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# Agent preset facet: one `@deepseek-ai/dsh-agent-preset` declaration inserted
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# after the web patch.
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#
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# The composition is `standard` with two changes, and this file is the only place
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# either of them is decided:
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#
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# * compaction is configured (see the `compaction` row below) so the pressure
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# trigger is a budget rather than a formality. The shipped ratio is 0.80 of a
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# 1,000,000-token window, i.e. 800k, and on this deployment nothing has ever
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# come within 1.5% of it — compaction had never once run;
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#
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# * `facet-guard` is mounted, which confines the session to its own folder.
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#
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# Everything else is copied verbatim from the shipped `standard` patch, and that
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# is deliberate: a preset declaration replaces the whole plugin list rather than
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# merging into it, so a clone that drifts from the original silently loses
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# whatever it drifted past. When the harness next changes `standard`, re-copy
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# this file and re-apply the two changes — do not hand-patch around it.
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- insert:
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- id: preset-facet
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name: '@deepseek-ai/dsh-agent-preset'
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config:
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id: facet
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name: Facet
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description: One module of the system, not all of it — the session's own folder, plus the files you grant.
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order: 5
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plugins:
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- id: persona
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name: '@deepseek-ai/dsh-persona'
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config:
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suffix: Your working directory is {{cwd}}.
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prefix: You are a coding agent powered by the {{model}} model.
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- id: agent-instructions
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name: '@deepseek-ai/dsh-agent-instructions'
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config:
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maxBytes: 65536
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# The facet itself: a rule in the system prompt, the binding in the
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# runtime context, the `facet` tool, and the pre-execute guard that
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# asks before a file call leaves the session's folder. Configured by
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# the `facet-policy` host row, not here — one place for the mode and
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# the standing grants, whichever preset is selected.
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- id: facet-guard
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name: 'dsh-facet/guard'
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- id: tool-bash
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name: '@deepseek-ai/dsh-tool-bash'
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disabled: !!js process.platform === 'win32'
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- id: tool-pwsh
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name: '@deepseek-ai/dsh-tool-pwsh'
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disabled: !!js process.platform !== 'win32'
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- id: tool-fs
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name: '@deepseek-ai/dsh-tool-fs'
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- id: tool-fs-search
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name: '@deepseek-ai/dsh-tool-fs-search'
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config:
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sampleOverCapGlobResults: false
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- id: tool-jobs
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name: '@deepseek-ai/dsh-tool-jobs'
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- id: skill-filesystem
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name: '@deepseek-ai/dsh-skill-filesystem'
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- id: tool-skill
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name: '@deepseek-ai/dsh-tool-skill'
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- id: command-goal
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name: '@deepseek-ai/dsh-command-goal'
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- id: tool-goal
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name: '@deepseek-ai/dsh-tool-goal'
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- id: planning
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name: cordis:group
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group: true
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isolate:
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planMode: true
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config:
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- id: plan-mode
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name: '@deepseek-ai/dsh-plan-mode'
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config:
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section: |
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You are in plan mode. Stay in plan mode until exit_plan_mode succeeds or the user switches the session mode. Imperative language to implement changes means plan the implementation, not execute it. A user's conversational agreement — including an answer confirming something you asked — approves nothing and does not end plan mode; fold the confirmed decision into the plan and submit it through exit_plan_mode.
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Explore first. Use non-mutating reads, searches, static analysis, and checks to ground the plan in the actual repository. Do not edit or write files, change configuration, run formatters or code generation that rewrites tracked files, commit, or otherwise carry out the plan. Prefer existing functions and patterns over new machinery.
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The tool catalog stays the same across modes for request-cache stability. These plan-mode rules override any later tool description or guidance that suggests using mutation tools; those tools remain listed to keep the tool catalog unchanged. Do not use todo_write to track this planning phase: it tracks implementation after an approved plan, while the plan itself belongs in exit_plan_mode.
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Resolve discoverable facts by inspection. Use ask_user_question only for user-owned choices or material ambiguity that inspection cannot answer. Do not ask the user where code lives or how current behavior works when you can find out.
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Make the plan decision-complete: state the goal and success criteria; group implementation changes by subsystem; identify public API, schema, and data-flow changes; cover edge cases, failure modes, tests, acceptance criteria, and explicit assumptions. Keep it concise enough to review but detailed enough that another engineer can implement it without making design decisions.
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When ready, call exit_plan_mode with the complete plan markdown, starting with a # title. Make exit_plan_mode the only and final tool call in that assistant response: it presents the plan for approval, and implementation begins only in a later step after approval. Do not paste the final plan as a plain reply or ask "should I proceed?" through prose or ask_user_question. If review rejects it, incorporate the feedback and present again. If the review channel is unavailable or aborted, stay in plan mode and ask the user to switch modes manually; do not proceed with implementation.
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- id: compaction
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name: cordis:group
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group: true
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isolate:
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compaction: true
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toolResultPruner: true
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config:
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- id: compaction-basic
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name: '@deepseek-ai/dsh-compaction-basic'
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config:
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# 0.80 of a 1M window is a 800k trigger, and the deepest session
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# ever recorded here peaked at 787,668 pressure tokens: the
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# trigger was never reached, so every token below it was re-read
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# on every subsequent step. 0.35 puts the ceiling at 350k.
