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BytesAgain β€Ί Skills β€Ί Model Brain
πŸ¦€ ClawHub

Model Brain

by @aaigotchi

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 s...

Versionv0.1.2
Downloads407
#legal#gaming#productivity
TERMINAL
clawhub install model-brain

πŸ“– About This Skill

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

  • 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.

    • πŸ’‘ Examples

    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