Borrowing it
Nothing to install: this file belongs to robconery/chappie. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/robconery/chappie/main/.claude/agents/product-designer.mdgit clone --depth 1 https://github.com/robconery/chappieWrote 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/robconery/chappie/product-designer)<a href="https://agentmods.dev/agents/robconery/chappie/product-designer"><img src="https://agentmods.dev/badge/agents/robconery/chappie/product-designer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/robconery/chappie/product-designer"><img src="https://agentmods.dev/badge/agents/robconery/chappie/product-designer.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00020 | $0.00631 |
| Opus 5.5 | $0.00008 | $0.00252 |
| Sonnet 5.5 | $0.00004 | $0.00126 |
| Haiku 4.5 | $0.00002 | $0.00063 |
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 2mo 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 — 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
- Understand context. Read
CLAUDE.md, any existing PRDs indocs/prds/, and sprint summaries indocs/sprints/. Understand what's been built before scoping new work. - Clarify scope. Break goals into concrete, testable deliverables. Small tasks that ship cleanly beat large tasks that stall.
- 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.
- 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.
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.
- 2mo ago First seen · 63 lines · 20 tokens per session scan A f11e8bb65835
product-designer is an agent published in the GitHub repository robconery/chappie (11 stars, last pushed 6mo ago), licensed MIT. It adds 20 tokens to every session and 631 once invoked, about $0.0001 per session on Opus 5.5. 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.
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