
Lark/Feishu IM bot channel for DeepSeek Harness | 飞书 DeepSeek Harness 插件
Install Dsh Lark
Clean install: prebuilt on npm and declares a `dsh.bundle` layer. Heads up: it runs install-time scripts (prepare, prepack) on your machine.
The one-line version
dsh plugin --profile my-profile add dsh-lark-channelThe easy path: this bundle is published to npm, so the install pulls a prebuilt artifact — no build step runs on your machine and no build approval is needed.
From npm — installs a prebuilt artifact, no build step on your machine
# 1. add the bundle to a profile — --profile my-profile points at $DSH_HOME/profiles/my-profile
dsh plugin --profile my-profile add dsh-lark-channel
# 2. verify: the bundle should show up as a layer in the resolved config
dsh --profile my-profile --dump-config
# 3. boot the profile
dsh --profile my-profilePackage: dsh-lark-channel
Prefer to install from source instead?
From GitHub — pulls source, and may ask for build approval on first run
# 1. add the bundle to a profile — --profile my-profile points at $DSH_HOME/profiles/my-profile
dsh plugin --profile my-profile add github:omdsh-dev/dsh-lark#<commit-sha>
# 2. verify: the bundle should show up as a layer in the resolved config
dsh --profile my-profile --dump-config
# 3. boot the profile
dsh --profile my-profileBefore you run itinstall scripts
- This package declares
prepare,prepack— package-manager lifecycle scripts that execute on your machine at install time, outside the agent sandbox, before any tool-approval prompt exists. - A plugin runs with your permissions once loaded: it can read your files, use your credentials and reach the network. Tool approvals do not sandbox it.
Prerequisites
- API key
- Required — see the repository README for which provider.
- Network access
- Required at runtime.
- Language
- TypeScript
Install check
Every field the verdict was derived from, so you can re-derive it yourself
| Field checked | Result | Weight | What the spec says about it |
|---|---|---|---|
| lifecycleScripts | fail | warn | runs at install time, outside the agent sandbox: prepare, prepack |
| dsh.bundle | pass | fatal | package.json declares a `dsh.bundle` layer |
| dsh.bundle.patch file | pass | fatal | patch file present at `cordis.patch.yml` |
| npm registry | pass | fatal | published as `dsh-lark-channel` — prebuilt artifacts |
- Verdict reason
- on npm with a valid bundle declaration
- package.json read
- package.json
- Rules applied from
- docs/user/develop/basic/publish.md
- Checked at
- 2026-08-15
- Install-time scripts
prepare,prepack
From the README
Excerpt as published by the author, plain text, unedited
English | [中文](README.zh.md) A Lark/Feishu IM bot channel plugin for DeepSeek Harness. Each chat (direct message or group) drives its own DSH agent; the assistant's reasoning and tool calls show as the platform's native thinking process, the answer is sent separately, and host approval questions become interactive cards decided by button clicks. Transport is `@larksuite/channel` over a WebSocket long connection, so no public callback URL is needed. --> - [Features](#features) - [Requirements](#requirements) - [Quickstart](#quickstart) - [Configuration](#configuration) - [Behavior](#behavior) - [Limitations](#limitations) - [Development](#development) - One agent per conversation. `sessionScope` picks the facet: the whole chat, one topic thread, or one sender inside a shared chat. Session i
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