dsh-future-synthetic-food
Run the following command in DeepSeek Harness:
dsh plugin install uckkk/dsh-future-synthetic-food
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install uckkk/dsh-future-synthetic-food in the DeepSeek Harness terminal to install this plugin; the source code is available at https://github.com/uckkk/dsh-future-synthetic-food .
About this plugin
When you are working inside a model-inference session and need to quickly browse the full synthetic-food catalogue or look up a single entry by its id or name, dsh-future-synthetic-food provides two ready-to-use local tools. list_synfood enumerates every synthetic-food record, while get_synfood returns the details of one entry keyed by id or name, so data lookups inside a conversation no longer require an external service or a network round-trip.
The plugin is implemented entirely in Node with zero runtime network dependencies. It is a natural fit for offline sandboxes, air-gapped inference pipelines, or edge environments where every extra dependency and every HTTP call is a liability. Data is loaded once, queries are synchronous, and there is no timeout, no auth handshake, and no third-party failure surface to worry about.
If you are building AI applications in food science, future dining, or synthetic nutrition and need a lightweight, protocol-free way to reference structured food entries during inference, this plugin fits the bill. It is MIT-licensed and works out of the box once installed.
Use Cases
- Quickly browse the full synthetic-food catalogue inside an inference session
- Look up a specific synthetic-food entry by id or name
- Retrieve structured food data in air-gapped or offline environments without any network calls
Best For
- Developers building food-science or synthetic-nutrition AI applications
- Engineers working in air-gapped or intranet inference pipelines who need local data access
- AI engineers who need to reference structured food entries during model conversations
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