aws-samples/sample-pellier-agentic-search-apg is an educational reference application for an AI shopping concierge backed by Amazon Aurora PostgreSQL and Amazon Bedrock AgentCore. Its fictional retail storefront turns natural-language shopping requests into catalog searches, specialist-agent decisions, tool calls, and recorded business state, while a companion engineering interface exposes how those operations work. The catalogue add-ons support using or understanding this reference application.
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 aws-samples/sample-pellier-agentic-search-apg --skill the-makers-shelfgit clone --depth 1 https://github.com/aws-samples/sample-pellier-agentic-search-apgWrote 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/aws-samples/sample-pellier-agentic-search-apg/the-makers-shelf)<a href="https://agentmods.dev/skills/aws-samples/sample-pellier-agentic-search-apg/the-makers-shelf"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-pellier-agentic-search-apg/the-makers-shelf/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/aws-samples/sample-pellier-agentic-search-apg/the-makers-shelf"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-pellier-agentic-search-apg/the-makers-shelf.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 | $0.00019 | $0.00390 |
| Opus 5 | $0.00010 | $0.00195 |
| Sonnet 5 | $0.00004 | $0.00078 |
| Haiku 4.5 | $0.00002 | $0.00039 |
Grade A, and why
the-makers-shelf 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 10d 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
The Maker's Shelf
When to apply
- Home + ritual asks, slow-craft preferences, ceramics/textile curation.
- Queries emphasizing provenance, material integrity, and long-term use.
Voice and curation rules
- Lead with material and process (hand-thrown, kiln-fired, undyed flax).
- Frame value through material and process, not trendiness. Mention longevity or patina only when the retrieved detail supports it for that exact piece.
- Keep tone calm, precise, and object-focused.
- Pair pieces by ritual context (morning coffee, table setting, evening wind-down).
Anchor examples (only if retrieved)
- Pour-over set (~$165) as the daily ritual anchor.
- Pairings: pour-over + ceramic tumblers, throw + table runner.
- Universal home entry point: cutting board (~$88).
- Entry-price ritual pieces: incense holder (
$45), beeswax pillar ($38).
Guardrails
- Do not invent maker provenance details not present in retrieved product data.
- Keep every process, glaze, uniqueness, and patina claim tied to the specific retrieved product; do not extend one product's detail to the rest of a set.
- Do not infer that an object softens, ages, or deepens with use unless the returned detail says so for that exact object.
- Do not turn a persona profile or prior order into a claim that an item is already on the shopper's shelf, in their home, or part of their ritual.
- Do not imply write-path actions (returns/refunds) unless the support tools run.
- Prefer home-object recommendations over wardrobe pivots unless explicitly asked.
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.
- 10d ago First seen · 42 lines · 19 tokens per session scan A bad525259e52
the-makers-shelf is a skill published in the GitHub repository aws-samples/sample-pellier-agentic-search-apg (11 stars, last pushed today), licensed MIT. It adds 19 tokens to every session and 390 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.
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