dsh-file-drop-eac
Run the following command in DeepSeek Harness:
dsh plugin install jing-hy/dsh-file-drop-eac
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install jing-hy/dsh-file-drop-eac in the DeepSeek Harness terminal to install this plugin, source code at https://github.com/jing-hy/dsh-file-drop-eac
About this plugin
In Deepseek Harness EAC, dragging a local file straight into the chat input is the most natural way to hand material to the Agent, but the older dsh-file-drop had a hidden pitfall: dropping an image could clash with the vision bridge and trigger duplicate injection. dsh-file-drop-eac is an EAC-specialized rewrite that trims those edge cases so every file type follows the right pipeline.
For text and code files (such as .md, .js, .py, .json), the content is injected directly into the input box with a file header, up to 256 KB, letting the Agent read it immediately. Binary or oversized files get a full disk-path hint so the Agent can fetch them via its file tools. Folders are recognized and surfaced with a practical downgrade prompt, since browser and Electron security models prevent reading an absolute directory path. Images are deliberately left untouched, deferring to the vision bridge and native thumbnails to eliminate any injection conflict.
This plugin is ideal for developers who work with EAC daily, whether on the desktop or web client. If you frequently feed code files, configs, or project structure into the Agent, the drag-and-drop flow is smoother than pasting paths, and the per-type handling keeps the experience clean without unwanted side effects.
Use Cases
- Drag code or config files into the chat input for the Agent to read and analyze instantly
- Drop a folder to receive a practical directory fallback prompt and identify key files to drag individually
- In the EAC desktop client, avoid duplicate injection conflicts when dragging images alongside other files
Best For
- Developers who collaborate with the Agent on the EAC desktop client daily
- Engineers who frequently hand local code, configs, or project structure to the Agent
- Users of the Deepseek Harness EAC web interface working with local files
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