meal-plan-builder

A weekly meal-planning tool that creates menus, nutrition targets, preparation steps, and a shopping list grouped by store aisle.

In plain words
What is it for?
Use it to plan meals for one or more people, calculate or follow calorie and macro targets, handle dietary restrictions, prepare food in batches, and organize groceries. It is not intended for medical nutrition therapy.
Why use it?
It brings dietary needs, calories, budget, ingredient reuse, cooking time, and food waste into one plan instead of making you coordinate them yourself.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/jayrha/agentskills/meal-plan-builder
Any agent
npx skills add JayRHa/AgentSkills --skill meal-plan-builder
Clone the repo
git clone --depth 1 https://github.com/JayRHa/AgentSkills

Made for: Claude Code, Codex.

Per session 118 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,544 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00118 $0.01544
Opus 5 $0.00059 $0.00772
Sonnet 5 $0.00024 $0.00309
Haiku 4.5 $0.00012 $0.00154

Measured 2d ago against content hash 77962257a396, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

meal-plan-builder 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 2d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/plan_calc.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

meal-plan-builder/SKILL.md · 77 lines

How it starts

The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Meal Plan Builder

Overview

Produce a complete, realistic weekly meal plan that hits the user's calorie and macro targets, respects their dietary restrictions and budget, maximizes ingredient reuse to cut cost and waste, and ships with an aisle-organized grocery list plus a batch-prep schedule.

Keywords: meal plan, weekly menu, meal prep, macros, calories, grocery list, shopping list, batch cooking, dietary restrictions, vegan, keto, gluten-free, budget meals, leftovers, portion sizes.

This skill is for planning, not for medical nutrition therapy. For clinical conditions (diabetes management, eating disorders, renal diets), advise the user to consult a registered dietitian.

Workflow

Follow these steps in order. Do not skip the intake — a plan built on wrong assumptions is useless.

  1. Intake. Gather the constraints below. If the user gave only partial info, ask 2-4 focused questions, then proceed with sensible defaults rather than stalling.

    • People & servings (adults/kids, who eats which meals).
    • Calorie target and macro split (or compute it — see step 2).
    • Diet style & restrictions (vegan, vegetarian, pescatarian, keto, paleo, halal, kosher, gluten-free, dairy-free, nut allergy, etc.).
    • Dislikes / must-haves.
    • Budget (per week or per serving) and currency.
    • Cooking time available on weeknights; whether they want to batch-prep on a weekend day.
    • Kitchen equipment (oven, instant pot, blender, etc.) and skill level.
    • Meals per day to plan (breakfast/lunch/dinner/snacks) and number of days.
  2. Set targets. If the user did not give numbers, estimate calories with Mifflin-St Jeor and an activity factor, then apply a macro split fit to their goal. The full formulas, activity factors, goal adjustments, and split presets are in references/macro-targets.md. Always state the assumptions you used.

  3. Pick a strategy for variety + reuse. Use the "rule of overlapping ingredients": choose 2-3 anchor proteins, 2-3 anchor carbs, and a rotating set of vegetables so one shopping trip feeds the whole week. Repeat breakfasts (1-2 options) to reduce decision load; vary lunches and dinners. See references/planning-heuristics.md for the variety/repetition balance, leftover-roll-forward patterns, and batch-prep sequencing.

Read the full file on GitHub · 77 lines

Files

What ships with it

6 files 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. 2d ago First seen · 77 lines · 118 tokens per session scan A 77962257a396

Subscribe to this mod's changes

meal-plan-builder is a skill published in the GitHub repository JayRHa/AgentSkills (4 stars, last pushed 1mo ago), licensed MIT. It adds 118 tokens to every session and 1,544 once invoked, about $0.0006 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 2026-08-31.

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