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 Alfredvc/rema1000-cli --skill rema-shoppinggit clone --depth 1 https://github.com/Alfredvc/rema1000-cliWrote 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/alfredvc/rema1000-cli/rema-shopping)<a href="https://agentmods.dev/skills/alfredvc/rema1000-cli/rema-shopping"><img src="https://agentmods.dev/badge/skills/alfredvc/rema1000-cli/rema-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/alfredvc/rema1000-cli/rema-shopping"><img src="https://agentmods.dev/badge/skills/alfredvc/rema1000-cli/rema-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 | $0.00043 | $0.01025 |
| Opus 5 | $0.00022 | $0.00513 |
| Sonnet 5 | $0.00009 | $0.00205 |
| Haiku 4.5 | $0.00004 | $0.00103 |
Grade A, and why
rema-shopping 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
rema-shopping
Workflow for managing REMA 1000 shopping lists via the rema CLI. Covers creating lists, finding products, adding items, and list maintenance.
Step 1: Check Existing Lists
rema lists list --json --fields id,name,emoji
This returns all shopping lists. Use a list ID from the output, or create a new one.
Step 2: Create a List (if needed)
rema lists create "Weekly Groceries" --emoji "🛒" --theme BLUE
Themes: RED, BLUE, PURPLE (default BLUE). The response includes the new list's UUID.
Step 3: Search for Products
rema articles search "kyllingfilet" --rows 5 --json --fields gtin,salesVariantDescription,packingSize,merchStructureIDLevel2
Key fields in results:
gtin— Barcode identifier, use this when adding items for precise matchingsalesVariantDescription— Product display name (e.g., "Kyllingfilet Naturell 1000G Solvinge")packingSize— Package size (e.g., "1000 G") — use as--descriptionmerchStructureIDLevel2— Store area/aisle code — REQUIRED as--store-areawhen adding the item
Step 4: Add Items to List
With product details (preferred — enables aisle grouping and product matching):
--store-area is required for GTIN-linked items. Use the merchStructureIDLevel2 value from the article search result. Without it, the item is placed in aisle 0 and the app's aisle-grouping feature breaks.
rema items add <list-id> "Kyllingfilet" --gtin 7057370030369 --description "1000 G" --store-area 11
Free-text (when no exact product match needed):
rema items add <list-id> "Bananer"
With quantity:
rema items add <list-id> "Melk" --gtin 7038010009457 --description "1 L" --store-area <merchStructureIDLevel2> --quantity 2
Step 5: View List Contents
rema lists get <list-id> --json
Returns the list with all items, including their IDs, names, states, and GTINs.
Step 6: Manage Items
Check off an item (mark as done):
rema items update <list-id> <item-id> --state Inactive
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 · 122 lines · 43 tokens per session scan A 6a52286dcec9
rema-shopping is a skill published in the GitHub repository Alfredvc/rema1000-cli (11 stars, last pushed 5mo ago), licensed MIT. It adds 43 tokens to every session and 1,025 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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