oh-my-dsh-slim

A port of oh-my-opencode-slim's specialist subagent delegation for DeepSeek Harness (DSH): an orchestrator + 5 specialist roles, each with its own persona, model, tool permissions (toolFilter), reasoning effort, and MCP access. Delivered as a shareable DSH agent preset (with bundled configuration plugins), not a standalone application.

Persona text adapted from oh-my-opencode-slim (MIT © 2025 alvinunreal), attribution retained — see LICENSE. 中文版见 README.zh.md.

What it solves

DSH's default orchestration is "one model does everything". This preset splits work into specialist lanes, and the orchestrator plans, dispatches, and integrates:

oracle — architecture decisions, complex debugging, code review. Read-only.
designer — UI/UX design and visual polish. Writable.
fixer — bounded mechanical implementation. Writable.
explorer — fast codebase reconnaissance. Read-only.
librarian — external research via official docs / GitHub (context7 + gh_grep MCP). Read-only.

Delegation is background-first (continuable): the orchestrator dispatches lanes and ends its turn; the runtime wakes it with a settlement notice when a lane finishes, so it can integrate results. The subagent_result tool reads a finished subagent's final message without waking it (zero extra model turns).

Role matrix

Role	Tool	Default model	Effort	Permissions
oracle	subagent_oracle	deepseek-v4-pro	max	read-only
designer	subagent_designer	deepseek-v4-flash	high	writable
fixer	subagent_fixer	deepseek-v4-flash	high	writable
explorer	subagent_explorer	deepseek-v4-flash	low	read-only
librarian	subagent_librarian	deepseek-v4-flash	high	read-only + MCP

All roles inherit global tools; read-only roles deny edit/write; all roles deny control tools (OMO-style deny-only policy)
Roles cannot delegate further (maxDepth: 1); librarian exclusively mounts context7/gh_grep in its own child scope
observer (visual analysis) is reserved but disabled in this release: DSH's send-time gate blocks image attachments based on the main model's vision capability, and delegation prompts are text-only, so pasted images cannot reach a subagent yet. It will be re-enabled when the harness supports forwarding message attachments into subagent contexts.

Install

Requires DSH ≥ 0.1.1-rc.2 and a DeepSeek API key (default models route through deepseek-official).

Option A — plugin marketplace (recommended):

dsh plugin --profile web add oh-my-dsh-slim

Also listed in the DSH plugin marketplace GUI and the awesome-dsh-plugin catalog. The package ships a seeder that materializes the preset into $DSH_HOME/.agent-presets/oh-my-dsh-slim automatically (updates come with plugin upgrades; your previous copy is backed up).

Option B — CLI:

dsh plugin --profile web add oh-my-dsh-slim

ℹ️ This uses the default harness home (~/.dsh). If your deployment uses a custom home (e.g. an isolated desktop-app environment), set DSH_HOME to it first — the marketplace GUI (Option A) resolves this automatically.

Option C — git clone:

git clone https://github.com/ninipa/oh-my-dsh-slim "$DSH_HOME/.agent-presets/oh-my-dsh-slim"

Done — the preset appears immediately. Create a new session and pick 极简角色委派 in Settings → Agent Presets.

Update: cd "$DSH_HOME/.agent-presets/oh-my-dsh-slim" && git pull
Rollback: git checkout <old-tag> or just delete the directory. Presets are locked per session at creation time; running sessions are unaffected.

Configuration

Zero configuration required (sensible defaults ship with the preset). To customize, create $DSH_HOME/oh-my-dsh-slim.json (schema: oh-my-dsh-slim.schema.json):

{
  "preset": "my-dsh-normal",
  "presets": {
    "my-dsh-normal": {
      "fixer": { "model": "kimi-k3", "effort": "high" },
      "librarian": { "mcps": ["context7", "gh_grep"] }
    }
  }
}

Per-role overrides: enabled / model / effort / deny / mcps; temperature / maxTokens are advanced keys (advanced.roles.<roleId>)
Model validation: at delegation time the configured model id is checked against the providers you imported in Settings → Models. An unknown model fails loud on the first delegation, listing every imported model (including the vision-capable subset) — no silent breakage
observer is locked: observer.enabled: true is ignored with a warning (see above)
Changes take effect in new sessions; running sessions are unaffected

Conversational configuration (no JSON editing needed): just say e.g. "change fixer's model to kimi-k3" or "disable the oracle role" — the orchestrator edits the JSON per the schema.

Roadmap

GUI configuration — role toggles, per-role model selection (from your imported providers), and reasoning effort will become editable directly in the DSH GUI settings (host-native plugin config forms), replacing JSON edits

Self-tests & probes (all zero-cost)

# Static validation (structure / keys / persona dead-references / soft-disable assertions)
node scripts/t0-validate.mjs .

# Unit tests (config merge / effort injection / delegation contract / subagent_result)
node scripts/test-config-loader.mjs && node scripts/test-effort-plugin.mjs
node scripts/test-role-subagent.mjs && node scripts/test-subagent-result.mjs

# Two probes to run after every DSH upgrade (probe first, GUI later)
# ① model-modality overview across all providers
# ② preset compatibility: real composition boot + per-role filter validation + sessionQuery reads
#    (replace REPLACE_WITH_REPO_ABS_PATH in the patch files with this repo's absolute path first)
DSH_HOME=<scratch-home> dsh --profile headless --patch scripts/probe-capabilities-patch.headless.yml probe
DSH_HOME=<scratch-home> dsh --profile headless --patch scripts/probe-patch.headless.yml probe

Acceptance checklist

GUI-TEST-TASKS.md provides 7 non-explicit-dispatch scenarios (prompts + expected behavior) for verifying a fresh deployment. T3 uses the baseline project under examples/omo-probe-baseline.

Known limits

Non-vision main models cannot receive pasted images: DSH rc.2 hard-blocks image attachments at send time based on the main model's capability (MODEL_DOES_NOT_SUPPORT_IMAGES). For image analysis, use a vision-capable main model (e.g. deepseek-v4-flash-vision-exp) directly — or wait for upstream attachment forwarding
web_search is billed separately: librarian prefers MCP (free). web_search runs through the host search service, which issues an independent auxiliary model request per query. For open-ended research, give the task a search budget in the prompt

FAQ

Which API key do I need? A DeepSeek API key — the default role models route through deepseek-official. Roles can be pointed at any provider you imported in Settings → Models.

Can I use other models per role? Yes — every role's model and reasoning effort is configurable via the user JSON (or conversational config). Unknown model ids are rejected at delegation time with the full list of imported models.

How do I uninstall? Remove $DSH_HOME/.agent-presets/oh-my-dsh-slim (or disable the preset in Settings → Agent Presets). If you installed the marketplace seeder plugin, uninstalling the plugin does not remove the preset directory.

Image analysis? Use a vision-capable main model (e.g. deepseek-v4-flash-vision-exp) and paste directly. The observer role is reserved until the harness can forward attachments into subagent contexts.

Changelog

See CHANGELOG.md.

Acknowledgments

DeepSeek Harness — host platform

License

MIT

oh-my-dsh-slim (npm-package)

インストール

README