feishu-dsh-plugin
Run the following command in DeepSeek Harness:
dsh plugin install 2286893544/feishu-dsh-plugin
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install 2286893544/feishu-dsh-plugin in your DeepSeek Harness terminal to install this plugin; the source code is available at https://github.com/2286893544/feishu-dsh-plugin .
About this plugin
Automating Feishu (Lark) workflows from an AI agent—sending messages, editing documents, manipulating bitable records, and managing drive permissions—used to mean stitching together API scripts or relying on third-party bridges. feishu-dsh-plugin plugs 25 native Feishu tools directly into DeepSeek Harness so the agent can drive the full Feishu surface with natural-language calls. It is pure Node with zero external dependencies and no Python requirement.
The plugin spans five core areas: chat and messaging (list groups, post text or rich messages, read history, recall), cloud documents (create, read/write blocks, insert tables, images, and locally rendered charts, resolve wiki nodes), bitable (create tables, manage fields, read and write records), classic spreadsheets (range read/write via the v2 API), and drive permissions (grant access, set link sharing). Documents can be created inside a designated knowledge-base space, and every artifact is auto-shared with a specified user so the operator retains ownership. Charts are rendered locally with a pure-Node PNG encoder, keeping all data on-host.
It is built for teams and individual developers who already run an enterprise self-built Feishu app and want their DeepSeek Harness agent to handle day-to-day Feishu tasks—auto-replies, generating weekly report documents, bulk-updating bitable records, or pulling spreadsheet data—without leaving the chat interface. Configure the App ID and Secret on the settings page, hit the test-connection button to verify credentials, and the agent is ready to work.
Use Cases
- Let the AI agent send, read, and recall messages in Feishu group chats automatically
- Create and edit Feishu cloud documents via natural language, inserting tables, images, and locally rendered charts
- Batch-read and write bitable records while managing drive document permissions and link sharing
Best For
- Teams running enterprise self-built Feishu apps who want AI to handle daily Feishu tasks
- Developers building AI agents with DeepSeek Harness that need a native Feishu toolchain
- Individual users who want to automate Feishu document, spreadsheet, and messaging workflows without writing extra scripts
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