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dsh-shareone-plugin

Model Inference Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install sudoprivacy/dsh-shareone-plugin

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

Run dsh plugin install sudoprivacy/dsh-shareone-plugin in DeepSeek Harness to install; source code is available at https://github.com/sudoprivacy/dsh-shareone-plugin.

About this plugin

An Agent finishes a task and produces a polished HTML report, a Markdown summary, or an interactive dashboard. How do you hand that result over? Copying into chat feels clumsy; sharing a local path is useless to the recipient. dsh-shareone-plugin closes that gap: the Agent publishes generated content or local files as a ShareOne short link in one tool call, ready to open in any browser with zero setup.

It covers six output types: plain text, Markdown, HTML pages, PowerPoint, PDF, and Word. Text, Markdown, and HTML links can be updated in place rather than recreated each time. Sharing controls include an access password, a watermark, and a custom slug. For collaboration you can read page comments, reply to them, and mark them resolved or dismissed, forming a publish-to-feedback loop. On first use the plugin auto-creates a temporary guest key and stores it in DSH key management, then binds it to your real ShareOne account for long-term use.

If you build Agents on DSH and regularly need to share AI-produced reports, web prototypes, or technical docs with teammates or clients, this plugin is the thinnest possible step in between. No server to stand up, no sharing code to write: the Agent calls one tool and the link is there.

Use Cases

  • Publish an Agent-generated HTML report or Markdown doc as a short link for instant sharing
  • Share password-protected and watermarked documents with external clients to avoid data leaks
  • Read reader comments on a shared page, reply to each, and mark them resolved in a feedback loop

Best For

  • DSH Agent developers who need to deliver AI-produced content frequently
  • Product teams handing off technical reports or web prototypes to clients
  • Collaborative workflows that collect reader feedback and iterate on content