dsh-local-share
Run the following command in DeepSeek Harness:
dsh plugin install ChuanTianML/dsh-local-share
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install ChuanTianML/dsh-local-share inside DeepSeek Harness to install this plugin; the source code is available at https://github.com/ChuanTianML/dsh-local-share .
About this plugin
When doing code review, filing an issue, or handing off context between teams, you often need a few conversation turns from a DeepSeek Harness session turned into a readable document. The official session-log ZIP is lossless but bulky, full of metadata, and uploading it can expose credentials, internal paths, or model reasoning you never meant to share. DSH Local Share exists to close that gap: pick the turns you want to share, get a clean, well-formatted document generated entirely on your machine, and never send a byte over the network.
The plugin adds a Share action to the Web session header. You can export selected turns or the full session as Markdown, a script-free self-contained HTML file, or a single long PNG. Assistant text is rendered as safe GFM with headings, lists, tables, and code blocks; human prompts stay literal. Heuristic redaction is on by default and covers common credentials, authorization headers, email addresses, and absolute local paths. Tool result bodies and model reasoning are never included in any format. The preview runs inside a sandboxed iframe with a strict CSP, and even if you switch redaction off, copy and download stay locked until you give a fresh risk acknowledgement.
Built for developers who need to share DSH conversation snippets in code reviews, bug reproductions, knowledge bases, or cross-team handoffs without tripping data-compliance policies. It complements rather than replaces the official session-log ZIP: by deliberately omitting raw replay and forensic data, it keeps the focus on the human-readable text that actually matters to your reader.
Screenshots
Use Cases
- Sharing DSH conversation snippets during code review
- Attaching relevant dialogue context to bug reports
- Exporting key turns for cross-team handoffs
Best For
- Developers who share conversations locally without uploads
- Engineering teams focused on data compliance and privacy
- Engineers using DeepSeek Harness in daily workflows
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