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🦀 ClawHub

Model Pilot

by @tommot2

Match task complexity to the right model. Quick heuristic check before expensive tasks — recommends cheaper models when quality won't suffer. Fetches live pr...

Versionv2.0.0
Downloads565
TERMINAL
clawhub install model-pilot

📖 About This Skill


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

    | Tier | Tasks | Model | |------|-------|-------| | 🟢 Routine | Formatting, Q&A, reminders, greetings, file ops | Cheapest available | | 🟡 Intermediate | Email drafting, code review, data analysis, translations | Mid-tier | | 🔴 Complex | Architecture decisions, creative writing, debugging complex issues | Best 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 says | Action | |-----------|--------| | "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