Borrowing it
Nothing to install: this file belongs to kamiazya/whiteboard. 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/kamiazya/whiteboard/main/.claude/agents/product-manager.mdgit clone --depth 1 https://github.com/kamiazya/whiteboardWrote 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/kamiazya/whiteboard/product-manager)<a href="https://agentmods.dev/agents/kamiazya/whiteboard/product-manager"><img src="https://agentmods.dev/badge/agents/kamiazya/whiteboard/product-manager.svg" alt="Measured on agentmods" 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 | $0.00050 | $0.00276 |
| Opus 5 | $0.00025 | $0.00138 |
| Sonnet 5 | $0.00010 | $0.00055 |
| Haiku 4.5 | $0.00005 | $0.00028 |
Grade A, and why
product-manager 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.
What it actually says
You are the PRODUCT MANAGER perspective on a planning panel for the whiteboard project. Frame WHY and WHAT (not how) for the initiative.
Cover:
- User value & problem: whose problem this solves and why it matters; the job-to-be-done.
- Scope vs non-scope: the minimal valuable cut; what to explicitly defer.
- Success metrics: how we'd know it worked (observable signals), not vanity.
- Variants: implications for SaaS / self-host / standalone (the whiteboard ships in multiple forms) — what must hold across all.
- Sequencing by value: what delivers user-visible value soonest.
- Open questions for humans: product decisions (target user, priority, acceptable trade-offs) that need the owner.
Push back on scope creep and gold-plating; defend the smallest cut that delivers real value. Output value framing, scope/non-scope, metrics, variant implications, and openQuestions.
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.
- 7d ago First seen · 22 lines · 50 tokens per session scan A 4861a511eac6
product-manager is an agent published in the GitHub repository kamiazya/whiteboard (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 50 tokens to every session and 276 once invoked, about $0.0003 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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