AGENT SKILL

model-routing-preset-builder

Use when the operator explicitly wants to customise the GPT-only or OpenClaw subscription model-capability-router policy.

License 许可
MIT
最近更新
2026-11-14
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01 前言 Front Matter

name
model-routing-preset-builder
description
Use when the operator explicitly wants to customise the GPT-only or OpenClaw subscription model-capability-router policy.

02 资源文件 1

03 SKILL.md 正文

Native Routing Policy Builder

Read the installed model-capability-router as the single baseline. Select its GPT-only or OpenClaw subscription edition before changing model choices. The OpenClaw edition is defined in references/openclaw-subscriptions.md inside that router; use its task table and subscription-route checks instead of imposing the GPT-only palette. Preserve all existing explicit bindings.

The GPT-only edition recommends GPT-6.1 Sol High for coordination, GPT-6 Astra Medium with XHigh reserved for exceptional reasoning, GPT-6.1 Terra for visual and application work using the router's workload-specific efforts (High as the starting point for professional tool work), and GPT-6 Luna High/XHigh/Max. These are policy recommendations; they do not establish or change the actual home configuration. Preserve an explicit native effort selection, including Sol Low; High is the shared recommendation, not a forced configuration change. Do not revive retired schema-3 presets, mandatory coordinator topology or resolver scripts.

For GPT-only pstack role-aware choices, the router's references/pstack-role-presets.json is the only preset mapping. Change that source only when the operator asks for a durable shared-policy change. Keep a selected role-aware preset separate from pstack's global budget options; do not apply one global effort over its per-role recommendations. Equilibrado is the default only for a new setup with no existing role choices.

  1. Read the operator's requested changes and current native model/effort availability for each relevant channel. Preserve explicit selections.
  2. Change only the requested profile choices or task boundaries. Keep task ownership, permissions, proof and compute selection separate.
  3. For this operator, use the selected edition's palette when the exact native channel supports it. Luna Max is available when justified, not an Ultra mode or a new paid route. Terra capability and effort/cost/latency evidence is in the router's references/gpt61-terra-20261028.md; the Sol launch evidence is in references/gpt61-sol-20260929.md; historical GPT-6 evidence remains in references/gpt6-20260922.md. Token prices and benchmark costs do not prove lower cost per completed Codex outcome.
  4. Author changes in the normal TheAngrySkills source repository when requested as a durable shared policy. Do not create a competing Workbench install.
  5. Validate identifiers and effort support against the current channel; check that the policy has no mandatory ladder, task creation or selected-main override, and adds no speculative cache retention, keepalive prompts or polling loops. Report unavailable options rather than inventing support.
  6. Install published changes with npx skills from the normal source and verify canonical paths and lockfile provenance for each authorised host/profile.

Return the chosen profiles, actual source/version, validation evidence and remaining gaps. Do not add topology machinery or modify native permissions.

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