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dsh-euler-totient

Model Inference Updated 2026.08.20

Run the following command in DeepSeek Harness:

dsh plugin install uckkk/dsh-euler-totient

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

Install this plugin in DeepSeek Harness by running dsh plugin install uckkk/dsh-euler-totient; source repository: https://github.com/uckkk/dsh-euler-totient

About this plugin

Euler's totient function (phi(n)) appears repeatedly in number-theory reasoning, cryptographic analysis, and graph-structure computation, yet many inference pipelines lack a lightweight, plug-and-play tool to compute it on the fly. dsh-euler-totient closes that gap by registering the calculation as a session-level tool you can invoke directly, removing the need to write ad-hoc scripts or spin up external services for a single arithmetic primitive.

Under the hood the plugin is implemented in pure Node.js with zero network calls and no third-party runtime dependencies. This makes it safe to deploy inside offline sandboxes, air-gapped clusters, or internal inference nodes where outbound traffic is restricted or simply not permitted. Once installed, the tool is automatically registered into the current session, so calling it feels exactly like using a built-in capability with no extra startup steps or configuration files.

It is a natural fit for developers building number-theory-aware inference pipelines, algorithm teams that need phi(n) values without provisioning additional services, and engineers working in constrained or air-gapped environments who prefer local, low-coupling solutions over cloud-dependent utilities.

Use Cases

  • Compute phi(n) inline within an inference pipeline
  • Invoke number-theory tools inside an offline sandbox
  • Obtain the count of coprime residues in cryptographic analysis

Best For

  • Developers building number-theory-aware inference pipelines
  • Engineers running local tools in restricted or air-gapped networks
  • Algorithm teams working on cryptography or graph-structure analysis