DeepSeek Harness plugin

dsh-dolphindb

DolphinDB integration for DeepSeek Harness: the WebSocket executor, the model-facing query/write tools, and the bundled DolphinDB skills as one installable profile bundle

Jump to install

Source facts

Repository
tradercjz/dsh-dolphindb
Latest update
Aug 14, 2026
Category
UI Enhancements
GitHub stars
3
Format
plugin
Catalog evidence
Upstream dsh.bundle evidence
Evidence path
package.json#dsh.bundle
Checked against
0.1.0-rc.8
Upstream check date
2026-08-20

This evidence comes from the upstream catalog. This site has not installed, run, or security-reviewed the plugin.

Install

Start with a prompt that asks an agent to review the GitHub repository and source. Switch to the command if you want to install it yourself.

Copy this prompt into DSH, Codex, or another agent and ask it to review the GitHub repository and source first.

Do not install or run any commands yet. Read this plugin's GitHub repository, README, and relevant source code. Then answer the questions below clearly and directly so I can decide whether it fits my needs:

1. What is this plugin, and what problem does it solve?
2. Who is it for, and what are its typical use cases?
3. How is it used after installation? Include one minimal example.
4. What known limitations or privacy, security, compatibility, or maintenance risks does it have?
5. Give a clear recommendation: recommend, conditionally recommend, or do not recommend, with reasons.

Distinguish statements documented by the repository, inferences from source code, and unknowns. If evidence is insufficient, say so explicitly. Do not guess or simply repeat the README.

GitHub: https://github.com/tradercjz/dsh-dolphindb
Plugin: dsh-dolphindb
Author: tradercjz

Check the source files

Read the README and other files from this plugin directory before installing.

File explorer3 files
README.mdSource · read only

dsh-dolphindb

DolphinDB integration for DeepSeek Harness as an installable profile bundle. One package ships the WebSocket executor, the model-facing query/write tools, and the 23 bundled DolphinDB skills.

What you get

ComponentSurface
dolphindb_queryRead-only DolphinDB scripts/SQL (result tables, vectors, matrices, scalars; optional chart)
dolphindb_executeWrite/mutation scripts, gated behind the approval seam with a code preview
23 DolphinDB skillsBundled SKILL.md trees (syntax, SQL, vectorization, functional programming, data import, factors, ops, Orca DStream, plotting, backtest, FICC pricing, Tushare/CSMAR, …) exposed through the skill tool

Install

dsh plugin --profile <name> add github:tradercjz/dsh-dolphindb

or add @tradercjz/dsh-dolphindb to a profile's dsh.profile.bundles list after @deepseek-ai/dsh-base.

The executor's only required field is passwordRef (default DOLPHINDB_PASSWORD); host/port/username default to 127.0.0.1:8848 / admin. Override for a remote server in the profile's own cordis.patch.yml:

- id: dolphindb
  config:
    host: 183.134.101.139
    port: 8892
    username: admin
    passwordRef: DOLPHINDB_PASSWORD

Set the password in the process environment or the repo .env; never commit it.

Verify the layer

dsh --profile <name> --dump-config

The output shows a # == @tradercjz/dsh-dolphindb layer mounting three rows — dolphindb (executor), tool-dolphindb (tools), dolphin-skills (skills). Starting the profile registers dolphindb_query / dolphindb_execute and exposes the 23 dolphindb-* skills through the skill tool.

Development

The repo type-checks and builds against a sibling deepseek-harness checkout (see tsconfig.json):

pnpm install
pnpm run typecheck   # against ../deepseek-harness
pnpm run build       # tsc -b + tsdown → lib/

dsh plugin add github:… installs source, so pnpm runs prepare (a self-contained tsdown transpile with no harness checkout and no type check). The first install fails until the profile's pnpm-workspace.yaml authorizes the build scripts (the dsh error prints the exact commit-pinned key — prefer that over the loose form below):

allowBuilds:
  "@tradercjz/dsh-dolphindb@https://codeload.github.com/tradercjz/dsh-dolphindb/tar.gz/<commit-sha>": true
  # Native file-watcher pulled transitively by the `dolphindb` client
  # (dolphindb → xshell → sass → @parcel/watcher); set `false` to skip the
  # native build and keep the JS fallback.
  "@parcel/watcher": true

Skills provenance

The assets/skills/ trees are vendored from the official dolphindb/DolphinX_Skill repository. One source SKILL.md (dolphindb-daily-factor) had an unquoted description that breaks YAML parsing; the vendored copy quotes it.

License

MIT