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 SearchCans/searchcans-skills --skill searchcans-product-serp-briefgit clone --depth 1 https://github.com/SearchCans/searchcans-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/searchcans/searchcans-skills/searchcans-product-serp-brief)<a href="https://agentmods.dev/skills/searchcans/searchcans-skills/searchcans-product-serp-brief"><img src="https://agentmods.dev/badge/skills/searchcans/searchcans-skills/searchcans-product-serp-brief/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/searchcans/searchcans-skills/searchcans-product-serp-brief"><img src="https://agentmods.dev/badge/skills/searchcans/searchcans-skills/searchcans-product-serp-brief.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 | $0.00057 | $0.00592 |
| Opus 5 | $0.00028 | $0.00296 |
| Sonnet 5 | $0.00011 | $0.00118 |
| Haiku 4.5 | $0.00006 | $0.00059 |
Grade A, and why
searchcans-product-serp-brief 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 12d 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SearchCans Product SERP Brief
Turn one product query into a current, market-specific observation pack. It gathers Shopping, web, and image results together so an agent can compare product listings, merchant names, search intent, and visual search presence without claiming a universal catalog or a live price database.
Define the product question
Confirm the query, target country and language, and the decision it supports. Use a specific product/category query rather than a vague “best” query when the output will inform assortment or page planning.
python scripts/product_serp_brief.py "portable espresso maker" \
--country us --language en --max-products 10 \
--read-url "https://merchant.example/product" \
--out product-brief.json
--read-url is deliberately explicit: do not automatically fetch Google Shopping product links or merchant pages. Add only URLs relevant to the investigation and within the requested source budget.
Use prices and assets responsibly
merchant_observations.observed_numeric_price_range describes parsable values displayed on one Google Shopping SERP in the selected market. It is time-stamped, not currency-normalized, and never a price, stock, shipping, review, or availability guarantee.
Image URLs and thumbnails are discovery references only. Their appearance does not grant permission to download, reuse, train on, or republish an asset.
Use the report template to separate:
- Market/query and collection limits.
- Observed product/merchant/price patterns.
- Search and visual page-type signals.
- Page-level claims backed by successful Reader extracts.
- Gaps and human validation needed before a commercial action.
Let the account set safe scope
The default --account-mode auto checks the Account API once, accounts for three SERP calls plus explicit Reader URLs, caps only the Reader portion if appropriate, and keeps concurrency within reported lanes. Use warn, enforce, or off when the task calls for a different budget policy. The JSON includes only sanitized account-guard fields.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 53 lines · 57 tokens per session scan A ddaf694f20a2
searchcans-product-serp-brief is a skill published in the GitHub repository SearchCans/searchcans-skills (3 stars, last pushed 18d ago), licensed Apache-2.0. It adds 57 tokens to every session and 592 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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