Home/Skills/model-hierarchy

Agent communication · OpenClaw, Claude Code, Codex Skill

model-hierarchy adoption decision

Coordinate AI workers, route work to suitable models, or make multi-agent collaboration easier to operate. Cost-optimize AI agent operations by routing tasks to appropriate models based on complexity. Use this skill when: (1) deciding which model to use for a task, (2) spawni...

GitHub repo Adoption path Source evidence Back to skills last scan today

Job to solveagent coordination and model routing

Coordinate AI workers, route work to suitable models, or make multi-agent collaboration easier to operate.

Who should use itPower users running several agents, model tiers, or delegated tasks in parallel.

Use this as a fit check before reading install commands.

Works withOpenClaw / Claude Code / Codex

Platform fit comes after the use case, not before it.

Adoption pathNeeds adoption review

No trusted setup command was extracted yet. Open the source evidence before adopting it.

Trust signalREADME + SKILL.md

1 SKILL.md + README evidence, 339 stars, and 71d ago repo freshness at last scan.

Decision snapshot

GitHub repositoryzscole/model-hierarchy-skill

Primary SKILL.mdSKILL.md

Works withOpenClaw, Claude Code, Codex

TypeSkill

Last pushed71d ago

Stars339

Forks21

Adoption pathNeeds adoption review

Source evidenceusable

Best forAgent communication

Trust check

Last pushed71d agoLast pushed Feb 16, 2026.

Install pathneeds reviewNo trusted install path was extracted at last scan.

Source evidenceusable1 SKILL.md file(s) plus README/source excerpts were evaluated.

GitHub reach339 stars339 stars and 21 forks at last scan.

Shortlist fitsolid fit68/100 from install clarity, source quality, scope fit, and current GitHub evidence.

Compare with these skills

OpenClaw-Medical-Skillsclearer install path · FreedomIntelligence/OpenClaw-Medical-Skillsclear installstronger sourcemore adopted70solid fit clawsecbroader suite if you want a bundled workflow · prompt-security/clawsecsuite optionstronger sourcestronger fit74solid fit chat-history-importstronger source evidence · dashhuang/openclaw-chat-history-importsingle skillstronger sourcemore active68solid fit x-bookmarksstronger source evidence · sharbelxyz/x-bookmarkssingle skillstronger sourcesame platform68solid fit x-tweet-fetchermore recent repo activity · ythx-101/x-tweet-fetchersingle skillmore activesame platform68solid fit

Why we list it

READMEpresentREADME.md is part of the public evidence set.

SKILL.md1 found1 path(s) found by recursive tree scan.

Installneeds review0 source file(s) produced install evidence.

Overview

What job does it solve?Agent communication

Coordinate AI workers, route work to suitable models, or make multi-agent collaboration easier to operate.

Who should use it?Power users running several agents, model tiers, or delegated tasks in parallel.

agent coordination and model routing for OpenClaw users.

Works withOpenClaw / Claude Code / Codex

Check platform compatibility after confirming the use case fits your workflow.

How can I adopt it?Needs adoption review

No trusted setup command was extracted yet. Open the source evidence before adopting it.

Can I trust it?README + SKILL.md

1 SKILL.md + README evidence, 339 stars, and 71d ago repo freshness at last scan.

What to compare?5 related skills

Use the comparison list below to avoid adopting the first matching repo blindly.

Quick read

Cost-optimize AI agent operations by routing tasks to appropriate models based on complexity. Use this skill when: (1) deciding which model to use for a task, (2) spawning sub-agents, (3) considering cost efficiency, (4) the current model feels like overkill

OpenClaw skill for cost-optimized model routing based on task complexity

Why we list it

Public because this is a source-backed skill-like repo with enough current evidence to qualify for the shortlist.
Current GitHub metadata is available for zscole/model-hierarchy-skill.
1 SKILL.md file(s) were found in the recursive tree scan.
README content is available as part of the public evidence set.

Adoption path for model-hierarchy

Needs adoption review: no trusted setup path was extracted yet.

Source evidence

Source excerpts used for this adoption decision. Low-confidence cases link back to GitHub instead of forcing a misleading quote.

README excerpt

README.md

Open full source on GitHub

This source extract is currently low-confidence, so the page links to the original file instead of showing a misleading excerpt.

Open on GitHub

SKILL.md excerpt

SKILL.md

Model Hierarchy

Route tasks to the cheapest model that can handle them. Most agent work is routine.

MODERATE → Use Tier 2

Characteristics:

Multi-step but well-defined
Some synthesis required
Standard patterns apply
Quality matters but isn't critical

Examples:

Code generation (standard patterns)
Summarization and synthesis
Draft writing (emails, docs, messages)
Data analysis and transformation
Multi-file operations
Tool orchestration
Code review (non-security)
Search and research tasks

Behavioral Rules

Spawn sub-agent on cheap model

sessions_spawn:

task: "Fetch and parse these 50 URLs"

model: deepseek


**OpenRouter (Tier 1 with vision or text-only):**

Routine text-only only; for image tasks use Kimi K2.5 or another vision-capable model.

GitHub repository
Primary SKILL.md
1 SKILL.md file(s) found

Show scanned SKILL.md paths (1)

SKILL.md