food-order

food-order is a skill for Claude Code, Codex from deepgram/dglabs-deepclaw. It costs 0 tokens per session (504 once invoked), scanned A, a copy of food-order, MIT.

A skill for previewing, reordering, and tracking Foodora food orders through the ordercli command-line tool.

In plain words
What is it for?
Use it to inspect previous Foodora orders, prepare a reorder, place it only after explicit confirmation, and check delivery status or estimated arrival.
Why use it?
It adds a preview and approval step so an order is not placed accidentally.

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 inspect previous Foodora orders, prepare a reorder, place it only after explicit confirmation, and check delivery status or estimated arrival.

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

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/deepgram/dglabs-deepclaw/food-order/github.svg)](https://agentmods.dev/skills/deepgram/dglabs-deepclaw/food-order)
Your own site
<a href="https://agentmods.dev/skills/deepgram/dglabs-deepclaw/food-order"><img src="https://agentmods.dev/badge/skills/deepgram/dglabs-deepclaw/food-order/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 food-order

Your own site · 80×15
<a href="https://agentmods.dev/skills/deepgram/dglabs-deepclaw/food-order"><img src="https://agentmods.dev/badge/skills/deepgram/dglabs-deepclaw/food-order.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 504 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 89% 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 $0.00000 $0.00504
Opus 5 $0.00000 $0.00252
Sonnet 5 $0.00000 $0.00101
Haiku 4.5 $0.00000 $0.00050

Measured 9d ago against content hash 2754deb16655, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, 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 9d 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

89% identical to food-order — 21 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 · 49 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. 9d ago First seen · 49 lines · 0 tokens per session scan A 2754deb16655

Subscribe to this mod's changes

food-order is a skill published in the GitHub repository deepgram/dglabs-deepclaw (23 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 504 tokens. A static security scan graded it A with 0 findings. It is 89% identical to food-order, differing in 21 lines, and is treated as a copy.

Related

Other skills, from other repositories

amazon-reviews-api-skill

This skill helps users automatically extract Amazon product reviews via the Amazon Reviews API. Agent should proactively apply this skill when users express needs like getting reviews for Amazon product with ASIN B07TS6R1SF, analyzing customer feedback for a specific Amazon item, getting ratings and comments for a…

browser-act/skills · 124 tokens

amazon-competitor-analyzer

Scrapes Amazon product data from ASINs using browseract.com automation API and performs surgical competitive analysis. Compares specifications, pricing, review quality, and visual strategies to identify competitor moats and vulnerabilities.

browser-act/skills · 48 tokens

asc-subscription-localization

Bulk-localize subscription, subscription-group, and in-app purchase display names across App Store locales using asc, including API 4.4.1 version-scoped v2 resources. Use when filling or updating subscription/IAP names and descriptions without App Store Connect UI work.

rorkai/app-store-connect-cli-skills · 60 tokens

food-order

Reorder previous Foodora orders, preview cart contents, and track delivery ETA/status with ordercli. Use when the user wants to reorder food, check delivery status, or browse recent Foodora order history. Never confirm an order without explicit user approval.

Bitterbot-AI/bitterbot-desktop · 53 tokens

product-description-generator

E-commerce product description generator for any platform. Generates optimized titles, bullet points, descriptions, and backend keywords using competitor research + keyword scoring + FABE copywriting. Two modes: (A) Create — generate listing from product specs with optional competitor analysis, (B) Optimize — improve…

nexscope-ai/eCommerce-Skills · 126 tokens

amazon-price-tracker

Amazon price monitoring and competitive pricing intelligence. Real-time price tracking, Buy Box analysis, promotion detection, and dynamic pricing strategy optimization. Use when the user asks about price monitoring, competitor pricing, Buy Box tracking, or pricing strategy.

nexscope-ai/Amazon-Skills · 51 tokens