dsh-sign
Run the following command in DeepSeek Harness:
dsh plugin install uckkk/dsh-sign
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install uckkk/dsh-sign in DeepSeek Harness to install this plugin; the full source code is available at https://github.com/uckkk/dsh-sign, and once installed you can invoke its registered symbol evaluation tool directly within a session.
About this plugin
At the symbol-evaluation stage of a model-inference pipeline, the operations tend to be tiny but called frequently. Routing every single check through a network call or an external service adds needless latency and makes local workflows brittle. dsh-sign packages symbol judgment into a pure Node.js plugin with zero network dependency and no extra runtime, so you can run symbol-level inference in the leanest possible environment without standing up any backend.
The workflow stays deliberately simple: once the plugin is installed it registers its tool automatically, and you invoke that tool directly inside a session. There is no API wiring, no configuration file, and no outbound request on every call. Every evaluation completes locally in the same process, which keeps both latency and footprint at a minimum.
This makes dsh-sign a good fit for anyone building deterministic, high-frequency symbol operations inside a local inference pipeline — especially when the environment is offline, air-gapped, or simply asked to stay minimal. Released under the MIT license, it can be dropped into any project without usage restrictions or attribution friction.
Use Cases
- High-frequency, low-latency symbol evaluation inside a local inference pipeline
- Deterministic inference tasks in offline or air-gapped environments
- Quickly registering a zero-dependency judgment tool in a lightweight toolchain
Best For
- Developers building local inference pipelines who want to eliminate network overhead
- Engineers who prioritize latency sensitivity and prefer pure in-process computation
- Teams deploying model workflows in restricted or offline environments
Related Plugins
A unified suite combining hot runtime injection, task-aware thinking-mode routing, and a graded session protocol with red-team gates to sustain model diligence across long-horizon inference.
ModLens is a vision plugin for DeepSeek Harness that gives text-only models sight by reading images pasted directly into chat, with zero-config setup and multiple vision engines.
On-demand vision for text-only DeepSeek Harness agents: built-in free keyless vision chain and 14 vision tools, routing image turns as tool calls to vision models with pixel fidelity, no Python needed, one-command install.
Give text-only models in DeepSeek Harness eyes, enabling image Q&A, long-screenshot OCR, UI restoration, and GUI visual tasks.