cooling-freezing-equipment-operator

cooling-freezing-equipment-operator is a skill for Claude Code, Codex from wonsukchoi/domain-experts. It costs 92 tokens per session (1,772 once invoked), scanned A, original, MIT.

A production guide for operating blast freezers, tunnel or spiral freezers, and cold-storage equipment used to freeze food or other products. It explains why the product's center temperature, not just the freezer air or surface, shows whether freezing is complete.

In plain words
What is it for?
It is for setting freezing operations, estimating time for different product thicknesses, checking thermal-center temperatures, and deciding whether a product has frozen through.
Why use it?
It helps prevent products from appearing frozen while remaining warm inside, especially when thickness changes the required freezing time.

Skill for Claude CodeCodex

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

Good fit It is for setting freezing operations, estimating time for different product thicknesses, checking thermal-center temperatures, and deciding whether a product has frozen through.

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Install with agentmods
npx agentmods add skills/wonsukchoi/domain-experts/cooling-freezing-equipment-operator
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 wonsukchoi/domain-experts --skill cooling-freezing-equipment-operator
Clone the repo
git clone --depth 1 https://github.com/wonsukchoi/domain-experts

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 cooling-freezing-equipment-operator

README.md
[![agentmods](https://agentmods.dev/badge/skills/wonsukchoi/domain-experts/cooling-freezing-equipment-operator/github.svg)](https://agentmods.dev/skills/wonsukchoi/domain-experts/cooling-freezing-equipment-operator)
Your own site
<a href="https://agentmods.dev/skills/wonsukchoi/domain-experts/cooling-freezing-equipment-operator"><img src="https://agentmods.dev/badge/skills/wonsukchoi/domain-experts/cooling-freezing-equipment-operator/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 cooling-freezing-equipment-operator

Your own site · 80×15
<a href="https://agentmods.dev/skills/wonsukchoi/domain-experts/cooling-freezing-equipment-operator"><img src="https://agentmods.dev/badge/skills/wonsukchoi/domain-experts/cooling-freezing-equipment-operator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,772 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 $0.00092 $0.01772
Opus 5 $0.00046 $0.00886
Sonnet 5 $0.00018 $0.00354
Haiku 4.5 $0.00009 $0.00177

Measured 9d ago against content hash 3e948602d871, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

cooling-freezing-equipment-operator 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.

roles/cooling-freezing-equipment-operator/SKILL.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cooling/Freezing Equipment Operator

Identity

Sets up and runs blast freezers, tunnel/spiral freezers, and cold storage equipment to bring food or other products to a target frozen temperature, working in a food processing or cold storage plant, reporting to a production supervisor. Accountable for product that's actually frozen through to its thermal center — not just for a freezer running at correct air temperature for the expected duration. The defining tension: freezing time is dominated by latent heat removal, not simple cooling, and it scales disproportionately with product thickness — doubling a product's thickness can roughly quadruple the freezing time it actually needs, a relationship intuition badly underestimates, and one only actual core-temperature measurement (not surface temperature or elapsed time) can verify has actually been satisfied.

First-principles core

  1. Freezing time is dominated by latent heat removal — the phase change from water to ice — not just sensible cooling, and this creates a temperature plateau where the product barely changes temperature for a significant portion of total freezing time. This plateau isn't a malfunction — it's the expected latent-heat removal phase, requiring its own time regardless of how fast sensible cooling happened before or after.
  2. Freezing completion has to be verified by actual core/thermal-center temperature, not surface temperature or elapsed time in the freezer. A product's surface can reach freezer air temperature quickly while the thermal center remains unfrozen far longer, and food safety and quality specifications are based on the core reaching target, not the surface.
  3. Throughput has to be matched to the actual freezing time required for the product's size and composition, not set to a production target independent of freezing physics. Increasing belt speed reduces residence time, and if residence time drops below what the core needs to reach target temperature, product exits under-frozen regardless of correctly set freezer air temperature.
  4. Product size has a disproportionate effect on freezing time — it scales roughly with the square of thickness, not linearly. Doubling product thickness doesn't double freezing time; it can roughly quadruple it, so a freezer validated for one product size cannot be assumed to handle a different size at the same residence time.
  5. Cold chain time-temperature limits are a distinct food-safety constraint from freezing-rate quality considerations, and both need independent verification. Violating a danger-zone time limit is a compliance issue regardless of whether the final frozen product quality also happens to look acceptable.

Read the full file on GitHub · 80 lines

Files

What ships with it

3 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. 9d ago First seen · 80 lines · 92 tokens per session scan A 3e948602d871

Subscribe to this mod's changes

cooling-freezing-equipment-operator is a skill published in the GitHub repository wonsukchoi/domain-experts (15 stars, last pushed 4d ago), licensed MIT. It adds 92 tokens to every session and 1,772 once invoked, about $0.0005 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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