food-order

food-order is a skill for Claude Code, Codex from JansenAnalytics/claudex. It costs 34 tokens per session (532 once invoked), scanned A, a copy of food-order, MIT.

A command-line helper for reordering previous Foodora meals and tracking delivery status. Foodora is a food-delivery service.

In plain words
What is it for?
Use it to view order history, preview a reorder, place an approved reorder, and track its estimated arrival.
Why use it?
It helps repeat an order and check its progress while requiring confirmation before placing the order.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to view order history, preview a reorder, place an approved…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jansenanalytics/claudex/food-order
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 JansenAnalytics/claudex --skill food-order
Clone the repo
git clone --depth 1 https://github.com/JansenAnalytics/claudex

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 food-order

README.md
[![agentmods](https://agentmods.dev/badge/skills/jansenanalytics/claudex/food-order.svg)](https://agentmods.dev/skills/jansenanalytics/claudex/food-order)
Your own site
<a href="https://agentmods.dev/skills/jansenanalytics/claudex/food-order"><img src="https://agentmods.dev/badge/skills/jansenanalytics/claudex/food-order.svg" alt="Measured on agentmods" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 532 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 84% copy Near-identical to another mod 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 $0.00034 $0.00532
Opus 5 $0.00017 $0.00266
Sonnet 5 $0.00007 $0.00106
Haiku 4.5 $0.00003 $0.00053

Measured 3d ago against content hash baedd3baa084, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

food-order 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 3d 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.

Origin

This is a copy

84% identical to food-order — 24 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/food-order/SKILL.md · 52 lines

What it actually says

Food order (Foodora via ordercli)

Goal: reorder a previous Foodora order safely (preview first; confirm only on explicit user “yes/confirm/place the order”).

Hard safety rules

  • Never run ordercli foodora reorder ... --confirm unless user explicitly confirms placing the order.
  • Prefer preview-only steps first; show what will happen; ask for confirmation.
  • If user is unsure: stop at preview and ask questions.

Setup (once)

  • Country: ordercli foodora countriesordercli foodora config set --country AT
  • Login (password): ordercli foodora login --email [email protected] --password-stdin
  • Login (no password, preferred): ordercli foodora session chrome --url https://www.foodora.at/ --profile "Default"

Find what to reorder

  • Recent list: ordercli foodora history --limit 10
  • Details: ordercli foodora history show <orderCode>
  • If needed (machine-readable): ordercli foodora history show <orderCode> --json

Preview reorder (no cart changes)

  • ordercli foodora reorder <orderCode>

Place reorder (cart change; explicit confirmation required)

  • Confirm first, then run: ordercli foodora reorder <orderCode> --confirm
  • Multiple addresses? Ask user for the right --address-id (take from their Foodora account / prior order data) and run:
    • ordercli foodora reorder <orderCode> --confirm --address-id <id>

Track the order

  • ETA/status (active list): ordercli foodora orders
  • Live updates: ordercli foodora orders --watch
  • Single order detail: ordercli foodora order <orderCode>

Debug / safe testing

  • Use a throwaway config: ordercli --config /tmp/ordercli.json ...
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. 3d ago First seen · 52 lines · 0 tokens per session scan A baedd3baa084

Subscribe to this mod's changes

food-order is a skill published in the GitHub repository JansenAnalytics/claudex (5 stars, last pushed 2mo ago), licensed MIT. It adds 34 tokens to every session and 532 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to food-order, differing in 24 lines, and is treated as a copy.

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