alinaqi/maggy/external-model-delegation

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UserPromptSubmit hook pattern that classifies prompts into six cost tiers and delegates to external model CLIs

Install

npx vskill@latest install alinaqi/maggy/external-model-delegation

SKILL.md

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

TierDelegation commandCost
QWENqwen3 "prompt"$0 (local Ollama)
DEEPSEEK_FLASHdeepseek --flash "prompt"$0.14 / $0.28 per M tokens
DEEPSEEK_PROdeepseek --pro "prompt"$0.44 / $0.87 per M tokens
KIMIkimi --quiet -p "prompt"$0.60 / $2.50 per M tokens
CODEXcodex execvaries
CLAUDEhandle 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
  1. Accept prompt as first argument: qwen3 "what is 2+2"
  2. Support --flash / --pro model flags (deepseek)
  3. Support --quiet mode flag (kimi)
  4. Write response to stdout, errors to stderr
  5. Exit 0 on success, non-zero on error
Writing a new delegation script
bash
#!/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

TierTask types
QWENgrep, find, regex, shell, syntax lookups, log reading, short summaries
DEEPSEEK_FLASHSimple code, boilerplate, CRUD, test writing, small fixes, config
DEEPSEEK_PROMulti-file features, refactors, debugging, medium coding, docs
KIMISingle-file review, medium reasoning, commit messages, diff summaries
CODEXBulk generation, mechanical changes across many files
CLAUDEArchitecture, security, complex debugging, system design, quality-critical

Environment

bash
# 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

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

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Quality evaluation

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Source

Popularity

Repository stars
701
Repository forks
55
7-day trend score
33

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Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

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  • AI Agent
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  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
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  • Mentat
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  • Aider
  • GPT Pilot
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  • bolt.new
  • v0
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  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
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