refactor: split skill providers
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@@ -1,6 +1,6 @@
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# @deepseek-ai/dsh-agent-core
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The **providerless, executor-less, UI-less agent spine** as ONE Cordis bundle plugin. It loads the fixed set of services every harness agent needs and forwards the loop's `agents` list as its own config — so an app package composes a working agent by adding only a front door and the swappable backends.
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The **default executor-less, UI-less agent spine** as ONE Cordis bundle plugin. It loads the fixed set of services every harness agent needs, including the local skill provider, and forwards the loop's `agents` list as its own config — so an app package composes a working agent by adding only a front door and the swappable backends.
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This is the package to read to see **the whole plugin tree at once** — the teaching role the inlined `echo-agent` `cordis.yml` used to play before the spine moved behind this bundle.
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@@ -14,9 +14,12 @@ This is the package to read to see **the whole plugin tree at once** — the tea
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@deepseek-ai/dsh-session event-sourced session log + store
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@deepseek-ai/dsh-system-prompt prompt-section + tool-schema assembly
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@deepseek-ai/dsh-tools tool registry + tools/pre-execute/post-execute
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@deepseek-ai/dsh-skill skill provider registry + prompt listing
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@deepseek-ai/dsh-skill-local local filesystem skill provider
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@deepseek-ai/dsh-agent agent registry + agent/* event vocabulary
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@deepseek-ai/dsh-invariants dev-mode event-contract assertions
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@deepseek-ai/dsh-tool-bash the model-facing bash/bash_output/bash_kill schemas
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@deepseek-ai/dsh-tool-skill the model-facing skill loader schema
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@deepseek-ai/dsh-agent-loop THE concrete loop (gets the forwarded `agents`)
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(dsh-system-prompt gets the forwarded `persona`)
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```
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@@ -27,6 +30,7 @@ The spine is everything COMMON to every front door. The swappable and front-door
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- **the LLM adapter** — the bundle ships the abstract `llm` service; the leaf registers a concrete adapter on `ctx.llm` (`llm-deepseek`, `llm-pi-ai`, `llm-replay`).
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- **the bash executor** — the bundle ships `tool-bash` (the consumer schema); the leaf provides `ctx.bash` (`bash-local` or a sandboxed impl).
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- **non-local skill providers** — the bundle ships the skill registry, the local filesystem provider, and the `skill` tool; deployments can add other providers such as embedded or remote catalogs as siblings.
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- **presentation + per-app infra** — the stdio UI / ACP bridge, a console logger, `hmr`. These form the coupled "front-door cluster" that the app packages ([`dsh-stdio-agent`](../../ui/stdio-agent/README.md), [`dsh-acp-agent`](../../ui/acp-agent/README.md)) bake in. `timer` is in the spine (common to both, stdout-silent); a console logger is NOT (it writes to stdout, which the ACP bridge reserves for JSON-RPC).
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This is the [interface/implementation/consumer seam](../../../docs/rfc/implemented/architecture/2026-06-13-capability-seams.md) raised to the composition level: the bundle owns the shared spine, the leaf owns the backends, the app package owns the front door.
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@@ -35,11 +39,12 @@ This is the [interface/implementation/consumer seam](../../../docs/rfc/implement
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```ts
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import type { Config } from '@deepseek-ai/dsh-agent-core'
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// { agents?, persona? } — the schema is z.intersect([AgentLoop.Config, SystemPrompt.Config]),
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// so validation and defaulting can never drift from the owners'.
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// { agents?, persona?, skills? } — the schema is z.intersect([AgentLoop.Config,
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// SystemPrompt.Config, { skills }]), so validation and defaulting can never
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// drift from the owners'.
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```
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The bundle FORWARDS each field to the child that owns it: `agents` to `agent-loop` (default `[]`), so each app supplies its own pre-created agents — a stdio app pre-creates a `main`; the ACP app pre-creates none (it creates agents on demand at `session/new`) — and `persona` to `dsh-system-prompt` (default `''`), the deployment's persona section. Forwarding is exactly why the owners can live in the shared spine even though the apps disagree on what to configure.
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The bundle FORWARDS each field to the child that owns it: `agents` to `agent-loop` (default `[]`), so each app supplies its own pre-created agents — a stdio app pre-creates a `main`; the ACP app pre-creates none (it creates agents on demand at `session/new`) — `persona` to `dsh-system-prompt` (default `''`), and `skills.registry` / `skills.local` to the skill registry and local provider. Forwarding is exactly why the owners can live in the shared spine even though the apps disagree on what to configure.
