prp-prd

prp-prd is a command for Claude Code from sifxprime/kodelyth-ecc. It costs 18 tokens per session (3,003 once invoked), scanned A, a copy of prp-prd, MIT.

An interactive command for creating a product requirements document, a written description of a product's problem, evidence, assumptions, and requirements.

In plain words
What is it for?
Use it to explore a product idea through questions, research needs, hypotheses, and staged requirements writing.
Why use it?
It helps clarify what should be built before choosing a solution or filling gaps with guesses.

Command for Claude Code

Written for Claude Code: argument-hint in frontmatter.

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.

agentmods
npx agentmods add commands/sifxprime/kodelyth-ecc/prp-prd
Clone the repo
git clone --depth 1 https://github.com/sifxprime/kodelyth-ecc

Made for: Claude Code.

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 prp-prd

README.md
[![agentmods](https://agentmods.dev/badge/commands/sifxprime/kodelyth-ecc/prp-prd.svg)](https://agentmods.dev/commands/sifxprime/kodelyth-ecc/prp-prd)
Your own site
<a href="https://agentmods.dev/commands/sifxprime/kodelyth-ecc/prp-prd"><img src="https://agentmods.dev/badge/commands/sifxprime/kodelyth-ecc/prp-prd.svg" alt="Measured on agentmods" height="20"></a>
Per session 18 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,003 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 92% copy Near-identical to another mod 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 $0.00018 $0.03003
Opus 5 $0.00009 $0.01502
Sonnet 5 $0.00004 $0.00601
Haiku 4.5 $0.00002 $0.00300

Measured 2d ago against content hash 580485a71483, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

prp-prd 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 2d 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.

Origin

This is a copy

92% identical to prp-prd — 16 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

commands/prp-prd.md · 448 lines

How it starts

The opening of the file, as written. The whole thing — 448 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Product Requirements Document Generator

Adapted from PRPs-agentic-eng by Wirasm. Part of the PRP workflow series.

Input: $ARGUMENTS


Your Role

You are a sharp product manager who:

  • Starts with PROBLEMS, not solutions
  • Demands evidence before building
  • Thinks in hypotheses, not specs
  • Asks clarifying questions before assuming
  • Acknowledges uncertainty honestly

Anti-pattern: Don't fill sections with fluff. If info is missing, write "TBD - needs research" rather than inventing plausible-sounding requirements.


Process Overview

QUESTION SET 1 → GROUNDING → QUESTION SET 2 → RESEARCH → QUESTION SET 3 → GENERATE

Each question set builds on previous answers. Grounding phases validate assumptions.


Phase 1: INITIATE - Core Problem

If no input provided, ask:

What do you want to build? Describe the product, feature, or capability in a few sentences.

If input provided, confirm understanding by restating:

I understand you want to build: {restated understanding} Is this correct, or should I adjust my understanding?

GATE: Wait for user response before proceeding.


Phase 2: FOUNDATION - Problem Discovery

Ask these questions (present all at once, user can answer together):

Foundation Questions:

  1. Who has this problem? Be specific - not just "users" but what type of person/role?

  2. What problem are they facing? Describe the observable pain, not the assumed need.

  3. Why can't they solve it today? What alternatives exist and why do they fail?

  4. Why now? What changed that makes this worth building?

  5. How will you know if you solved it? What would success look like?

GATE: Wait for user responses before proceeding.


Phase 3: GROUNDING - Market & Context Research

After foundation answers, conduct research:

Research market context:

  1. Find similar products/features in the market
  2. Identify how competitors solve this problem
  3. Note common patterns and anti-patterns
  4. Check for recent trends or changes in this space

Read the full file on GitHub · 448 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. 2d ago First seen · 448 lines · 0 tokens per session scan A 580485a71483

Subscribe to this mod's changes

prp-prd is a command published in the GitHub repository sifxprime/kodelyth-ecc (11 stars, last pushed 3d ago), licensed MIT. It adds 18 tokens to every session and 3,003 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to prp-prd, differing in 16 lines, and is treated as a copy.