dsh-aldehyde-control

You just finished renovating and the room still carries that sharp chemical smell. You have read dozens of threads - charcoal, photocatalyst, a half-year of ventilation - and the more sources you gather, the harder it is to pick a single course of action. dsh-aldehyde-control exists for exactly that moment of information overload: feed it your room size, primary board materials, and current ventilation setup, and it runs a quantitative model to return a concrete, actionable formaldehyde-treatment plan, removing the need to cross-reference papers and calculators on your own.

The core tool, aldehyde_control, follows a strict input-to-conclusion workflow. Instead of offering vague general advice, it computes figures against the specific scenario you provide and returns clear, step-by-step recommendations. The plugin is written in pure Node, runs entirely locally, requires no network access, and keeps every piece of data on your machine - lightweight, private, and ready to use offline.

It is built for three audiences: homeowners who have just completed a renovation or brought in new furniture and want to bring formaldehyde levels under control before moving in; professionals in indoor-environment testing and remediation who need to generate a data-backed proposal for a client in seconds; and anyone stuck in the loop of wondering whether hiring a professional service is even worth the cost, and simply wants a single number-backed answer.