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geml-spec/geml#integrations/dsh-plugin

Block-addressed document editing: an MCP server exposing geml_get / geml_set / geml_check and friends, so an agent reads or rewrites one addressed block of a Markdown or GEML document instead of the whole file. Ships the GEML authoring skill and a code-graph skill that builds and navigates a project call graph as GEML codemaps.

Stars ★ 24 Category Tools & Capabilities Listed 2026-08-17 npm @geml/dsh-plugin

Install

Inside DeepSeek Harness, with dsh-market

dsh plugin --profile web add dshmarket

Or from the command line

dsh plugin --profile web add @geml/dsh-plugin

Installing runs third-party code with your own permissions — it can read your files, use your credentials and reach the network. Review the source first, and pin a commit (github:owner/repo#sha) when you can.

README

English | 中文

This plugin brings Agent-Native document handling to the harness. Multi-turn work drowns in token bloat — whole files read in, whole files written back, content growing verbose and drifting from the truth. GEML exposes a document as addressable blocks an LLM can reason about and edit precisely: one section in, one section back, at a fraction of the tokens, leaving the context window for the actual work. A built-in reference mechanism keeps a single source of truth, so facts stop fragmenting across copies and an agent maintains docs at zero overhead.

The bundle ships three things:

  • The GEML MCP server — one @deepseek-ai/dsh-mcp-client row running npx -y @geml/geml mcp --root ., confined to the session's project directory. The model sees mcp__geml__geml_get, mcp__geml__geml_set, mcp__geml__geml_check and friends, so it edits one block at a time instead of rewriting files.
  • The authoring skill (skills/geml/) — golden rules, validation loop, and a sectioned reference (references/authoring.geml) the agent pulls one topic at a time.
  • The code-graph skill (skills/geml-code-graph/) — build, view, update and navigate a project's call graph: who calls X, what X calls, impact paths, with the graph rendered in the browser.

The bundle carries no code of its own — both plugins it configures ship inside the dsh installation, and the skills are Markdown. Nothing is built at install time, so no allowBuilds approval is involved either way.

Install

dsh plugin --profile <name> add @geml/dsh-plugin

Verify the layer without booting, then boot:

dsh --profile <name> --dump-config   # shows a "# == @geml/dsh-plugin" layer
dsh --profile <name>

dsh plugin --profile <name> remove @geml/dsh-plugin removes both the dependency and the layer.

Configuration

Both rows are ordinary configuration: override them by id in your profile's cordis.patch.yml, restating every key the row needs. Point mcp-geml at a pinned CLI version, for instance:

- id: mcp-geml
  name: '@deepseek-ai/dsh-mcp-client'
  config:
    serverName: geml
    transport: stdio
    command: npx
    args: ['-y', '@geml/geml@1.8.1', 'mcp', '--root', '.']

A global geml on PATH works as well — command: geml, dropping the npx arguments.

The CLI and the same skills for Claude Code instead: npx -y @geml/geml skill install, or the plugin under ../claude-plugin.

Content from the project README on GitHub ↗