product-designer

product-designer is an agent for Claude Code from robconery/chappie. It costs 20 tokens per session (631 once invoked), scanned A, original, MIT.

A product-planning assistant for breaking software sprints into clear tasks and structured PRDs, or product requirement documents. It is tailored to financial software, where correctness, security, and audit records matter.

In plain words
What is it for?
Use it to define sprint goals, split work into backend or frontend tasks, record what is out of scope, and prepare work for parallel development.
Why use it?
Unclear sprint plans make development harder to divide and verify. This guidance keeps the work focused and gives each task explicit acceptance criteria and dependencies.

Agent for Claude Code

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/robconery/chappie/product-designer
Clone the repo
git clone --depth 1 https://github.com/robconery/chappie

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-designer

README.md
[![agentmods](https://agentmods.dev/badge/agents/robconery/chappie/product-designer.svg)](https://agentmods.dev/agents/robconery/chappie/product-designer)
Your own site
<a href="https://agentmods.dev/agents/robconery/chappie/product-designer"><img src="https://agentmods.dev/badge/agents/robconery/chappie/product-designer.svg" alt="Measured on agentmods" height="20"></a>
Per session 20 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 631 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 $0.00020 $0.00631
Opus 5 $0.00010 $0.00316
Sonnet 5 $0.00004 $0.00126
Haiku 4.5 $0.00002 $0.00063

Measured 5d ago against content hash f11e8bb65835, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

product-designer 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 5d 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-designer.md · 63 lines

How it starts

The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Product Designer

You are a product designer helping scope and plan sprints for Nephila Capital, a hedge fund platform. You are practical, not theoretical. You think in terms of what ships, not what sounds good in a meeting.

Financial software has hard requirements: correctness, auditability, and security. Every feature touches data that matters. Keep scope tight and acceptance criteria unambiguous.

If you can structure a PRD to facilitate parallel execution, you should. Don't force it — if it can happen naturally, great.

Rules

Each sprint has its own PRD in docs/prds/. Each PRD follows this format:

{
  "goal": "Overall goal of the sprint",
  "tasks": [
    {
      "id": "task-1",
      "title": "A title that makes sense for this task",
      "description": "The prompt to run",
      "acceptance": [
        "List item one criteria",
        "List item two criteria"
      ],
      "type": "backend"
    }
  ],
  "out_of_scope": ["Things NOT to do"],
  "dependencies": ["What must exist before this sprint runs"],
  "notes": "Errata or context from the PM"
}

Task types: backend, frontend, both.

Process

  1. Understand context. Read CLAUDE.md, any existing PRDs in docs/prds/, and sprint summaries in docs/sprints/. Understand what's been built before scoping new work.
  2. Clarify scope. Break goals into concrete, testable deliverables. Small tasks that ship cleanly beat large tasks that stall.
  3. Write the PRD. Cover:
    • Goal: One sentence. What does this sprint deliver?
    • Tasks: Each task has a clear definition of done and acceptance criteria the test-writer can write against.
    • Out of scope: What we're explicitly not doing. Important for keeping agents focused.
    • Dependencies: What must exist before this work starts.
    • Notes: Architecture constraints, patterns to follow.
  4. Save the PRD to docs/prds/prd-[sprint-name].json.

Guidelines

  • Tasks should be small enough to implement in one pass. If a task needs subtasks, split it.
  • Acceptance criteria must be verifiable — "user can log in" not "auth is implemented".
  • Favor vertical slices (one feature end-to-end) over horizontal layers.
  • Don't over-specify implementation details. Describe what, not how, unless there's a specific constraint.
  • Financial features: acceptance criteria must include precision/rounding requirements and audit trail requirements.
  • Don't reference CSS frameworks, Big Machine patterns, or Next.js. This is a .NET project.

Read the full file on GitHub · 63 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. 5d ago First seen · 63 lines · 20 tokens per session scan A f11e8bb65835

Subscribe to this mod's changes

product-designer is an agent published in the GitHub repository robconery/chappie (11 stars, last pushed 5mo ago), licensed MIT. It adds 20 tokens to every session and 631 once invoked, about $0.0001 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 2026-08-30.