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.
npx agentmods add skills/darwin-agent/car-bench-trace/climate-temperaturenpx skills add Darwin-Agent/Car-bench-TRACE --skill climate-temperaturegit clone --depth 1 https://github.com/Darwin-Agent/Car-bench-TRACEWrote 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.
[](https://agentmods.dev/skills/darwin-agent/car-bench-trace/climate-temperature)<a href="https://agentmods.dev/skills/darwin-agent/car-bench-trace/climate-temperature"><img src="https://agentmods.dev/badge/skills/darwin-agent/car-bench-trace/climate-temperature.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00175 | $0.03337 |
| Opus 5 | $0.00088 | $0.01669 |
| Sonnet 5 | $0.00035 | $0.00667 |
| Haiku 4.5 | $0.00017 | $0.00334 |
Grade A, and why
climate-temperature 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.
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.
Set the climate temperature
Set a zone's target temperature. The value may be absolute ("set it to "), relative ("reduce by degrees", "a few degrees warmer"), matched to another zone ("match my side to the passenger"), or fixed by a stored preference. The target may be the whole car or a single zone. Sometimes a needed reading is missing. The same method handles all of these.
When this applies
"Set the temperature to ", "reduce the temperature by degrees", "make it a couple degrees warmer", "match my side to the passenger's", "set the whole car to ", "set it to my usual temperature". Also vague comfort statements that imply a temperature change ("I'm too warm", "it's chilly in here", "warm up the car") — but see "Ask vs. infer" for how to handle these, since they usually call for surfacing options rather than silently setting a number. (Turning AC on is climate-air-conditioning; seat heating is climate-seat-heating; steering-wheel heating is climate-steering-wheel-heating.)
Tools
get_temperature_inside_car({})— read current per-zone cabin temperature; required before any relative ("by N") or match-another-zone set, and to check the cross-zone gap after a single-zone set. A field MAY return"unknown"— genuinely unverifiable, not a value.get_user_preferences({})— read a preference-fixed temperature (the temperature the user likes) so you don't ask for it.set_climate_temperature({temperature, seat_zone})— set a zone's target temperature.seat_zoneaccepts a single zone (driver, passenger) or a whole-car group value; use the group value when the setting applies to the whole car — not one call per zone. This tool (or itsseat_zoneargument) MAY be absent for a task — verify it is callable before relying on it.get_climate_settings({})/get_seat_heating_level({})— read current climate state and seat-heating level. Use these to ground the options you offer when the user only voices a feeling, so you surface what is actually active (e.g. a heater running while they're too warm) rather than a generic menu.
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.
- 5d ago First seen · 80 lines · 175 tokens per session scan A 78aa73131132
climate-temperature is a skill published in the GitHub repository Darwin-Agent/Car-bench-TRACE (7 stars, last pushed 2d ago), licensed MIT. It adds 175 tokens to every session and 3,337 once invoked, about $0.0009 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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