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## Why a code bundle, not a shared YAML include
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@@ -1,6 +1,6 @@
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{
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"name": "@deepseek-ai/dsh-agent-core",
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"description": "The providerless/executor-less/UI-less agent spine as one Cordis bundle plugin (timer + llm + sessions + system-prompt + tools + agents + invariants + tool-bash + agent-loop)",
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"description": "The default executor-less/UI-less agent spine as one Cordis bundle plugin (timer + llm + sessions + system-prompt + tools + skills + agents + invariants + tool-bash + tool-skill + agent-loop)",
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"version": "0.0.1",
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"private": true,
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"type": "module",
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@@ -29,6 +29,7 @@
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"@deepseek-ai/dsh-llm": "^0.0.1",
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"@deepseek-ai/dsh-session": "^0.0.1",
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"@deepseek-ai/dsh-skill": "^0.0.1",
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"@deepseek-ai/dsh-skill-local": "^0.0.1",
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"@deepseek-ai/dsh-system-prompt": "^0.0.1",
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"@deepseek-ai/dsh-tool-bash": "^0.0.1",
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"@deepseek-ai/dsh-tool-skill": "^0.0.1",
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@@ -43,6 +44,7 @@
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"@deepseek-ai/dsh-llm": "workspace:^",
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"@deepseek-ai/dsh-session": "workspace:^",
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"@deepseek-ai/dsh-skill": "workspace:^",
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"@deepseek-ai/dsh-skill-local": "workspace:^",
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"@deepseek-ai/dsh-system-prompt": "workspace:^",
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"@deepseek-ai/dsh-tool-bash": "workspace:^",
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"@deepseek-ai/dsh-tool-skill": "workspace:^",
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@@ -1,10 +1,10 @@
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/**
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* The providerless, executor-less, UI-less agent spine as ONE bundle plugin.
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* The default executor-less, UI-less agent spine as ONE bundle plugin.
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*
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* Loads the fixed set of services every harness agent needs — `timer`, the LLM
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* service, the session store, system-prompt assembly, the tool registry, the
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* skill registry, the agent registry, the dev-mode invariants, the model-facing
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* `bash` and `skill` tool schemas, and the concrete `agent-loop` — and forwards the loop's `agents`
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* skill registry plus local skill provider, the agent registry, the dev-mode
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* invariants, the model-facing `bash` and `skill` tool schemas, and the concrete `agent-loop` — and forwards the loop's `agents`
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* list as its OWN config (default `[]`), so each app supplies its own
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* pre-created agents.
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*
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@@ -19,6 +19,9 @@
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* (a console logger, `hmr`) — these are the coupled "front-door cluster" the
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* app packages ({@link @deepseek-ai/dsh-stdio-agent},
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* {@link @deepseek-ai/dsh-acp-agent}) bake in, NOT the shared spine.
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* - additional SKILL PROVIDERS; the bundle ships the local filesystem provider
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* because local skills are default agent behavior, while embedded or remote
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* providers remain deployment choices.
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*
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* This is the interface/implementation/consumer seam at the composition level:
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* the bundle owns the shared spine, the leaf owns the backends, the app package
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@@ -49,7 +52,8 @@ import LlmService from '@deepseek-ai/dsh-llm'
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import SessionStore from '@deepseek-ai/dsh-session'
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import SystemPrompt, { type Config as SystemPromptConfig } from '@deepseek-ai/dsh-system-prompt'
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import ToolRegistry from '@deepseek-ai/dsh-tools'
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import SkillService, { type Config as SkillConfig } from '@deepseek-ai/dsh-skill'
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import SkillService, { type Config as SkillRegistryConfig } from '@deepseek-ai/dsh-skill'
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import * as SkillLocal from '@deepseek-ai/dsh-skill-local'
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import AgentRegistry from '@deepseek-ai/dsh-agent'
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import * as invariants from '@deepseek-ai/dsh-invariants'
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import * as toolBash from '@deepseek-ai/dsh-tool-bash'
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@@ -58,12 +62,20 @@ import AgentLoop, { type Config as AgentLoopConfig } from '@deepseek-ai/dsh-agen
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export const name = 'agent-core'
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/** Skill bundle config forwarded to the registry and the local provider. */
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export interface SkillConfig {
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/** Registry-level prompt/cache settings. */
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registry?: SkillRegistryConfig
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/** Local filesystem skill provider settings. */
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local?: SkillLocal.Config
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}
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/**
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* Bundle config: each field forwarded verbatim to the child that owns it —
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* `agents` to the agent loop (an app that pre-creates no agents, like the ACP
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* bridge, simply omits it), `persona` to the system-prompt plugin (the
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* deployment's persona section), and `skills` to the skill service. All three
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* are optional INPUT here because each owner's schema supplies the default
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* deployment's persona section), and `skills` to the skill registry/local
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* provider. All three are optional INPUT here because each owner's schema supplies the default
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* (`[]` / `''` / the DSH skill roots); the schema is the INTERSECTION of the
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* owners' own schemas, so validation and defaulting can never drift from them.
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*/
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@@ -72,12 +84,15 @@ export interface Config {
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agents?: AgentLoopConfig['agents']
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/** The deployment persona (see dsh-system-prompt's `Config`). */
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persona?: SystemPromptConfig['persona']
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/** Skill discovery roots, system-skill installation, and prompt/cache bounds. */
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/** Skill registry and local provider config. */
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skills?: SkillConfig
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}
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/** The skill config schema exported for app packages that forward `skills`. */
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export const SkillConfigSchema = SkillService.Config
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export const SkillConfigSchema: z<SkillConfig> = z.object({
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registry: SkillService.Config,
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local: SkillLocal.Config,
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})
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/** Intersect the owners' schemas so validation + defaulting stay identical. */
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export const Config = z.intersect([
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@@ -105,12 +120,11 @@ export function apply(ctx: Context, config: Config): void {
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// introduce different ones.
