recipe-finding

recipe-finding is a skill for Claude Code, Codex from natea/ExoMind. It costs 36 tokens per session (2,932 once invoked), scanned A, original, MIT.

A recipe-searching and portion-scaling workflow. It finds existing recipes, checks their serving amounts, and adjusts ingredients for a different number of people.

In plain words
What is it for?
Finding recipes by type, preference, or dietary need, and resizing them for a chosen number of servings.
Why use it?
It avoids hunting through recipes manually and reduces mistakes when multiplying or dividing ingredient amounts.

Skill for Claude CodeCodex

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

Good fit Finding recipes by type, preference, or dietary need, and resizing them for a chosen number of servings.

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Install with agentmods
npx agentmods add skills/natea/exomind/recipe-finding
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 natea/ExoMind --skill recipe-finding
Clone the repo
git clone --depth 1 https://github.com/natea/ExoMind

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 recipe-finding

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/natea/exomind/recipe-finding"><img src="https://agentmods.dev/badge/skills/natea/exomind/recipe-finding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,932 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 $0.00036 $0.02932
Opus 5 $0.00018 $0.01466
Sonnet 5 $0.00007 $0.00586
Haiku 4.5 $0.00004 $0.00293

Measured 5d ago against content hash 237686a3e1b1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

recipe-finding 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 5d 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/recipe-finding/SKILL.md · 323 lines

How it starts

The opening of the file, as written. The whole thing — 323 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Recipe Finding & Scaling

Overview

Find recipes via web search and resize them based on number of servings. Core principle: Systematic scaling with proper fractional handling ensures accurate, usable recipes.

Announce at start: "I'm using the recipe-finding skill to search for recipes and resize portions."

Quick Reference

Task Steps Key Tools
Find Recipe Search → Extract → Verify yield WebSearch, WebFetch
Scale Recipe Calculate factor → Scale ingredients → Round appropriately Math
Present Original → Scaled → Instructions Formatted output

When to Use

Use when:

  • User requests a recipe by name or type
  • User wants to resize portions (e.g., "recipe for 4 people")
  • User needs ingredient scaling help
  • User wants dietary modifications with scaling

Don't use when:

  • User wants cooking techniques only
  • User wants general nutrition advice
  • Creating original recipes (not finding existing ones)

The Pattern

Recipe Finding Progress:
- [ ] Phase 1: Search & Extract (recipe found with yield)
- [ ] Phase 2: Calculate Scaling (factor determined)
- [ ] Phase 3: Scale Ingredients (all items properly converted)
- [ ] Phase 4: Format Output (clear, usable recipe)

Phase 1: Search & Extract Recipe

Find recipe with clear yield information:

  1. Use WebSearch to find recipes
  2. Prioritize sources: AllRecipes, FoodNetwork, NYT Cooking, Serious Eats
  3. Extract complete recipe including:
    • Original yield (servings or pieces)
    • All ingredients with measurements
    • Instructions
    • Prep/cook times

Example search patterns:

"chocolate chip cookies recipe 24 cookies"
"chicken tikka masala recipe 4 servings"
"pizza dough recipe site:seriouseats.com"

Verify you have:

  • ✅ Clear original yield (e.g., "Makes 24 cookies", "Serves 4")
  • ✅ Complete ingredient list with measurements
  • ✅ Instructions

Phase 2: Calculate Scaling Factor

Formula: Scaling Factor = Desired Servings ÷ Original Servings

Read the full file on GitHub · 323 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. 5d ago First seen · 323 lines · 36 tokens per session scan A 237686a3e1b1

Subscribe to this mod's changes

recipe-finding is a skill published in the GitHub repository natea/ExoMind (21 stars, last pushed 10mo ago), licensed MIT. It adds 36 tokens to every session and 2,932 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 2026-09-03.

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