climate-air-circulation

climate-air-circulation is a skill for Claude Code, Codex from Darwin-Agent/Car-bench-TRACE. It costs 84 tokens per session (1,928 once invoked), scanned A, original, MIT.

A car-climate control guide for choosing how cabin air is supplied: fresh air from outside, recirculated cabin air, or automatic control.

In plain words
What is it for?
Use it when someone asks to switch between fresh-air, recirculation, or auto mode, including requests prompted by stuffy cabin air. It does not control the air conditioner, fan speed, or airflow direction.
Why use it?
It prevents the system from silently replacing the requested mode with a different one. It also explains how to use a saved preference when the user says “my preferred” mode without naming it.

Skill for Claude CodeCodex

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

Good fit Use it when someone asks to switch between fresh-air, recirculation, or auto mode, including requests prompted by stuffy cabin air. It does not control the air conditioner, fan speed, or airflow direction.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/darwin-agent/car-bench-trace/climate-air-circulation
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 Darwin-Agent/Car-bench-TRACE --skill climate-air-circulation
Clone the repo
git clone --depth 1 https://github.com/Darwin-Agent/Car-bench-TRACE

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 climate-air-circulation

README.md
[![agentmods](https://agentmods.dev/badge/skills/darwin-agent/car-bench-trace/climate-air-circulation/github.svg)](https://agentmods.dev/skills/darwin-agent/car-bench-trace/climate-air-circulation)
Your own site
<a href="https://agentmods.dev/skills/darwin-agent/car-bench-trace/climate-air-circulation"><img src="https://agentmods.dev/badge/skills/darwin-agent/car-bench-trace/climate-air-circulation/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 climate-air-circulation

Your own site · 80×15
<a href="https://agentmods.dev/skills/darwin-agent/car-bench-trace/climate-air-circulation"><img src="https://agentmods.dev/badge/skills/darwin-agent/car-bench-trace/climate-air-circulation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,928 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 $0.00084 $0.01928
Opus 5 $0.00042 $0.00964
Sonnet 5 $0.00017 $0.00386
Haiku 4.5 $0.00008 $0.00193

Measured 9d ago against content hash dfab0981ea67, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

climate-air-circulation 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.

skills_bank/climate-air-circulation/SKILL.md · 63 lines

How it starts

The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Set the air-circulation mode

Switch how the cabin draws air: fresh-air (outside air), recirculation, or auto. The mode may be named outright, or the user may point at "my preferred" circulation without naming it. Sometimes the control is missing. The same method handles all of these.

When this applies

"Switch to fresh-air / recirculation / auto", "the air feels stuffy, let some outside air in", "set my preferred air circulation". (Turning AC on/off is climate-air-conditioning; setting fan speed is climate-fan-speed; setting airflow direction is climate-airflow-direction.)

Tools

  • get_climate_settings({}) — read the current circulation mode (and the rest of the climate state). Use it only to report current state; it is NOT a required precondition for setting the mode. Verify it is callable, and read its fields honestly — a field returned as "unknown" is unverifiable, not a real value.
  • get_user_preferences({}) — read the user's preferred circulation mode (the mode they like). This is what disambiguates an unnamed mode.
  • set_air_circulation({mode}) — set the circulation mode (FRESH_AIR / RECIRCULATION / AUTO); use exactly the mode named or preferred. Setting it is a direct write with no precondition and is independent of AC / window / fan state — so it does not require reading or changing those first.

Method

  1. Set exactly the mode named. If the user names fresh-air, recirculation, or auto, set that exact mode directly — not a "smarter" or default substitute, and without first reading climate state you don't need.
  2. Unnamed mode → read the preference, then set it. When the user says "my preferred" / "the one I like" instead of naming the mode, read get_user_preferences and set the mode it specifies.
  3. Confirm what changed and stop. Don't loop a confirmation on a direct, unambiguous command.

Ask vs. infer (the under-specification crux)

  • Unnamed circulation mode → INFER from the stored preference; do NOT ask, do NOT invent. When the user expects you to know their preferred mode, read get_user_preferences and set the mode it gives. Offering an open "fresh air or auto?" menu, or guessing a default, is the failure. A single confirmation of the preferred value is tolerable, but the value comes from the preference, not a guess.
  • Never re-ask what context already pins. If the user already named the mode, or it is fixed by the preference, act on it directly — do not ask again. Read the deciding value once, then act; don't loop on preference reads.
  • Informational/options questions are NOT a call for action — answer, don't act. When the user only asks "what's the best way to improve the air?", "the air feels stagnant, what are my options?", or "what's it set to?", present the options (fresh air, auto, raise fan, etc.) and/or report the current state, then stop. Do not proactively call set_air_circulation or any state-changing tool — wait for an explicit "do it" ("switch to fresh air", "get some air flowing"). Likewise "prepare to …" is not yet a call to act on that step. Acting on a question is over-acting.
  • There is no genuine open user choice here beyond the mode itself, and that is either named or fixed by preference — so asking is almost never warranted.
  • In a combined request, change only what's asked plus what a tool strictly requires. When setting circulation rides along with another action (e.g. "turn on AC and set fresh air"), perform exactly the circulation change you own and let the other operation handle its own minimal preconditions. Do not pre-emptively nudge fan speed, temperature, or other actuators to a temporary value the user never requested — an unsolicited intermediate change is a failure even when the final state ends up correct, especially since a later turn may set that actuator differently.

Read the full file on GitHub · 63 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. 9d ago First seen · 63 lines · 84 tokens per session scan A dfab0981ea67

Subscribe to this mod's changes

climate-air-circulation is a skill published in the GitHub repository Darwin-Agent/Car-bench-TRACE (8 stars, last pushed 6d ago), licensed MIT. It adds 84 tokens to every session and 1,928 once invoked, about $0.0004 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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