dsh-table-attach
Run the following command in DeepSeek Harness:
dsh plugin install yybukn/dsh-table-attach
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install yybukn/dsh-table-attach in DeepSeek Harness to install this plugin from https://github.com/yybukn/dsh-table-attach.
About this plugin
The DSH composer natively accepts only PNG, JPG, WebP, and GIF images on paste or drop. When you need to hand an Excel spreadsheet, a PDF report, or a CSV dataset to the Agent, you are forced to save the file manually and upload it separately, breaking the flow. dsh-table-attach closes that gap: drag an .xlsx file into the editor, copy a PDF and paste it, and the file lands in the current session workspace with an @reference inserted at the caret so the Agent reads the real file.
The client intercepts paste and drop events at the document level, base64-encodes the file, and passes it to the host. The host validates the payload, auto-renames on collision (-1, -2, ...), writes with 0o644 into /attachments/, and guarantees the path stays inside the session workspace. Security defaults include a 50 MiB size cap, blocking of executable extensions (.exe, .dll, .sh, .js, .jar, ...), and file-name sanitization against path traversal. Image pastes and drops still go through the built-in image path, leaving existing workflows untouched.
If you regularly reference spreadsheets, documents, or archives in Agent conversations, this plugin lets you drop files into the editor the same way you drop images, skipping the manual upload step entirely. Toasts and drop hints are available in both English and Chinese.
Use Cases
- Drag an Excel spreadsheet into the editor for the Agent to read and analyze directly
- Paste a PDF document for the Agent to extract and summarize key information
- Drop a CSV or JSON file for the Agent to process structured data
Best For
- Users who frequently reference spreadsheets or documents in Agent conversations
- Developers who want to share non-image files without manual uploads
- Users who leverage DSH for data analysis or document review workflows
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