Agent skill

Model Routing

by Archive228 in Archive228/loopkit

Split the Plan/Act/Verify loop across three model tiers — frontier planner, cheap executor, frontier judge — via env vars read by run.sh.

MITAuto-check passedAI & LLM Engineering

Install Model Routing

skills CLI
$ npx skills add Archive228/loopkit --skill model-routing -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Archive228/loopkit model-routing --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Archive228/loopkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/model-routing .claude/skills/model-routing && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
model-routing
GitHub stars
756
Token cost
~447 tokens
SKILL.md length
175 words
Files
1
Skills in repo
43
Repo updated
First seen
Licence
MIT

At a glance

Split the Plan/Act/Verify loop across three model tiers — frontier planner, cheap executor, frontier judge — via env vars read by run.sh.

  • Tasks that involve Model routing and gateways
  • SKILL.md covers The three knobs, Recommended shape, Example and The Elvis Executor+Judge finding
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Model Routing is an agent skill from Archive228/loopkit. Split the Plan/Act/Verify loop across three model tiers — frontier planner, cheap executor, frontier judge — via env vars read by run.sh.

Its SKILL.md is about 450 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering, covering Model routing and gateways. The repository describes itself as: 33 battle-tested skills + minimal .claude harness for any coding agent (Claude Code, Cursor, Codex, Gemini CLI). The licence is MIT.

When your agent uses it

  • Tasks that involve Model routing and gateways

Example prompts

  • “/model-routing”

What it can do on your machine

Read from SKILL.md and the folder at commit 5ae033e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Model Routing loads about 447 tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 175 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~38
When it runs · the whole SKILL.md, loaded when a task matches
~447

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Archive228/loopkit at commit 5ae033e, republished under its MIT licence (© Archive228). 175 words, ~447 tokens.

Download SKILL.mdSave it as .claude/skills/model-routing/SKILL.md (or your agent's skills folder).
name
model-routing
description
Split the Plan/Act/Verify loop across three model tiers — frontier planner, cheap executor, frontier judge — via env vars read by run.sh.
when_to_use
when a long unattended loop is being tuned for cost, or when you want a stronger judge than executor.

Model routing

run.sh reads three optional env vars and threads them into each claude invocation as --model. All default to unset, in which case the CLI default model is used (behaviour unchanged from a bare run).

The three knobs

  • CLAUDE_PLANNER_MODEL — reserved for /spec workflows that draft PROMPT.md up front. Not read by the current run.sh loop, but claimed here so future planner passes bind to it.
  • CLAUDE_EXECUTOR_MODEL — used on the "do the next step" call. This is the workhorse; it runs on every iteration. Pick something cheap and fast.
  • CLAUDE_JUDGE_MODEL — used on the /verify call. Runs once per iteration to adversarially check the executor's diff. Pick a frontier model — a weak judge is worse than no judge.
planner  = frontier   (Opus-class, runs once at /spec time)
executor = cheap-fast (Haiku-class, runs every turn)
judge    = frontier   (Opus-class, runs every turn but on a small diff)

Example

bash
export CLAUDE_PLANNER_MODEL="claude-opus-4-7"
export CLAUDE_EXECUTOR_MODEL="claude-haiku-4-7"
export CLAUDE_JUDGE_MODEL="claude-opus-4-7"
./run.sh

The Elvis Executor+Judge finding

A cheap executor paired with a frontier judge outperforms a frontier executor with no judge on long loops. The judge catches the executor's premature-victory claims that a mono-model run rationalises away when it runs out of context. Cost stays low because the judge only sees the diff, not the working history.

© Archive228, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/model-routing of Archive228/loopkit.

Open the folder on GitHubat commit 5ae033e

Compare with similar skills

Model Routing next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Model Routing compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Model Routing this skillArchive228/loopkit756—~447Automated safety check: PassMIT
Shogun Bloom Configyohey-w/multi-agent-shogun1.4k—~3.1kAutomated safety check: PassMIT
Codemie Analyticscodemie-ai/codemie-code294—~7.5kAutomated safety check: PassApache-2.0
Model Routernidhi-singh02/agent-router110—~1.2kAutomated safety check: PassMIT
Codex Model Routing Teamzjp1997720/codex-model-routing-team158—~736Automated safety check: PassMIT
Add Modelget-convex/convex-evals129—~1.5kAutomated safety check: NotesApache-2.0

Similar skills

  • Shogun Bloom Config

    yohey-w/multi-agent-shogun

    Interactive wizard: guided questions with multiple-choice options about subscriptions, then outputs a ready-to-paste capabilitytiers YAML + fixed agent model assignments.

    1.4k GitHub stars~3.1k tokensUpdated 2 mo ago
    AI & LLM EngineeringAuto-check passed
  • Codemie Analytics

    codemie-ai/codemie-code

    CodeMie Analytics expert — use this skill whenever the user asks about CodeMie usage data, AI adoption metrics, user leaderboards, CLI insights, spending, LiteLLM costs, token usage, or wants to…

    294 GitHub stars~7.5k tokensUpdated yesterday
    AI & LLM EngineeringAuto-check passed
  • Model Router

    nidhi-singh02/agent-router

    A skill your agent uses when the user asks to pick a model, subscription, or reasoning effort, or to run router status, usage refresh, or resume a router session.