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thresholdRatio: 0.35
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# Retention is absolute rather than a ratio, because "16% of a
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# 1M window" (160k) is not a working-set measurement. Where the
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# summarisation call is capped explicitly: the schema default
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# inherits `headroomTokens` (65536), which is a far larger
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# output bill than this needs.
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retainTokens: 80000
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maxTokens: 16384
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- id: command-compact
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name: '@deepseek-ai/dsh-command-compact'
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- id: tool-result-pruner
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name: '@deepseek-ai/dsh-compaction-tool-result-pruner'
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config:
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thresholdChars: 8192
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headChars: 4096
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tailChars: 1024
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- id: delegation
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name: cordis:group
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group: true
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isolate:
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workflowEngine: true
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config:
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- id: tool-subagent-control
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name: '@deepseek-ai/dsh-tool-subagent-control'
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- id: tool-subagent-list-agents
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name: '@deepseek-ai/dsh-tool-subagent-control/list-agents'
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- id: tool-subagent
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name: '@deepseek-ai/dsh-tool-subagent'
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config:
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provider: spawn
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toolName: subagent
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modelSelectionSettings: true
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backgroundMode: continuable
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- id: tool-subagent-fork
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name: '@deepseek-ai/dsh-tool-subagent'
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config:
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provider: fork
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toolName: subagent_fork
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backgroundMode: continuable
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- id: tool-subagent-codex
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name: '@deepseek-ai/dsh-tool-subagent'
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disabled: true
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config:
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provider: codex
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toolName: subagent_codex
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backgroundMode: one-shot
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maxDepth: provider-managed
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- id: tool-subagent-claude-code
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name: '@deepseek-ai/dsh-tool-subagent'
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disabled: true
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config:
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provider: claude-code
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toolName: subagent_claude_code
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backgroundMode: one-shot
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maxDepth: provider-managed
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- id: workflow-ptc
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name: '@deepseek-ai/dsh-workflow-ptc'
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config:
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provider: spawn
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- id: tool-workflow
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name: '@deepseek-ai/dsh-tool-workflow'
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- id: tool-ralph
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name: '@deepseek-ai/dsh-tool-ralph'
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disabled: true
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config:
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subagentProvider: spawn
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maxRounds: 64
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- id: tool-ask-user
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name: '@deepseek-ai/dsh-tool-ask-user'
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- id: tool-todo
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name: '@deepseek-ai/dsh-tool-todo'
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config:
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allowParallelInProgress: true
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- id: tool-web
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name: '@deepseek-ai/dsh-tool-web'
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config:
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fetch: true
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searchTimeoutMs: 60000
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- id: present
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name: '@deepseek-ai/dsh-tool-present'
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- id: tool-plugin-manager
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name: '@deepseek-ai/dsh-plugin-manager/tools'
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disabled: true
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@@ -0,0 +1,168 @@
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# OPTIONAL, and NOT part of this bundle's default patch list.
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#
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# It gives the shipped `standard` preset the same compaction budget the `facet`
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# preset uses, for anyone who wants the cost fix on every session rather than
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# only on scoped ones. Apply it as an overlay:
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#
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# dsh --profile web --patch ./presets/standard-compaction.patch.yml
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#
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# or add its path to `dsh.bundle.patch` in package.json.
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#
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# It is deliberately not applied for you, and the reason is a real hazard rather
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# than caution: a preset declaration replaces the whole plugin list, never merges
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# into it, so this file is a frozen copy of the shipped `standard` composition
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# plus one change. When the harness next updates `standard` — a new tool, a
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# renamed row — this copy will not follow it, and the sessions on this preset
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# will silently lose whatever was added. Use it if you are prepared to re-copy
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# and re-apply when that happens; otherwise take the compaction settings into
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# whichever preset you actually run.
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#
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# The only change from the shipped file is the `compaction-basic` row's config.
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- insert:
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- id: preset-standard
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name: '@deepseek-ai/dsh-agent-preset'
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config:
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id: standard
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order: 1
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plugins:
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- id: persona
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name: '@deepseek-ai/dsh-persona'
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config:
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suffix: Your working directory is {{cwd}}.
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prefix: You are a coding agent powered by the {{model}} model.
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- id: agent-instructions
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name: '@deepseek-ai/dsh-agent-instructions'
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config:
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maxBytes: 65536
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- id: tool-bash
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name: '@deepseek-ai/dsh-tool-bash'
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disabled: !!js process.platform === 'win32'
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- id: tool-pwsh
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name: '@deepseek-ai/dsh-tool-pwsh'
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disabled: !!js process.platform !== 'win32'
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- id: tool-fs
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name: '@deepseek-ai/dsh-tool-fs'
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- id: tool-fs-search
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name: '@deepseek-ai/dsh-tool-fs-search'
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config:
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sampleOverCapGlobResults: false
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- id: tool-jobs
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name: '@deepseek-ai/dsh-tool-jobs'
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- id: skill-filesystem
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name: '@deepseek-ai/dsh-skill-filesystem'
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- id: tool-skill
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name: '@deepseek-ai/dsh-tool-skill'
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- id: command-goal
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name: '@deepseek-ai/dsh-command-goal'
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- id: tool-goal
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name: '@deepseek-ai/dsh-tool-goal'
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- id: planning
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name: cordis:group
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group: true
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isolate:
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planMode: true
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config:
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- id: plan-mode
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name: '@deepseek-ai/dsh-plan-mode'
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config:
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section: |
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You are in plan mode. Stay in plan mode until exit_plan_mode succeeds or the user switches the session mode. Imperative language to implement changes means plan the implementation, not execute it. A user's conversational agreement — including an answer confirming something you asked — approves nothing and does not end plan mode; fold the confirmed decision into the plan and submit it through exit_plan_mode.
