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DeepSeek-harness-lark

Verified · install-tested on dsh sliverp

✓ Actively maintained 2 contributors Builds on 11 official DSH packages Pure TypeScript

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2026-08-14Last push
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What it does

Feishu and Lark text and image channel plugin for DeepSeek Harness

✅
Our take
Works — verified, early-stage project

Feishu and Lark text and image channel plugin for DeepSeek Harness It installs cleanly and boots without issues in our testing. It's early-stage but functional.

“Verified” means our automated CI actually ran dsh plugin add in a clean profile and it booted — nothing more. Feature descriptions and version compatibility are the author’s claims. This is not a security audit and not an endorsement of third-party code.

README

DeepSeek Harness Lark / Feishu plugin

A DeepSeek Harness channel powered by the official @larksuiteoapi/node-sdk. It uses the official WebSocket transport, so no public callback server is required, and supports both Feishu and international Lark.

Features

  • Official WebSocket connection and automatic reconnection
  • Direct and group access policies; groups require a bot mention by default
  • Text, rich-text, image, and ordinary-file input
  • Durable Harness attachments with model-aware multimodal input
  • Ordinary files are downloaded into .dsh-lark/inbox/ under the Agent workspace so filesystem tools can inspect them
  • Model text replies, generated-image upload, and workspace-file delivery
  • Persistent, isolated Harness sessions per chat; /new retains old history and switches to a blank session
  • Agent presets are mounted and recorded for both creation and resume; the default is standard
  • Registered Harness slash commands execute directly instead of being sent to the model
  • Same-conversation /approve <code> and /reject <code> decisions for one-shot tool approvals
  • /bot-ping, /bot-help, /bot-image-test, /bot-file-test, /bot-status, /bot-cancel
  • App Secret resolution through the Harness credential service
  • Dormant startup when App ID or App Secret is not configured, so installation alone never blocks Harness Web

Requirements

  • Node.js 22.19 or later
  • pnpm 10.33.4
  • DeepSeek Harness 0.1.0-rc.7 or later

Install

pnpm dsh plugin --profile web add github:sliverp/DeepSeek-harness-lark

For a local checkout:

pnpm dsh plugin --profile web add /absolute/path/to/DeepSeek-harness-lark

Configure the Lark application

  1. Create a custom application in the Feishu developer console and enable its bot capability.
  2. Grant im:message.p2p_msg:readonly, im:message.group_at_msg:readonly, im:message:readonly, im:message:send_as_bot, and im:resource. The im:message:readonly scope is required by Feishu's message-resource download endpoint for user-sent images and files.
  3. Select long-connection event delivery and subscribe to im.message.receive_v1.
  4. Publish an application version and add the bot to the required chats.
  5. Put the App ID in LARK_APP_ID and store the App Secret under the Harness credential reference LARK_APP_SECRET.

Environment injection is supported for development:

export LARK_APP_ID='cli_your-app-id'
export LARK_APP_SECRET='your-app-secret'
pnpm dsh --profile web

For durable use, put the App ID in ~/.dsh/.env and store the App Secret through the Harness credential settings surface. Never commit credentials.

Bundle configuration

- id: lark-channel
  name: deepseek-harness-lark
  config:
    appId: !!js process.env.LARK_APP_ID
    appSecretRef: LARK_APP_SECRET
    cwd: !!js process.env.DSH_LARK_CWD ?? process.cwd()

International Lark and restrictive policy example:

    domain: lark
    singlePolicy: allowlist
    singleAllowFrom: [ou_xxx]
    groupPolicy: allowlist
    groupAllowChats: [oc_xxx]
    groupRequireMention: true
    imageInputMode: auto
    maxInboundFiles: 10
    maxInboundFileBytes: 52428800
    maxInboundMessageFileBytes: 104857600
    maxReplyFiles: 5
    maxOutboundFileBytes: 31457280
    approvalTimeoutMs: 240000
    agentPreset: standard

Access policies accept open, allowlist, or disabled. Use allowlists and least-privilege Harness permissions in production.

Connection and authentication run in the background. Missing or invalid Lark credentials leave this channel offline and are logged without blocking Harness startup.

Inbound images and ordinary files are downloaded through the message-scoped resource endpoint using their matching message_id and resource key; this requires im:message:readonly (or the broader im:message). The separate im:resource scope remains necessary for bot-side image/file upload. Filenames are reduced to safe leaf names, files are created without overwriting existing paths, and each message gets a private directory below <cwd>/.dsh-lark/inbox/. The defaults allow 10 files, 50 MiB per file, and 100 MiB total per message. The model receives the saved path and must use its normal filesystem tools to read the file; file contents are not executed or silently injected into the prompt.

When the model intentionally returns a regular workspace file, it places an explicit Markdown link to that file in the final visible answer. The plugin resolves the canonical path, rejects missing files, directories, symlink escapes, and every target outside the session cwd, then uploads the bounded bytes with Lark's file API. Only the final assistant message is inspected; intermediate tool output cannot trigger a file send. By default, one reply may send up to 5 non-empty files of at most 30 MiB each.

When Harness requests tool approval, the plugin sends a requester-bound six-digit code to the originating chat. Reply /approve <code> to allow that operation once or /reject <code> to deny it. Codes are one-shot, cannot cross chats, bypass ordinary message capacity while the original turn waits, and fail closed on timeout, cancellation, send failure, or shutdown. approvalTimeoutMs must remain below responseTimeoutMs.

agentPreset is the explicit fallback for new sessions and persisted records without a preset. The tool-loop fix advances the plugin session namespace from lark-v1-* to lark-v2-*: existing files are neither deleted nor rewritten, but the plugin no longer appends to potentially DSML-contaminated lark-v1-* records. They remain available for inspection in the Web UI.

Verify

Send /bot-ping, /bot-image-test, /bot-file-test, and /new. The bot should return pong, a blue diagnostic image, a downloadable text file, and confirmation that it switched to a blank session. Send ordinary text, an image, and a CSV file; ask the bot to inspect the CSV and verify that it uses the downloaded workspace path. Then ask it to create and send a CSV; the final reply should contain the file attachment. Request an operation that needs approval and reply with the exact /approve <code> or /reject <code> shown; the same turn should continue or stop without using the Web approval panel.

Develop

pnpm install
pnpm run check
pnpm pack

The repository uses PNPM 10.33.4. Plugin runtime requires Node.js >=22.19 and does not require PNPM 11.

Protocol and configuration behavior were cross-checked against larksuite/openclaw-lark. Transport and media operations use the official Lark Node SDK. MIT licensed.

Install

🧩 Let your agent install it (recommended)

Install the catalog once, then DeepSeek Harness can find and install any plugin from this site automatically:

dsh plugin add dshbase-catalog

Then say "install DeepSeek-harness-lark for me" — your agent finds it in the directory and installs it. Docs: dshbase-catalog · verified packs.

This plugin is GitHub source (not published to npm) — install it straight from the repo:

Web profile:

dsh plugin --profile web add github:sliverp/DeepSeek-harness-lark

Headless (CLI) profile:

dsh plugin --profile headless add github:sliverp/DeepSeek-harness-lark

Test report

Verified: L1 install + L2 load + L3 runtime from GitHub source on dsh 0.1.0-rc.6.

When to use it

Connect dsh to the tools you actually work in — office docs, task boards, or chat apps — so it fits your workflow.

Who it's for

Users who want the agent to operate inside their existing productivity stack instead of a silo.

For developers — extending it

Integrations and adapters are the seams — add a new app connector, richer read/write, or workflow triggers.

Security: not yet scanned — our daily static scan will cover it shortly.

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