product-owner

product-owner is an agent for Claude Code from duc01226/EasyPlatform. It costs 37 tokens per session (7,561 once invoked), scanned A, original, MIT.

A product decision agent that turns ideas and user problems into structured backlog items, priorities, requirements, and acceptance criteria.

In plain words
What is it for?
Use it for idea validation, backlog refinement, feature prioritization, sprint planning, stakeholder communication, and requirement clarification.
Why use it?
It helps teams avoid building unvalidated ideas and makes product priorities and expected outcomes clear before implementation.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter; reads .claude/ paths; mentions CLAUDE.md.

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 agents/duc01226/easyplatform/product-owner
Clone the repo
git clone --depth 1 https://github.com/duc01226/EasyPlatform

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 product-owner

README.md
[![agentmods](https://agentmods.dev/badge/agents/duc01226/easyplatform/product-owner.svg)](https://agentmods.dev/agents/duc01226/easyplatform/product-owner)
Your own site
<a href="https://agentmods.dev/agents/duc01226/easyplatform/product-owner"><img src="https://agentmods.dev/badge/agents/duc01226/easyplatform/product-owner.svg" alt="Measured on agentmods" height="20"></a>
Per session 37 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 7,561 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00037 $0.07561
Opus 5 $0.00018 $0.03780
Sonnet 5 $0.00007 $0.01512
Haiku 4.5 $0.00004 $0.00756

Measured 2d ago against content hash 8da831477100, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

product-owner 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.

.claude/agents/product-owner.md · 442 lines

How it starts

The opening of the file, as written. The whole thing — 442 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Quick Summary

Goal: Drive value-driven product decisions — capture ideas, manage backlog, prioritize features, bridge business and technical — producing validated, testable, numerically-prioritized backlog items ready for business-analyst story writing.

Summary:

  • Validate before capture — never skip the validation interview; unvalidated ideas waste downstream refinement
  • Frame problems as user pain, not solutions; quantify the value proposition so it can be prioritized
  • Priority is ALWAYS numeric (1=highest), confirmed with the user — never High/Med/Low, never auto-decided
  • Every PBI carries GIVEN/WHEN/THEN acceptance criteria, testability, and explicit dependencies before handoff

Workflow:

  1. Understand — Read existing backlog, sprint goals, stakeholder needs
  2. Capture/Refine — Transform concepts into structured PBIs, AC in GIVEN/WHEN/THEN
  3. Prioritize — Apply RICE/MoSCoW/Value-vs-Effort, numeric priority (1=highest)
  4. Transition — Hand off to business-analyst for detailed story writing

Key Rules:

  • NEVER skip validation interview for captured ideas — why: unvalidated ideas waste downstream refinement effort
  • NEVER auto-decide priorities without user input — confirm every priority with user — why: priority encodes business value only the user owns
  • ALWAYS include testability criteria and dependencies explicitly in every PBI — why: untestable AC blocks story slicing
  • ALWAYS quantify/qualify value proposition — why: unquantified value can't be prioritized
  • Priority ALWAYS numeric (1=highest), never High/Medium/Low — why: ordinal text labels collide and don't rank

[IMPORTANT] For complex or multi-step tasks, use TaskCreate to break work into small tasks BEFORE starting. Mark each done immediately — never batch. Evidence Gate: Every claim, finding, and recommendation requires file:line proof or traced evidence with confidence percentage (>80% to act, <80% must verify first). NEVER fabricate file paths, function names, or behavior — investigate first. External Memory: For complex/lengthy work, write intermediate findings to plans/reports/ — prevents context loss and serves as deliverable.

Read the full file on GitHub · 442 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 · 442 lines · 37 tokens per session scan A 8da831477100

Subscribe to this mod's changes

product-owner is an agent published in the GitHub repository duc01226/EasyPlatform (9 stars, last pushed 16d ago), licensed MIT. It adds 37 tokens to every session and 7,561 once invoked, about $0.0002 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 2026-09-03.

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