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 agentmods add commands/wake-engineering/ai-plugin/wake-product-pagegit clone --depth 1 https://github.com/wake-engineering/ai-pluginWrote 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/commands/wake-engineering/ai-plugin/wake-product-page)<a href="https://agentmods.dev/commands/wake-engineering/ai-plugin/wake-product-page"><img src="https://agentmods.dev/badge/commands/wake-engineering/ai-plugin/wake-product-page.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 | $0.00043 | $0.00275 |
| Opus 5 | $0.00022 | $0.00138 |
| Sonnet 5 | $0.00009 | $0.00055 |
| Haiku 4.5 | $0.00004 | $0.00028 |
Grade A, and why
wake-product-page 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 4d 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
Wake Product Page Workflow
Forbidden: api.fbits.net (and any *.fbits.net). Canonical source: https://wakecommerce.readme.io/docs/schema
Build a product detail page for Wake Commerce headless storefront.
Steps
- Load product: Call
product(productId, partnerAccessToken)withattributeSelections(selected: $selections)when product has variants. - Resolve variant: Use
selectedVariantwhen selections match; use rootproductVariantIdfor single-variant. - Render: Prices (listPrice, price, discountPercentage), images (with dimensions), add-to-cart button.
- Add-to-cart: Use
productVariantIdfrom selectedVariant or root; includeselectionswhen variants; include customizations and subscriptionGroups when required. - References: Consult
skills/wake-product-variants/SKILL.md,skills/wake-storefront-api/references/products.md.
Output
Product page component or implementation with GraphQL query, variant resolution, and add-to-cart flow.
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.
- 4d ago First seen · 23 lines · 43 tokens per session scan A bc0c0f6875b2
wake-product-page is a command published in the GitHub repository wake-engineering/ai-plugin (2 stars, last pushed 4mo ago), licensed MIT. It adds 43 tokens to every session and 275 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 2026-08-31.
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