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model-pilot模型飞行员

Agent Skill

model-pilot 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

4,206

周安装

177

GitHub Stars

公开资料未说明

下载量

1,473
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:model-pilot(模型飞行员)
来源仓库:https://github.com/tommot2/model-pilot
安装命令:
openclaw skills install model-pilot
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install model-pilot

简介

智能匹配任务复杂度与最合适的 LLM 型号。

  • 通过启发式检查避免不必要的昂贵调用。
  • 实时拉取最新价格与性能指标辅助决策。
  • 推荐结果基于历史数据可能存在偏差。model-pilot 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 建议人工复核关键任务的选择合理性。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

name
model-pilot
description
Match task complexity to the right model. Quick heuristic check before expensive tasks — recommends cheaper models when quality won't suffer. Fetches live pricing via web_fetch. Use when: (1) starting an expensive task, (2) 'can a cheaper model do this?', (3) 'is this the right model?', (4) comparing model costs. Homepage: https://clawhub.ai/skills/model-pilot

Model Pilot v2.0

Install: clawhub install model-pilot

Stop overpaying for intelligence. Match every task to the cheapest model that delivers the quality you need.

Language

Detect from user's message language. Default: English.

When to Activate

  • User explicitly asks about model choice or cost
  • A task is starting that will be expensive (agent judgment — don't analyze trivial tasks)
  • User says "save tokens", "cheaper model", "right model?"

Do NOT activate for trivial tasks — formatting, greetings, simple lookups.

Quick Complexity Check

Before an expensive task, ask yourself:

1. What is the task? (classify)
2. What model is active?
3. Could a cheaper model handle this equally well?
4. If yes → recommend switch + estimated savings
5. If no → proceed, explain why

Tier Classification

TierTasksModel
🟢 RoutineFormatting, Q&A, reminders, greetings, file opsCheapest available
🟡 IntermediateEmail drafting, code review, data analysis, translationsMid-tier
🔴 ComplexArchitecture decisions, creative writing, debugging complex issuesBest available

Signal: Task needs <1000 output tokens + no creativity = Tier 1.

Live Pricing

Fetch current pricing when user asks about costs:

web_fetch https://z.ai/pricing
web_search "openai gpt-4o pricing per token"

Do NOT hardcode prices — they change frequently. Always fetch live.

Cost Estimation

Quick formula:

Estimated cost = (input_tokens / 1M × input_price) + (output_tokens / 1M × output_price)

Show to user:

Model: GLM-5-Turbo
  Input: ~5K tokens
  Output: ~2K tokens
  Estimated cost: ~$0.002
  Could use: GLM-4 (~$0.001) — saves ~50%

Quick Commands

User saysAction
"right model?"Quick complexity check
"model cost"Cost estimate for current task
"compare models"Live pricing comparison
"cheaper option"Find cheaper model for same task

Guidelines for Agent

  1. Don't waste tokens analyzing cheap tasks — check only for expensive ones
  2. Use live pricing — never hardcode
  3. Be honest about quality — if cheaper means worse, say so
  4. Keep it quick — 5 seconds of thinking max
  5. Match user language

What This Skill Does NOT Do

  • Does NOT switch models automatically — recommends only
  • Does NOT persist anything
  • Does NOT access credentials
  • Does NOT modify any files

More by TommoT2

  • cross-check — Auto-detect and verify assumptions in your responses
  • context-brief — Persistent context survival across sessions
  • setup-doctor — Diagnose and fix OpenClaw setup issues

Install the full suite:

clawhub install model-pilot cross-check context-brief setup-doctor

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

83.6%
按下载量换算1,231

安全审计

VirusTotal

未展示

ClawScan

通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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