DSH Expert Orchestrator
PM-first planning · merged-roster delegation · gated delivery · experience pooling
A DeepSeek Harness (DSH) agent preset plugin: once installed, DSH gets an "Expert Orchestrator" session mode that never implements changes itself — it triages every request, has a project-management expert plan the work, delegates implementation to the best-fit domain experts, and gates delivery with independent review.
中文文档
How it works
- Per-turn triage + five anchors — every user message re-enters the loop (large task / small implementation / read-only); the five-anchor self-check runs before every action (review | converge | anti-drift | collaborate | resources) to prevent cross-turn drift.
- PM first — complex tasks go to a project-management expert (decomposition, dependencies, acceptance criteria) before any delegation.
- Delegation only — implementation is always delegated (merged expert roster first — bundled core + enabled sources — with the bundled expert-prompt library as fallback); the orchestrator only verifies read-only.
- Taskboard + message bus — two zero-dependency Python tools: a dependency-DAG task scheduler and a mailbox bus so parallel experts hand off full output on disk while replying with short summaries.
- Delivery gate — independent reviewer (≠ implementer, ≤2 rework rounds) then a PM checkpoint before any commit/delivery.
- Experience pool — ≤3 reusable lessons captured per task and injected into future task briefs.
- Native expert tools —
list_experts (browse the merged roster, compact/expanded modes), summon_expert (single white-paper summon: persona injected via sanitizePersona, resolution exact → aliases → unambiguous title, shadowed/disabled rejected, 8K-char task cap), and summon_experts (batch ≤8, concurrency 4, partial-success semantics). Recursion protection: spawned sub-agents get a six-entry toolFilter deny list (no expert-tool re-summoning, no subagent/subagent_fork nesting, no workflow) with the tool schema default depth 3 as a backstop — one level of delegation, no runaway expert trees.
Install
dsh plugin --profile web add github:mario841859784/dsh-expert-orchestrator
or manually copy agent.cordis.yml, preset.yml and skills/ into ~/.dsh/.agent-presets/expert-orchestrator/, then restart DSH and pick the preset. Requires python3; the dsh-agency-agents roster plugin is optional coexistence, not a dependency — this plugin no longer depends on it: the merged-roster protocol works fully without it, and when it is installed its roster is treated as just an additional source. The bundled trim-cli skill's scripts wrapper and bin binary are not part of this package (excluded from the files whitelist); fetch them separately per the trim-cli skill docs.
After install, only the 11 bundled core experts ship in skills/expert-orchestration/experts/. The four upstream expert source packs are not bundled — download and enable them from the plugin's settings page (Expert sources): the host runtime fetches via the GitHub direct or CDN mirror channels and verifies sha256 (pinned archive hashes) before unpacking anything. Install-time security scans (credential-leak + prompt-injection patterns) are tiered by origin: for registry sources (sha256-pinned), a scan hit raises a warning and proceeds only after explicit user confirmation — never auto-rejection; custom/local-path sources outside the registry are hard-rejected on a hit; symlinks are always skipped and logged, never a rejection on their own.
Expert management is per-expert: any single expert inside an installed source can be disabled individually (files stay, re-enable anytime), and the settings page lets you create/edit/soft-delete up to 200 custom experts — custom experts rank just below bundled-core and take precedence over source-pack duplicates when chosen as the dedup representative; built-in and source-pack experts are read-only references (copy to a custom expert to modify); custom prompts are user-written, skip third-party source scanning, and are subject to length limits.
The deployer never deletes anything in the target directory, refreshes protocol files only on version bumps, and treats lessons.md and expert-sources/ (downloaded source packs + merged roster view) as user data (add-only).
Local source self-deploy (optional)
A market/plugin-manager install (dsh plugin --profile web add github:mario841859784/dsh-expert-orchestrator) mounts the deployer automatically via bundle patch — no manual composition entry is needed.
Only if you want to load the plugin from a local source checkout, patch the host layer instead (same mechanism as dsh-onebot): insert the following into ~/.dsh/profiles/<profile>/cordis.patch.yml:
- insert:
- id: expert-orchestrator-deploy
name: '/absolute/path/to/dsh-expert-orchestrator/lib/index.js'
Upgrade semantics: when the plugin VERSION changes, the installed package content overwrites the PROTOCOL files (agent.cordis.yml, preset.yml, skills/expert-orchestration/SKILL.md, skills/expert-orchestration/routing.md, skills/expert-orchestration/tools/taskboard.py, skills/expert-orchestration/tools/bus.py, skills/trim-cli/SKILL.md, skills/trim-cli/manifest.json, skills/trim-cli/entries, skills/trim-cli/reference — 10 items in total), plus skills/expert-orchestration/experts/ which now ships only the 11 bundled core experts (PROTOCOL refresh). USER_DATA (lessons.md, expert-sources/ — downloaded source packs and the merged roster) is only created when missing and never overwritten; on first run after this version, previously adapted expert copies are migrated once into expert-sources/legacy-adapted/ (frozen local source, enabled by default) instead of being deleted. A host-layer local mount is not affected by that overwrite.
Migration note for existing installs: if you previously added an expert-orchestrator-deploy entry manually in agent.cordis.yml, migrate it to the host-layer cordis.patch.yml before upgrading — otherwise a VERSION-change refresh will overwrite that entry with the factory copy, silently breaking the local mount.
Expert source projects
Expert content beyond the 11 bundled core experts comes from four MIT-licensed upstream projects. All four are registered in skills/expert-orchestration/source-registry.json and referenced verbatim — file names and contents unchanged (files are unpacked as-is; attribution lives in NOTICE):
| Project | License | Adoption in this plugin | Pinned files |
|---|
| VoltAgent/awesome-claude-code-subagents | MIT | Classic pack content source — anchors the previously adapted expert copies in the offline classic pack (62 files) | 171 (categories/**/*.md) |
| wshobson/agents | MIT | Classic pack content source — anchors the previously adapted expert copies in the offline classic pack (4 files) | 202 (plugins/*/agents/*.md) |
| msitarzewski/agency-agents | MIT | Standalone source pack — installed whole as an independent source | 274 (*/*.md) |
| jnMetaCode/agency-agents-zh | MIT | Standalone source pack — installed whole as an independent source | 273 (*/*.md) |
Counts are the unpacked file numbers actually selected at each pinned ref after applying the registry include/exclude patterns (verified against the pinned archives' sha256).
The first two are the content sources of the classic pack (the offline fallback release anchoring the 67 previously adapted expert copies); the latter two ship as independent source packs. Downloads go through the GitHub direct or CDN mirror channels with sha256 verification and tiered install-time security scanning (tiering rules see the deployment section above); installed sources appear in the merged expert roster as source-name / original-name, and cross-source duplicate names coexist with explicit source labels. All upstream projects are MIT-licensed; expert texts remain copyrighted by their authors, redistribution here follows MIT with attribution.
Recommended configuration (Chinese-language users): enable awesome-claude-code-subagents + agency-agents-zh as the source set — together with the 11 bundled core experts they cover the common routing table entries with Chinese-native expert texts; add the other sources only when you need them. Decoupling statement: this plugin no longer depends on dsh-agency-agents — the merged expert roster (bundled core + enabled sources) is the primary supply for expert selection; the protocol is fully usable with dsh-agency-agents uninstalled, and when it is installed its roster counts as an additional source the protocol does not require.
Credits
MIT © mario841859784
