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rema-discovery

rema-discovery is a skill for Claude Code, Codex from Alfredvc/rema1000-cli. It costs 44 tokens per session (861 once invoked), scanned A, original, MIT.

A discovery workflow for the rema command-line tool, which gives access to REMA 1000 grocery information. It covers offers, weekly discounts, stores, and customer account details.

In plain words
What is it for?
Use it to check your bonus balance and profile, change your home store, browse offers and bonus missions, view weekly sale campaigns, search for stores, and see store details or opening hours.
Why use it?
It saves you from remembering separate commands for checking discounts, finding shops, and viewing account information. It also helps you inspect the current offers and campaigns available at REMA 1000.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 11repo 4mo ago A scan 44 tokens original MIT

Good fit Use it to check your bonus balance and profile, change your home store, browse offers and bonus missions, view weekly sale campaigns, search for stores, and see store details or opening hours.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alfredvc/rema1000-cli/rema-discovery
View source ↗ Alfredvc/rema1000-cli
Install

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.

Any agent
npx skills add Alfredvc/rema1000-cli --skill rema-discovery
Clone the repo
git clone --depth 1 https://github.com/Alfredvc/rema1000-cli

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for rema-discovery

README.md
[![agentmods](https://agentmods.dev/badge/skills/alfredvc/rema1000-cli/rema-discovery/github.svg)](https://agentmods.dev/skills/alfredvc/rema1000-cli/rema-discovery)
Your own site
<a href="https://agentmods.dev/skills/alfredvc/rema1000-cli/rema-discovery"><img src="https://agentmods.dev/badge/skills/alfredvc/rema1000-cli/rema-discovery/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.

agentmods 80×15 button for rema-discovery

Your own site · 80×15
<a href="https://agentmods.dev/skills/alfredvc/rema1000-cli/rema-discovery"><img src="https://agentmods.dev/badge/skills/alfredvc/rema1000-cli/rema-discovery.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 861 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00044 $0.00861
Opus 5 $0.00022 $0.00430
Sonnet 5 $0.00009 $0.00172
Haiku 4.5 $0.00004 $0.00086

Measured 10d ago against content hash 05b7f2da1464, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

rema-discovery 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.

skills/rema-discovery/SKILL.md · 115 lines

How it starts

The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.

rema-discovery

Workflow for discovering offers, campaigns, stores, and account information via the rema CLI.

Check Bonus Balance and Profile

Quick check (bonus balance + home store only):

rema customer minimal --json

Full profile:

rema customer get --json

Change home store:

rema customer update --home-store <workplace-id>

Browse Current Offers

rema offers list --json

Returns available offers, bonus missions, and non-activated price cuts. Use --fields to filter — the response can be large.

View Weekly Sales Campaigns (Superpriser)

Full campaign with product details:

rema campaigns list --type SP --json

Campaign metadata only (no product details):

rema campaigns list --type SP --no-offers --json

Campaign without feed data:

rema campaigns list --type SP --no-feed --json

Campaign type SP is "Superpriser" — the weekly flyer with discounted products.

Find Stores

Search by name, zipcode, or store number:

rema stores search "Grunerlokka" --json
rema stores search 7033 --json

Get store details by workplace ID:

rema stores get 1011141087892 --json

Get weekly opening hours by store number:

rema stores hours 3198 --json

Note the two different ID types:

  • workplace-id (long numeric, e.g., 1011141087892) — used with stores get
  • store-number (short numeric, e.g., 3198) — used with stores hours

Both are returned by stores search.

View Transaction History

List recent transactions (store, date, totals, payments):

rema transactions list --json

Returns headers including transactions[].id, storeName, purchaseDate, amount, bonusPoints, and transactionPayments[]. This is enough for most receipt-metadata queries.

Fetch line items (products purchased) for one transaction:

rema transactions get <transaction-id> --json

The get response contains:

  • rows[] — each purchased line with productDescription, unitPrice, amount, pieces, volume/unit (EA or Kg), deposit, discount, and bonus earned. prodtxt3 is the GTIN when known.
  • transactionPayments[] — payment breakdown (duplicated from list).
  • bonusPointsTotal / bonusPointsTotalDecimal — bonus earned on this transaction.

Read the full file on GitHub · 115 lines

Changes

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.

  1. 10d ago First seen · 115 lines · 44 tokens per session scan A 05b7f2da1464

Subscribe to this mod's changes

rema-discovery is a skill published in the GitHub repository Alfredvc/rema1000-cli (11 stars, last pushed 4mo ago), licensed MIT. It adds 44 tokens to every session and 861 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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