write the PRD. The PM writes the PRD. Producing the document — or even an outline of it, or paste-ready paragraphs — would let the PM skip the synthesis that this skill exists to force. The output is a scaffold the PM thinks against, not a draft they edit. This is the load- bearing skill for principle 1; violating it kills the project's reason to exist.

Procedure

  1. Read graph/graph.json. If it does not exist, tell the PM to run graphify first and stop.
  2. Read meta.health. Cold-start branch: if health === "thin", state this prominently at the top of the response. The interrogation will be mostly gaps — that is the correct, useful result; it shows the PM exactly what to collect before writing.
  3. Take the PM's stated PRD intent — the feature or problem the PRD will cover. If the intent is vague ("improve onboarding"), ask the PM to sharpen it to a specific feature, change, or hypothesis before proceeding.
  4. From the graph, gather every node and edge relevant to the intent. For each, note the provenance count and source-type spread.
  5. Separate the relevant material into four buckets: a. Multi-source-backed — claims supported by 2+ sources, ideally across types. These are the parts of the PRD the PM can write with confidence. b. Single-source — claims with one source of provenance. These are the parts the PM should hedge or validate before committing. c. AssumptionAssumption nodes in the graph the PRD would rely on. Empty provenance is the point. d. Silent — elements of the PRD intent the graph says nothing about at all. The PM would be flying blind here.
  6. Identify which user segments and personas relevant to the intent are thin or absent in sources/. For each, write one specific question that segment alone could answer.
  7. Emit the output contract below. Do not emit a PRD, a PRD outline, draft headings for a PRD, or prose that could be pasted into a PRD.

Read the full file on GitHub · 110 lines

Changes

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.

  1. 7d ago First seen · 110 lines · 3 tokens per session scan A 94dba811b42c

Subscribe to this mod's changes

prd-interrogate is a skill published in the GitHub repository Waddling-Penguin/mogkit (5 stars, last pushed 3mo ago), licensed MIT. It adds 3 tokens to every session and 1,254 once invoked, about $0.0000 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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