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

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