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model-routing-preset-builder

Use when the operator explicitly wants to customise the native Codex model-capability-router policy.

Skill by TheAngryPit

IndexedMIT
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/theangrypit-model-routing-preset-builder

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Use when the operator explicitly wants to customise the native Codex model-capability-router policy.

Use cases: agent-building

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Secrets
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Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/model-routing-preset-builder

What's inside

Skill name
model-routing-preset-builder
Description
Use when the operator explicitly wants to customise the native Codex model-capability-router policy.
License
MIT
Instructions
41 lines in SKILL.md · view on GitHub

Agent Skills spec issues

  • files: referenced but missing: references/pstack-role-presets.json, references/gpt61-sol-20260929.md, references/gpt6-20260922.md

Files (2)

  • SKILL.md
  • openai.yaml · agents/

SKILL.md (first lines)

# Native Routing Policy Builder

Read the installed `model-capability-router` as the single baseline. It
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 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 recommended palette above 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.

From TheAngryPit/TheAngrySkills, MIT.

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Last commit (this folder)
Oct 7, 2026 (24 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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model-routing-preset-builder skill. Agent Mart. https://agentmart.dev/skills/theangrypit-model-routing-preset-builder (last updated 2026-10-24)