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Explore first. Use non-mutating reads, searches, static analysis, and checks to ground the plan in the actual repository. Do not edit or write files, change configuration, run formatters or code generation that rewrites tracked files, commit, or otherwise carry out the plan. Prefer existing functions and patterns over new machinery.
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The tool catalog stays the same across modes for request-cache stability. These plan-mode rules override any later tool description or guidance that suggests using mutation tools; those tools remain listed to keep the tool catalog unchanged. Do not use todo_write to track this planning phase: it tracks implementation after an approved plan, while the plan itself belongs in exit_plan_mode.
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Resolve discoverable facts by inspection. Use ask_user_question only for user-owned choices or material ambiguity that inspection cannot answer. Do not ask the user where code lives or how current behavior works when you can find out.
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Make the plan decision-complete: state the goal and success criteria; group implementation changes by subsystem; identify public API, schema, and data-flow changes; cover edge cases, failure modes, tests, acceptance criteria, and explicit assumptions. Keep it concise enough to review but detailed enough that another engineer can implement it without making design decisions.
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|
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When ready, call exit_plan_mode with the complete plan markdown, starting with a # title. Make exit_plan_mode the only and final tool call in that assistant response: it presents the plan for approval, and implementation begins only in a later step after approval. Do not paste the final plan as a plain reply or ask "should I proceed?" through prose or ask_user_question. If review rejects it, incorporate the feedback and present again. If the review channel is unavailable or aborted, stay in plan mode and ask the user to switch modes manually; do not proceed with implementation.
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- id: compaction
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name: cordis:group
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group: true
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isolate:
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compaction: true
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toolResultPruner: true
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config:
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- id: compaction-basic
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name: '@deepseek-ai/dsh-compaction-basic'
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config:
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# See presets/facet.patch.yml for why these three values.
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thresholdRatio: 0.35
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retainTokens: 80000
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maxTokens: 16384
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- id: command-compact
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name: '@deepseek-ai/dsh-command-compact'
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- id: tool-result-pruner
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name: '@deepseek-ai/dsh-compaction-tool-result-pruner'
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config:
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thresholdChars: 8192
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headChars: 4096
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tailChars: 1024
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- id: delegation
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name: cordis:group
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group: true
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isolate:
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workflowEngine: true
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config:
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- id: tool-subagent-control
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name: '@deepseek-ai/dsh-tool-subagent-control'
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- id: tool-subagent-list-agents
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name: '@deepseek-ai/dsh-tool-subagent-control/list-agents'
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- id: tool-subagent
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name: '@deepseek-ai/dsh-tool-subagent'
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config:
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provider: spawn
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toolName: subagent
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modelSelectionSettings: true
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backgroundMode: continuable
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- id: tool-subagent-fork
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name: '@deepseek-ai/dsh-tool-subagent'
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config:
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provider: fork
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toolName: subagent_fork
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backgroundMode: continuable
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- id: tool-subagent-codex
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name: '@deepseek-ai/dsh-tool-subagent'
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disabled: true
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config:
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provider: codex
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toolName: subagent_codex
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backgroundMode: one-shot
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maxDepth: provider-managed
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- id: tool-subagent-claude-code
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name: '@deepseek-ai/dsh-tool-subagent'
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disabled: true
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config:
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provider: claude-code
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toolName: subagent_claude_code
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backgroundMode: one-shot
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maxDepth: provider-managed
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- id: workflow-ptc
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name: '@deepseek-ai/dsh-workflow-ptc'
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config:
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provider: spawn
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- id: tool-workflow
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name: '@deepseek-ai/dsh-tool-workflow'
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- id: tool-ralph
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name: '@deepseek-ai/dsh-tool-ralph'
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disabled: true
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config:
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subagentProvider: spawn
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maxRounds: 64
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- id: tool-ask-user
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name: '@deepseek-ai/dsh-tool-ask-user'
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- id: tool-todo
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name: '@deepseek-ai/dsh-tool-todo'
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config:
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allowParallelInProgress: true
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- id: tool-web
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name: '@deepseek-ai/dsh-tool-web'
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config:
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fetch: true
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searchTimeoutMs: 60000
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- id: present
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name: '@deepseek-ai/dsh-tool-present'
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- id: tool-plugin-manager
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name: '@deepseek-ai/dsh-plugin-manager/tools'
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||||
disabled: true
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Block a user