Model Brain

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name: model-brain

description: Route each incoming message to the right Bankr/OpenClaw model or to a zero-LLM path based on task type, risk, and cost. Use when you need per-message model selection, cost-aware routing, deterministic skill bypasses, or a model recommendation for aaigotchi workflows.

---

# Model Brain

Use this skill when the goal is to choose the right model for a single message or action.

Core policy

Default routes

- deterministic skills like `pet-me-master`

- shellable tasks with no reasoning need

- casual chat, lightweight rewriting, simple summaries, low-risk classification

- general reasoning, planning, product thinking, routine wallet ops

- coding-heavy patching, repo surgery, implementation details

- long-context synthesis and broad document digestion

- lightweight vision and quick multimodal triage

- explicitly high-stakes wallet actions, security reviews, tricky architecture, final escalation

Routing workflow

1. Check whether the request can be handled by a deterministic skill or script.

2. Classify the task: `chat`, `code`, `wallet`, `vision`, `long-context`, or `deterministic`.

3. Mark whether the request is high-stakes.

4. Route to the cheapest safe model.

5. Return the primary route, fallback route, and a short reason.

Quick start

python3 {baseDir}/scripts/route_message.py --text "pet all my 53 gotchis" --json
python3 {baseDir}/scripts/route_message.py --text "rewrite this x thread shorter" --json
python3 {baseDir}/scripts/route_message.py --text "swap ETH to USDC and send to treasury" --json
bash {baseDir}/scripts/select_model.sh --text "build this feature in the repo" --mode summary

Wrapper entrypoint

Use `scripts/select_model.sh` when you want a simple aaigotchi-friendly wrapper before model selection. It can emit just the route, full JSON, or shell-style env lines.

References