    110 GitHub stars~1.2k tokensUpdated 11 days ago
    AI & LLM EngineeringAuto-check passed
  • Codex Model Routing Team

    zjp1997720/codex-model-routing-team

    在 Codex App 中为复杂、可并行的知识工作或编程任务自动创建多个可指定模型与推理强度的后台任务,由主 Agent 负责规划、分工、集成和验收。用于多来源调研、多章节内容、复杂 Skill/PPT、跨模块开发、独立验证或 2 个以上互不依赖工作流;也用于用户明确要求模型路由、后台 Worker、Agents Team…

    158 GitHub stars~736 tokensUpdated 2 mo ago
    AI & LLM EngineeringAuto-check passed
  • Add Model

    get-convex/convex-evals

    Add a new model to the convex-evals coding leaderboard, and optionally the decision benchmark, through a PR, then dispatch its baseline runs.

    129 GitHub stars~1.5k tokensUpdated today
    AI & LLM EngineeringAuto-check: notes
  • Jev Route

    cobusgreyling/Jev

    Route with TypeSafe Jev — map Choice plus confidence to act/confirm/human, or pick a coding-agent model tier.

    134 GitHub stars~481 tokensUpdated 18 days ago
    AI & LLM EngineeringAuto-check passed

More from Archive228/loopkit

All 43 skills in this repo
  • Hitl Escalate

    Archive228/loopkit

    Escalate blocked runs to a human via configured channel or fallback to BLOCKED.md and exit the loop.

    756 GitHub stars~1.2k tokensUpdated 2 mo ago
    Auto-check passed
  • Structured Output

    Archive228/loopkit

    Get JSON out of the model reliably. An agent skill from Archive228/loopkit.

    756 GitHub stars~830 tokensUpdated 2 mo ago
    Auto-check passed
  • Using Loopkit

    Archive228/loopkit

    A skill your agent uses when starting any conversation in a loopkit-enabled project - establishes how to find and use loopkit's 49 skills, requiring skill invocation before ANY response including…

    756 GitHub stars~1.4k tokensUpdated 2 mo ago
    Auto-check passed
  • Active Memory Reminder

    Archive228/loopkit

    Before compaction Loopkit extracts decisions into claude-decisions.json (machine-readable).

    756 GitHub stars~1.2k tokensUpdated 2 mo ago
    Auto-check passed
  • Eval Harness

    Archive228/loopkit

    Build a repeatable eval loop that grades agent output with an LLM judge, so prompt/skill changes get scored against a baseline instead of eyeballed.

    756 GitHub stars~876 tokensUpdated 2 mo ago
    Auto-check passed
  • Feature List JSON

    Archive228/loopkit

    Enumerate every end-to-end feature as strict JSON entries with passes:false, editable-passes-only discipline, and priority order.

    756 GitHub stars~1.2k tokensUpdated 2 mo ago
    Auto-check passed

Questions about Model Routing

What does Model Routing do?

Split the Plan/Act/Verify loop across three model tiers — frontier planner, cheap executor, frontier judge — via env vars read by run.sh. Model Routing is an agent skill from Archive228/loopkit.sh.

When should I use Model Routing?

Model Routing fits situations like: tasks that involve Model routing and gateways.

How do I install Model Routing in Claude Code?

Run `npx skills add Archive228/loopkit --skill model-routing -a claude-code`. Or copy the skill folder (skills/model-routing in Archive228/loopkit) into .claude/skills/model-routing in your project. Claude Code loads it when a task matches its description.

How do I install Model Routing in Codex?

Run `npx skills add Archive228/loopkit --skill model-routing -a codex`. Or copy the skill folder (skills/model-routing in Archive228/loopkit) into .agents/skills/model-routing in your project. Codex loads it when a task matches its description.

Can I use Model Routing in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Archive228/loopkit --skill model-routing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/model-routing, .gemini/skills/model-routing, .github/skills/model-routing and .opencode/skills/model-routing in your project.

What does Model Routing need to run?

SKILL.md names no scripts, command-line tools or credentials: Model Routing is instructions for the agent only.

Does Model Routing access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Model Routing safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Model Routing use?

Model Routing is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Model Routing use?

About 447 tokens (SKILL.md is roughly 1.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Model Routing?

Skills that share tags, products or a category with Model Routing: Shogun Bloom Config (yohey-w/multi-agent-shogun, 1.4k stars), Codemie Analytics (codemie-ai/codemie-code, 294 stars), Model Router (nidhi-singh02/agent-router, 110 stars) and Codex Model Routing Team (zjp1997720/codex-model-routing-team, 158 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Model Routing?

Archive228 (a GitHub user) maintains it in Archive228/loopkit, which has 756 GitHub stars. The repository holds 43 skills in this directory. The repository was last updated on July 14, 2026.

Source: Archive228/loopkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.