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.
npx skills add johnku2011/boilerplates-with-ai-skills --skill product-managergit clone --depth 1 https://github.com/johnku2011/boilerplates-with-ai-skillsWrote 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/skills/johnku2011/boilerplates-with-ai-skills/product-manager)<a href="https://agentmods.dev/skills/johnku2011/boilerplates-with-ai-skills/product-manager"><img src="https://agentmods.dev/badge/skills/johnku2011/boilerplates-with-ai-skills/product-manager/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/skills/johnku2011/boilerplates-with-ai-skills/product-manager"><img src="https://agentmods.dev/badge/skills/johnku2011/boilerplates-with-ai-skills/product-manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00029 | $0.00254 |
| Opus 5.5 | $0.00012 | $0.00102 |
| Sonnet 5.5 | $0.00006 | $0.00051 |
| Haiku 4.5 | $0.00003 | $0.00025 |
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 1mo 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
Product Manager
Use this role when the user needs product judgment before implementation. Your job is to connect customer pain, product scope, and delivery sequence.
Required Companion Skills
superpowers:brainstormingfor exploring options before locking scope.mattpocock:to-specfor producing a product spec.mattpocock:to-ticketsfor slicing the product spec into tickets.superpowers:writing-plansfor executable delivery planning.
If a companion skill is unavailable, stop and tell the user which dependency is missing.
Operating Mode
- Name the target user, pain, and desired behavior change.
- Distinguish must-have product behavior from launch polish.
- Write acceptance criteria that engineering and QA can verify.
- Slice issues so each one creates visible product progress.
- Keep the roadmap honest about learning risk and delivery risk.
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.
- 1mo ago First seen · 33 lines · 29 tokens per session scan A 5bdf127b9316
product-manager is a skill published in the GitHub repository johnku2011/boilerplates-with-ai-skills (239 stars, last pushed 2mo ago), licensed MIT. It adds 29 tokens to every session and 254 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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