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ctx.plugin(SystemPrompt, { persona: config.persona ?? '' })
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ctx.plugin(ToolRegistry)
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ctx.plugin(SkillService, config.skills ?? {})
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ctx.plugin(SkillService, config.skills?.registry ?? {})
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ctx.plugin(SkillLocal, config.skills?.local ?? {})
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ctx.plugin(AgentRegistry)
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ctx.plugin(invariants)
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ctx.plugin(toolBash)
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ctx.plugin(toolSkill)
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ctx.plugin(AgentLoop, { agents: config.agents ?? [] })
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}
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export type { SkillConfig }
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@@ -1,5 +1,5 @@
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import { describe, expect, it } from 'vitest'
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import { mkdtemp } from 'node:fs/promises'
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import { mkdir, mkdtemp, writeFile } from 'node:fs/promises'
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import { join } from 'node:path'
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import { tmpdir } from 'node:os'
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import { Context } from 'cordis'
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@@ -9,7 +9,7 @@ import { AgentId } from '@deepseek-ai/dsh-agent'
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/**
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* Unit coverage for the @deepseek-ai/dsh-agent-core bundle: mounting it brings
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* up the whole providerless spine in one `ctx.plugin`, and the forwarded
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* up the whole default spine in one `ctx.plugin`, and the forwarded
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* `agents` config reaches the loop (default `[]`, or a pre-created agent).
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*
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* The bundle is exercised through `ctx.plugin(agentCore, …)` — the NAMESPACE
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@@ -65,7 +65,7 @@ async function withIsolatedSkillHomes<T>(run: () => Promise<T>): Promise<T> {
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}
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describe('dsh-agent-core bundle', () => {
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it('brings up the full providerless spine', async () => {
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it('brings up the full default spine', async () => {
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const ctx = await mount()
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// One service from each layer of the spine proves the children loaded.
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expect(ctx.get('timer')).toBeDefined()
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@@ -79,15 +79,12 @@ describe('dsh-agent-core bundle', () => {
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await ctx.fiber.dispose()
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})
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it('includes the default skill system and skill tool', async () => {
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it('includes the skill registry, local provider, and skill tool without builtin skills', async () => {
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const ctx = await mount()
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expect(ctx.skills).toBeDefined()
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expect(ctx.tools.schemas().map(tool => tool.name)).toContain('skill')
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expect((await ctx.skills.list()).map(skill => skill.name)).toEqual(expect.arrayContaining([
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'dsh-plugin-creator',
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'dsh-skill-creator',
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]))
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expect(await ctx.skills.list()).toEqual([])
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await ctx.fiber.dispose()
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})
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@@ -122,18 +119,25 @@ describe('dsh-agent-core bundle', () => {
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await ctx.fiber.dispose()
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})
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it('forwards skill config to the skill service', async () => {
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it('forwards skill config to the registry and local provider', async () => {
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const home = await mkdtemp(join(tmpdir(), 'dsh-agent-core-skill-home-'))
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const agentsHome = await mkdtemp(join(tmpdir(), 'dsh-agent-core-skill-agents-'))
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const custom = await mkdtemp(join(tmpdir(), 'dsh-agent-core-skill-custom-'))
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await mkdir(custom, { recursive: true })
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await writeFile(join(custom, 'custom-skill.md'), '---\nname: custom-skill\ndescription: Custom skill\n---\n\nCustom body.\n')
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const ctx = await mount({
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agents: [],
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skills: {
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dshHome: join(home, '.dsh'),
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agentsHome: join(agentsHome, '.agents'),
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installSystemSkills: false,
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registry: { promptFieldMaxLength: 6 },
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local: {
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dshHome: join(home, '.dsh'),
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agentsHome: join(agentsHome, '.agents'),
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customSkillDirs: [custom],
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},
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},
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})
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expect(await ctx.skills.list()).toEqual([])
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expect((await ctx.skills.list()).map(skill => skill.name)).toEqual(['custom-skill'])
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expect(await ctx.skills.renderModelListing()).toContain('description: Cus...')
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await ctx.fiber.dispose()
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})
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@@ -143,10 +147,7 @@ describe('dsh-agent-core bundle', () => {
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agentCore.apply(ctx, { agents: [] })
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await new Promise(resolve => setTimeout(resolve, 50))
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expect(ctx.skills).toBeDefined()
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expect((await ctx.skills.list()).map(skill => skill.name)).toEqual(expect.arrayContaining([
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'dsh-plugin-creator',
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'dsh-skill-creator',
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]))
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expect(await ctx.skills.list()).toEqual([])
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await ctx.fiber.dispose()
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})
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})
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@@ -35,6 +35,9 @@
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{
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"path": "../../core/skill"
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},
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{
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"path": "../../core/skill-local"
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},
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{
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"path": "../../core/tool-skill"
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},
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