myhotlunchbox

myhotlunchbox is a skill for Claude Code from chrischall/myhotlunchbox-mcp. It costs 74 tokens per session (1,287 once invoked), scanned A, original, MIT.

Shell instructions for using My Hot Lunchbox’s online account through command-line tools such as curl and jq. My Hot Lunchbox is a school-lunch service for viewing calendars, students, carts, orders, deliveries, and payments.

In plain words
What is it for?
Use them to sign in from a terminal, inspect lunch calendars and carts, check orders and deliveries, and review payments.
Why use it?
They let scripts read account data without a browser or installed MCP server, while keeping login details out of shell history.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument.

Part of the myhotlunchbox-mcp plugin — 1 skill, 2 MCP servers shipped together

Good fit Use them to sign in from a terminal, inspect lunch calendars and carts, check orders and deliveries, and review payments.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/chrischall/myhotlunchbox-mcp/myhotlunchbox
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 chrischall/myhotlunchbox-mcp --skill myhotlunchbox
Clone the repo
git clone --depth 1 https://github.com/chrischall/myhotlunchbox-mcp

Made for: Claude Code.

Or install myhotlunchbox-mcp, the plugin that ships this one along with the rest of its 1 skill, 2 MCP servers.

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 myhotlunchbox

README.md
[![agentmods](https://agentmods.dev/badge/skills/chrischall/myhotlunchbox-mcp/myhotlunchbox/github.svg)](https://agentmods.dev/skills/chrischall/myhotlunchbox-mcp/myhotlunchbox)
Your own site
<a href="https://agentmods.dev/skills/chrischall/myhotlunchbox-mcp/myhotlunchbox"><img src="https://agentmods.dev/badge/skills/chrischall/myhotlunchbox-mcp/myhotlunchbox/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 myhotlunchbox

Your own site · 80×15
<a href="https://agentmods.dev/skills/chrischall/myhotlunchbox-mcp/myhotlunchbox"><img src="https://agentmods.dev/badge/skills/chrischall/myhotlunchbox-mcp/myhotlunchbox.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,287 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00074 $0.01287
Opus 5 $0.00037 $0.00643
Sonnet 5 $0.00015 $0.00257
Haiku 4.5 $0.00007 $0.00129

Measured 12d ago against content hash ab2ad89b7a7d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

myhotlunchbox scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

description: Read and manage a My Hot Lunchbox school-lunch account from a shell with curl — sign in, list students, read the lunch calendar and cart, check orders, deliveries and payments. Use when you want My Hot Lunch
skills/myhotlunchbox/SKILL.md · 113 lines

How it starts

The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.

My Hot Lunchbox from the shell

ordernow.myhotlunchbox.com exposes a plain JSON API behind an OAuth2 password grant. It is reachable server-side — no browser, no extension, no bridge. Two curl calls get you data: one to sign in, one per read.

Sign in once per shell

Credentials come from the environment; never paste them into a command line (that puts them in shell history).

export MHLB_USER='[email protected]'
export MHLB_PASS='…'          # e.g. read -rs MHLB_PASS
export MHLB=https://ordernow.myhotlunchbox.com

mhlb_login() {
  local resp
  resp=$(curl -sS -X POST "$MHLB/api/auth/login" \
    -H 'Content-Type: application/x-www-form-urlencoded' \
    -H 'Accept: application/json' \
    --data-urlencode 'grant_type=password' \
    --data-urlencode "username=$MHLB_USER" \
    --data-urlencode "password=$MHLB_PASS" \
    --data-urlencode 'scope=openid offline_access email profile roles') || return 1
  MHLB_TOKEN=$(printf '%s' "$resp" | jq -r '.access_token // empty')
  if [ -z "$MHLB_TOKEN" ]; then
    printf '%s' "$resp" | jq -r '.error_description // .error // "login failed"' >&2
    return 1
  fi
  export MHLB_TOKEN
}

# Authenticated GET.  usage: mhlb_get /parent/childrenInfo [curl args…]
mhlb_get() {
  local endpoint=$1; shift   # NOT `path`: zsh ties $path to $PATH
  curl -sS "$MHLB/api$endpoint" -H "Authorization: Bearer $MHLB_TOKEN" -H 'Accept: application/json' "$@"
}

mhlb_login && mhlb_get /auth/userinfo | jq '{name, email, students_count, pending_orders_count, parent_credit_value}'

A failed sign-in must not be retried. The server is OpenIddict and counts failed attempts; repeated failures can escalate to a CAPTCHA and remove server-side sign-in for that account entirely. If invalid_grant comes back, stop and check the credentials.

The token lasts about an hour. Re-run mhlb_login when a call starts returning 401.

The three reads that answer most questions

# Who the students are — the id feeds everything else
mhlb_get /parent/childrenInfo | jq '.[] | {id, firstName, schoolName, gradeTeacher, isInactive}'

# The lunch calendar for a date range (POST, despite being a read).
# The fields are `start`/`end`. Using `startDate`/`endDate` returns 200 with an
# EMPTY events array — a silent wrong answer, not an error.
curl -sS -X POST "$MHLB/api/calendar/studentSchoolData" \
  -H "Authorization: Bearer $MHLB_TOKEN" -H 'Content-Type: application/json' \
  -d '{"start":"2026-09-01","end":"2026-09-30"}' | jq '.events[] | {studentId, id, start, className}'

# What is in the cart but not yet paid for
mhlb_get '/event/shoppingCart' | jq .

Read the full file on GitHub · 113 lines

Files

What ships with it

1 file 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.

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. 12d ago First seen · 113 lines · 74 tokens per session scan A ab2ad89b7a7d

Subscribe to this mod's changes

myhotlunchbox is a skill published in the GitHub repository chrischall/myhotlunchbox-mcp (0 stars, last pushed 2d ago), licensed MIT. It adds 74 tokens to every session and 1,287 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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