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dsh-len-assistant

Model Inference Updated 2026.09.08

Run the following command in DeepSeek Harness:

dsh plugin install qing-1-1/dsh-len-assistant

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

Run dsh plugin install qing-1-1/dsh-len-assistant in your DeepSeek Harness terminal; the source code is hosted at https://github.com/qing-1-1/dsh-len-assistant . Restart dsh web and refresh the page after installation to activate the plugin.

About this plugin

When you ask an agent how much battery life is left, you usually get a wall of mAh figures, cycle counts, and a terse try restarting. dsh-len-assistant packages the hardware-diagnosis, parts-recommendation, warranty-check, and service-locator capabilities refined by Lenovo service teams into an installable plugin for DeepSeek Harness, so agents ground their conclusions in documented rules rather than free-associating from raw numbers.

Two capability groups do the heavy lifting. The battery suite collects capacity and cycle metrics, computes dual-method health scores, renders an SVG decay trend chart, generates the system-level official report, and triggers service recommendations based on findings; a built-in rulebook ensures users who installed only the plugin still receive the interpretation standard. The Windows device suite covers performance, process, storage, and app queries; Wi-Fi status with 5-to-60-second jitter monitoring; redacted SVG and self-contained HTML reports; and every controlled action such as opening Settings or copying a diagnostic summary requires explicit per-instance user confirmation.

It suits agent developers building device-health diagnostics on DeepSeek Harness or Claude Code, as well as teams that want a battery checkup or Wi-Fi jitter triage step in their workflow. It does not replace OS-native tools; it fills the two gaps most often missing at the conversation layer: an interpretation standard and a service-closure loop.

Use Cases

  • A user asks how long the battery will last and the agent delivers a rule-based structured diagnosis
  • Troubleshooting intermittent Wi-Fi drops with jitter monitoring and an auto-generated redacted report
  • First-touch device checkup producing capacity, cycle count, and an SVG decay trend in one flow

Best For

  • Developers building device-health agents on DeepSeek Harness
  • Teams that need battery checkup or network triage steps in their workflow
  • Product owners who want to offer a conversational hardware-diagnosis experience to end users