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 MassLab-SII/open-agent-skills --skill shoppinggit clone --depth 1 https://github.com/MassLab-SII/open-agent-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/masslab-sii/open-agent-skills/shopping)<a href="https://agentmods.dev/skills/masslab-sii/open-agent-skills/shopping"><img src="https://agentmods.dev/badge/skills/masslab-sii/open-agent-skills/shopping/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/masslab-sii/open-agent-skills/shopping"><img src="https://agentmods.dev/badge/skills/masslab-sii/open-agent-skills/shopping.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 | $0.00046 | $0.02277 |
| Opus 5 | $0.00023 | $0.01138 |
| Sonnet 5 | $0.00009 | $0.00455 |
| Haiku 4.5 | $0.00005 | $0.00228 |
Grade A, and why
shopping-browser-automation 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 11d 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 — 327 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Shopping Browser Automation Skill
This skill is based on Playwright MCP tools, providing automation capabilities for e-commerce websites.
Core Concepts
In shopping website automation, we distinguish two types of operations:
- Skill: Meaningful combinations of multiple tool calls, encapsulated as independent Python scripts
- Basic Tools: Single function calls in
utils.py, used for atomic operations.
I. Skills
1. Simple Search - Type and Submit
File: simple_search.py
Use Cases:
- Need to search for a product using the main search bar
- Want to type a search term and automatically press Enter to submit
Prerequisites:
- First use
navigate()to navigate to the website homepage - Get the ref value of the search input field
Usage:
# Usage:
# python simple_search.py <search_term> <search_input_ref>
# Example:
python simple_search.py "gingerbread" e35
2. Advanced Search - By Product Name and Price Range
File: advanced_search_by_name.py
Use Cases:
- Already on the Advanced Search page
- Need to fill in product name and price range for search
Prerequisites:
- First use
navigate()to navigate to the website homepage - Then use
click()to click the "Advanced Search" link - Get the ref values of form fields
Typical Task Examples:
- Search for products with name containing "Ginger", price between $50.00 and $100.00
- Search for products with name containing "cookie", price between $20.00 and $40.00
Usage:
# Usage:
# python advanced_search_by_name.py <product_name> <price_from> <price_to> <name_ref> <price_from_ref> <price_to_ref> <search_btn_ref>
# Example:
python advanced_search_by_name.py "Ginger" 50.00 100.00 e91 e110 e114 e118
3. Advanced Search - By Description and Price Range
File: advanced_search_by_description.py
Use Cases:
- Already on the Advanced Search page
- Need to search keywords in product description (not product name)
- Need to filter by price range
What ships with it
9 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.
- scripts/advanced_search_by_description.py 3.3 KB runs code
- scripts/advanced_search_by_name.py 3.2 KB runs code
- scripts/browser_client.py 6.4 KB runs code
- scripts/browser_server.py 8.6 KB runs code
- scripts/fill_shipping_info.py 5.5 KB runs code
- scripts/run_browser_ops.py 5.9 KB runs code
- scripts/simple_search.py 1.9 KB runs code
- scripts/utils_test.py 27 KB runs code
- scripts/utils.py 13 KB runs code
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.
- 11d ago First seen · 327 lines · 46 tokens per session scan A fe543d6fecb6
shopping-browser-automation is a skill published in the GitHub repository MassLab-SII/open-agent-skills (133 stars, last pushed 8mo ago), licensed Apache-2.0. It adds 46 tokens to every session and 2,277 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 2026-08-30.
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