Agent Skills › alinaqi/maggy › external-model-delegation

external-model-delegation

GitHub

通过UserPromptSubmit Hook将提示词按成本/性能分为六类，自动委托至外部模型CLI执行。支持本地Ollama及DeepSeek、Kimi等API，实现智能路由与成本控制。

skills/external-model-delegation/SKILL.md alinaqi/maggy

Trigger Scenarios

需要调用外部AI模型处理任务根据任务复杂度选择最经济的模型配置或新增模型代理脚本

Install

npx skills add alinaqi/maggy --skill external-model-delegation -g -y

More Options

Use without installing

npx skills use alinaqi/maggy@external-model-delegation

指定 Agent (Claude Code)

npx skills add alinaqi/maggy --skill external-model-delegation -a claude-code -g -y

安装 repo 全部 skill

npx skills add alinaqi/maggy --all -g -y

预览 repo 内 skill

npx skills add alinaqi/maggy --list

SKILL.md

Frontmatter

{
    "name": "external-model-delegation",
    "effort": "medium",
    "description": "UserPromptSubmit hook pattern that classifies prompts into six cost tiers and delegates to external model CLIs",
    "when-to-use": "When configuring or debugging prompt-based delegation to qwen3, deepseek, kimi, or codex",
    "user-invocable": false
}

External Model Delegation Pattern

A UserPromptSubmit hook classifies every user prompt into one of six cost/performance tiers. The hook injects additionalContext instructing Claude to run a specific delegation script and return the output.

Tier routing table

Tier	Delegation command	Cost
QWEN	`qwen3 "prompt"`	$0 (local Ollama)
DEEPSEEK_FLASH	`deepseek --flash "prompt"`	$0.14 / $0.28 per M tokens
DEEPSEEK_PRO	`deepseek --pro "prompt"`	$0.44 / $0.87 per M tokens
KIMI	`kimi --quiet -p "prompt"`	$0.60 / $2.50 per M tokens
CODEX	`codex exec`	varies
CLAUDE	handle natively	$3-5 / $15-25 per M tokens

Delegation script pattern

Each script is a self-contained executable in ~/bin/ that accepts a prompt and writes the response to stdout:

~/bin/
├── qwen3      # Shell: curl to local Ollama API
├── kimi       # Shell: execs Kimi CLI binary
├── deepseek   # Python: httpx to DeepSeek Anthropic-compat API
└── route-task # Shell + qwen3: classifies prompt into tier

Script contract

Accept prompt as first argument: qwen3 "what is 2+2"
Support --flash / --pro model flags (deepseek)
Support --quiet mode flag (kimi)
Write response to stdout, errors to stderr
Exit 0 on success, non-zero on error

Writing a new delegation script

#!/bin/bash
# Minimal delegator template
PROMPT="$1"
API_KEY="${EXTERNAL_API_KEY:-}"
# Call external API, write result to stdout
curl -s https://api.example.com/chat \
  -H "Authorization: Bearer $API_KEY" \
  -d "$(jq -n --arg p "$PROMPT" '{prompt: $p}')" \
  | jq -r '.response'

Routing hook flow

User types prompt
    ↓
UserPromptSubmit hook fires
    ↓
qwen3 classifies into tier (QWEN|DEEPSEEK_FLASH|DEEPSEEK_PRO|KIMI|CODEX|CLAUDE)
    ↓
Hook injects additionalContext: "Run: <delegation-command>"
    ↓
Claude reads context, spawns delegation script, returns output
    ↓
User sees response from the delegated model

Classification tiers

Tier	Task types
QWEN	grep, find, regex, shell, syntax lookups, log reading, short summaries
DEEPSEEK_FLASH	Simple code, boilerplate, CRUD, test writing, small fixes, config
DEEPSEEK_PRO	Multi-file features, refactors, debugging, medium coding, docs
KIMI	Single-file review, medium reasoning, commit messages, diff summaries
CODEX	Bulk generation, mechanical changes across many files
CLAUDE	Architecture, security, complex debugging, system design, quality-critical

Environment

# Required env vars (set in ~/.zshrc)
export DEEPSEEK_API_KEY="sk-..."      # For deepseek delegator
export OPENAI_API_KEY="sk-..."         # For codex CLI
# Ollama must be running locally for qwen3 classification + delegation