refactor(paths): collapse harness home resolution into one resolver
Delete @deepseek-ai/dsh-home and make dsh-paths the sole owner of the single-root harness home ($DSH_HOME || ~/.dsh). Migrate tool-bash, skill-local, and agent-spine-demo off dsh-home, and fold telemetry's divergent globalConfigDir onto the shared resolver, dropping its second XDG/APPDATA policy and the deepseek-harness namespace so the anonymous id lives under the harness home. Add dshHomeDisplay() for symbolic user-facing paths, replacing workspace-context's bespoke check.
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@@ -50,7 +50,7 @@ import type { Config } from '@deepseek-ai/dsh-agent-spine-demo'
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// workspaceContext requires { maxBytes } or false; the other owner schemas supply defaults.
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```
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The bundle FORWARDS each field to the child that owns it: `agents` and `maxParallelToolCalls` to `agent-loop` (`agents` defaults to `[]`; the cap defaults there), so each app supplies its own pre-created agents — TUI and headless apps pre-create `main`, while the ACP app creates agents on demand at `session/new`; `llmRetry` to the bounded retry policy; `persona` and `toolOrder` to `dsh-system-prompt`; `tools` to the tool registry for its presentation mode; `skills.registry`, `skills.local`, and `skills.tool` to the skill registry, local provider, and model-facing consumer; the required `workspaceContext` choice to `dsh-workspace-context` (`{ maxBytes }` enables loading and `false` disables it); and `toolBash`/`toolTasks` to the two model-facing tool plugins the bundle owns. A `goals` object opts into the persisted domain, model tools, and same-session driver while forwarding `goals.domain` and `goals.tool` to their owners; omission or `false` leaves the stack absent so headless callers retain one-turn settlement. Set `skills.enabled: false` to omit both the local provider and model-facing skill tool, and set `toolTasks: false` to retain the task service for foreground producers without exposing `task_output` / `task_list` / `task_kill`. It resolves `dshHome` once through [`@deepseek-ai/dsh-home`](../../util/home/README.md) and forwards that absolute value to tool-bash's managed environment and enabled local skill discovery. An absent top-level `dshHome` adopts `skills.local.dshHome`; supplying both with different resolved paths fails loudly. `toolBash.enableRunInBackground` controls only the bash producer; independently loaded producers keep their own config. Workspace instructions register before the skill catalog so their session-prefix message renders first. App packages use `pickSpineConfig()` to copy only these bundle-owned fields.
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The bundle FORWARDS each field to the child that owns it: `agents` and `maxParallelToolCalls` to `agent-loop` (`agents` defaults to `[]`; the cap defaults there), so each app supplies its own pre-created agents — TUI and headless apps pre-create `main`, while the ACP app creates agents on demand at `session/new`; `llmRetry` to the bounded retry policy; `persona` and `toolOrder` to `dsh-system-prompt`; `tools` to the tool registry for its presentation mode; `skills.registry`, `skills.local`, and `skills.tool` to the skill registry, local provider, and model-facing consumer; the required `workspaceContext` choice to `dsh-workspace-context` (`{ maxBytes }` enables loading and `false` disables it); and `toolBash`/`toolTasks` to the two model-facing tool plugins the bundle owns. A `goals` object opts into the persisted domain, model tools, and same-session driver while forwarding `goals.domain` and `goals.tool` to their owners; omission or `false` leaves the stack absent so headless callers retain one-turn settlement. Set `skills.enabled: false` to omit both the local provider and model-facing skill tool, and set `toolTasks: false` to retain the task service for foreground producers without exposing `task_output` / `task_list` / `task_kill`. It resolves `dshHome` once through [`@deepseek-ai/dsh-paths`](../../util/paths/README.md) and forwards that absolute value to tool-bash's managed environment and enabled local skill discovery. An absent top-level `dshHome` adopts `skills.local.dshHome`; supplying both with different resolved paths fails loudly. `toolBash.enableRunInBackground` controls only the bash producer; independently loaded producers keep their own config. Workspace instructions register before the skill catalog so their session-prefix message renders first. App packages use `pickSpineConfig()` to copy only these bundle-owned fields.
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## Why a code bundle, not a shared YAML include
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@@ -28,8 +28,8 @@
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"@deepseek-ai/dsh-goal": "^0.0.1",
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"@deepseek-ai/dsh-goal-session": "^0.0.1",
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"@deepseek-ai/dsh-invariants": "^0.0.1",
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"@deepseek-ai/dsh-home": "^0.0.1",
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"@deepseek-ai/dsh-llm": "^0.0.1",
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"@deepseek-ai/dsh-paths": "^0.0.1",
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"@deepseek-ai/dsh-llm-retry": "^0.0.1",
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"@deepseek-ai/dsh-workspace-context": "^0.0.1",
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"@deepseek-ai/dsh-session": "^0.0.1",
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@@ -52,8 +52,8 @@
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"@deepseek-ai/dsh-goal-session": "workspace:^",
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"@deepseek-ai/dsh-fs-local": "workspace:^",
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"@deepseek-ai/dsh-invariants": "workspace:^",
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"@deepseek-ai/dsh-home": "workspace:^",
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"@deepseek-ai/dsh-llm": "workspace:^",
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"@deepseek-ai/dsh-paths": "workspace:^",
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"@deepseek-ai/dsh-llm-retry": "workspace:^",
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"@deepseek-ai/dsh-workspace-context": "workspace:^",
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"@deepseek-ai/dsh-session": "workspace:^",
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@@ -29,7 +29,7 @@ import * as toolSkill from '@deepseek-ai/dsh-tool-skill'
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import * as toolTasks from '@deepseek-ai/dsh-tool-tasks'
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import AgentLoop, { type Config as AgentLoopConfig } from '@deepseek-ai/dsh-agent-loop'
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import * as llmRetry from '@deepseek-ai/dsh-llm-retry'
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import { resolveDshHome } from '@deepseek-ai/dsh-home'
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import { resolveDshHome } from '@deepseek-ai/dsh-paths'
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export const name = 'agent-spine-demo'
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@@ -63,7 +63,7 @@
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"path": "../../support/invariants"
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},
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{
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"path": "../../util/home"
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"path": "../../util/paths"
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},
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{
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"path": "../../bash/tool-bash"
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