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dsh-uuid

Model Inference Updated 2026.08.19

Run the following command in DeepSeek Harness:

dsh plugin install uckkk/dsh-uuid

Paste the following prompt into your AI chat to install this plugin:

Run dsh plugin install uckkk/dsh-uuid inside DeepSeek Harness to install; full source code is available at https://github.com/uckkk/dsh-uuid.

About this plugin

UUID generation and parsing sounds trivial until you are inside a constrained pipeline: offline data processing, privacy-sensitive inference workflows, or a Node.js environment where pulling in yet another external dependency feels like overkill. dsh-uuid strips the task down to what it is: a pure Node.js implementation with zero network calls and zero external service dependencies. Install it, call the tool, done.

The plugin is deliberately narrow. It generates standard UUIDs and parses existing UUID strings, with nothing more and nothing less. There is no abstraction overhead and no async ceremony beyond what the host already provides. That focus means it slots cleanly into any Node.js pipeline: data labeling, log correlation, session tracing: without risking network latency or a third-party outage.

Who is it for? If you are building a local inference stack, an offline data pipeline, or simply want a UUID utility you can read the source of and trust at face value, dsh-uuid is a minimal, auditable choice under the MIT license. Skim the code once, then let it quietly handle identifiers while your real logic runs.

Use Cases

  • Generating and validating unique identifiers in offline data pipelines
  • Tracing local inference sessions and correlating logs
  • Integrating an internal toolchain without any external service dependency

Best For

  • Developers building local inference pipelines
  • Engineers working with offline data or restricted network access
  • Node.js developers who prefer minimal, auditable dependencies