技能详情（站内镜像，无评论）
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v0.1.2
统计：⭐ 0 · 30 · 0 current installs · 0 all-time installs
⭐ 0
安装量（当前） 0
🛡 VirusTotal：Pending · OpenClaw ：良性
Package：aaigotchi/model-brain
安全扫描（ClawHub）
- VirusTotal：Pending
- OpenClaw ：良性
OpenClaw 评估
Model Brain is an internally consistent, instruction-only model-routing skill that contains local Python/Bash routing logic, requests no credentials, and does not perform network I/O or install external code.
目的
The name/description match the included files: a deterministic, rule-based router implemented in scripts/route_message.py and scripts/select_model.sh. The requested resources (none) and included artifacts are proportionate to a routing skill. The references to 'bankr' model names are consistent with the stated purpose.
说明范围
SKILL.md directs the agent to run the included scripts and to consult local reference docs. The runtime instructions and code operate only on input text and return routing metadata; they do not read external files, environment secrets, or call external endpoints. Note: routing is purely rule-based (regexes and simple heuristics) and may misclassify edge cases (e.g., 'script' appears in multiple pattern sets, the <=40-word length rule forces a …
安装机制
No install spec or external downloads; the skill is instruction-only with bundled scripts. No archives are extracted and no external package managers are invoked.
证书
The skill requires no environment variables, credentials, or config paths. The scripts export only a transient JSON_OUT environment variable at runtime. There are no requests for tokens, keys, or unrelated credentials.
持久
always:false and user-invocable:true (defaults) — the skill does not request persistent presence or modify other skills' configs. It doesn't write persistent files or store credentials.
综合结论
This skill appears to be what it says: a local, deterministic router. Before installing, test it with representative inputs to ensure routing behavior matches your expectations (especially for short messages, 'script' overlaps, and wallet-related keywords that force wallet/escalation). Verify that the Bankr model names used here map to models your agent can call and that downstream model invocations have appropriate access controls — routing s…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Model Brain」。简介：Route each incoming message to the right Bankr/OpenClaw model or to a zero-LLM …。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/aaigotchi/model-brain/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
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
```bash
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.