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dsh-plugin-wepre

Web Tools Updated 2026.08.14

Run the following command in DeepSeek Harness:

dsh plugin install shujiTech/dsh-plugin-wepre

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

Run dsh plugin install shujiTech/dsh-plugin-wepre to install the plugin; source code is at https://github.com/shujiTech/dsh-plugin-wepre

About this plugin

AI generations can take tens of seconds or longer, and the loading gap often feels like dead time. WePre Next fills that gap by pushing a single-viewport, offline, sandboxed content card to the user while they wait. The catch is that the publishing workflow itself is fiddly: log in, upload, review the QA report, fix the card, re-upload, and repeat. dsh-plugin-wepre collapses that entire loop into one dsh conversation so the agent can write the card, ship it, read the QA feedback, patch it, and republish—all without a human in the loop.

The plugin exposes five tools covering authentication (SMS or email one-time code with a locally persisted session), card publishing (.html or .zip through the server-side QA gate), and QA report retrieval. The standout design is the automated QA fix loop: when the gate returns QA_GATE_FAILED, the agent reads the structured per-viewport issue list, modifies the card, and republishes under the same contentId. Before every upload it also runs a local pre-flight scan that flags banned tokens like fetch, localStorage, and Worker, plus external or root-absolute URLs, reducing wasted round-trips. Credentials resolve from a config token, an environment variable, or the stored session, so both interactive sessions and headless CI pipelines work out of the box.

If your dsh workflow needs to deliver single-screen content cards to WePre Next, or you are building an automated pipeline for "AI-waiting-period content," this plugin turns publishing into a routine tool call for the agent rather than a manual ops step.

Use Cases

  • Publish single-viewport content cards to WePre Next directly from a dsh conversation
  • Deliver offline sandboxed cards to users during AI generation wait times
  • Integrate QA report parsing and card auto-fix loops into publishing pipelines
  • Batch publish and update cards via token in headless CI workflows

Best For

  • Engineers working in dsh-based AI workflows
  • Teams shipping content cards to the WePre Next platform
  • Developers building automated AI-waiting-period content delivery pipelines