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claude-codeopenclawautomation

Skills model-brain

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.

install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/aaigotchi/model-brain" ~/.claude/skills/openclaw-skills-model-brain && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/aaigotchi/model-brain" ~/.openclaw/skills/openclaw-skills-model-brain && rm -rf "$T"
manifest: skills/aaigotchi/model-brain/SKILL.md
tags
#model-selection#routing#cost-optimization#llm-management#workflow-automation#risk-assessment
source content

Model Brain

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

Core policy

  • Prefer 
    zero-llm
    when a deterministic skill or script can do the job.
  • Use the cheapest adequate model for low-risk work.
  • Use 
    bankr/claude-sonnet-4.5
    for routine wallet and treasury operations that are important but still normal.
  • Escalate to 
    bankr/claude-opus-4.6
    only for explicitly high-stakes, security-sensitive, or ambiguous wallet flows.
  • Use 
    bankr/gpt-5.2-codex
    for coding-heavy implementation work.
  • Keep routing deterministic and rule-based before adding any LLM-on-LLM behavior.
  • Treat the output as a routing recommendation, not as transaction authority.

Default routes

  • zero-llm
    • deterministic skills like 
      pet-me-master
    • shellable tasks with no reasoning need
  • bankr/minimax-m2.5
    • casual chat, lightweight rewriting, simple summaries, low-risk classification
  • bankr/claude-sonnet-4.5
    • general reasoning, planning, product thinking, routine wallet ops
  • bankr/gpt-5.2-codex
    • coding-heavy patching, repo surgery, implementation details
  • bankr/gemini-3-pro
    • long-context synthesis and broad document digestion
  • bankr/gemini-3-flash
    • lightweight vision and quick multimodal triage
  • bankr/claude-opus-4.6
    • 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

  • Read 
    references/routing-table.md
    for the routing rules and escalation thresholds.
  • Read 
    references/bankr-models.md
    for the current Bankr model inventory and aaigotchi default.