model-hierarchy
>
pinned to #9095f83updated 2 weeks ago
Ask your AI client: “install skills/model-hierarchy”.
Requires the metahub MCP server installed in your client. Set up MCP.
mh install skills/model-hierarchymetahub onboarded this repo on the author's behalf.
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Last commit
2 weeks ago
Latest release
published
About this skill
Pulled from SKILL.md at publish time.
Route tasks to the cheapest model that can handle them. Most agent work is routine.
Evaluation report
WarningsAutomated checks the publisher passed at publish time — structure, docs, safety, and whether the artifact behaves as claimed.9095f83· 2 weeks ago
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Release history
1- releasecurrent9095f83warn2 weeks ago
Contents
Cost-optimize AI agent operations by routing tasks to appropriate models based on complexity.
The Problem
Most AI agents run everything on expensive models. But 80% of agent tasks are routine: file reads, status checks, formatting, simple Q&A. You're paying $15-75/M tokens for work that $0.14/M tokens handles fine.
The Solution
A skill that teaches agents to classify tasks and route them to the cheapest model that can handle them:
| Task Type | Model Tier | Cost | Examples |
|---|---|---|---|
| Routine (80%) | Cheap | $0.14-0.50/M | File ops, status checks, formatting |
| Moderate (15%) | Mid | $1-5/M | Code gen, summaries, drafts |
| Complex (5%) | Premium | $10-75/M | Debugging, architecture, novel problems |
Result: ~10x cost reduction with equivalent quality on the tasks that matter.
Quick Start
OpenClaw
# Copy SKILL.md to your skills directory
cp SKILL.md ~/.openclaw/skills/model-hierarchy/SKILL.md
# Restart gateway to pick up the skill
openclaw gateway restart
Claude Code / Codex
Add to your CLAUDE.md or project instructions:
## Model Routing
Before executing tasks, classify complexity:
- ROUTINE (file ops, lookups, formatting) → Use cheapest model
- MODERATE (code, summaries, analysis) → Use mid-tier model
- COMPLEX (debugging, architecture, failures) → Use premium model
When spawning sub-agents, default to cheap models unless task requires more.
Other Agent Systems
See SKILL.md for the full classification rules and integration examples.
Cost Math
Assuming 100K tokens/day:
| Strategy | Monthly Cost |
|---|---|
| Pure Opus | ~$225 |
| Pure Sonnet | ~$45 |
| Hierarchy (80/15/5) | ~$19 |
Testing
# Run classification tests
python -m pytest tests/ -v
# Test specific scenarios
python tests/test_classification.py
Files
model-hierarchy-skill/
├── SKILL.md # The skill (install this)
├── README.md # You're here
├── tests/
│ ├── test_classification.py
│ └── scenarios.json
└── examples/
├── openclaw.md
└── claude-code.md
License
MIT
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Verification Before Completion
Evidence before assertions, always
Writing Plans
Turn specs into phased implementation plans
Test-Driven Development
Red → green → refactor discipline for any feature or bugfix
mh install skills/model-hierarchy