Save Money 4.2.0

Auto-detect task complexity for Claude models (Haiku + Sonnet). Route simple tasks to Haiku, escalate complex ones to Sonnet. Save 50%+ on API costs. | 適用 Cl...

Security Scan

The skill's instructions, requirements, and behavior align with its stated purpose (routing simple tasks to Haiku and escalating complex ones to Sonnet); nothing requested or installed is disproportionate or unrelated.

Purpose & Capability

The name/description promise (auto-classify and route between Haiku and Sonnet) matches the SKILL.md: it contains explicit classification rules and a single escalation call pattern. No unrelated credentials, binaries, or config paths are requested.

Instruction Scope

Instructions require the agent to classify every incoming task and call sessions_spawn(...) with the full task when escalation triggers fire. This is coherent with the routing purpose, but it does mean the entirety of escalated task text will be sent to the Sonnet model — review whether that content may include sensitive data before allowing automatic escalation.

Install Mechanism

Instruction-only skill with no install spec and no code files. Low install risk because nothing is written to disk and no external packages or downloads are performed.

Credentials

The skill declares no environment variables, credentials, or config paths. The only outward action is an internal sessions_spawn() call specifying a Sonnet model, which aligns with the purpose.

Persistence & Privilege

always is false and the skill does not request persistent system changes or modify other skills. It requests normal autonomous invocation behavior (disable-model-invocation=false), which is expected for a routing skill.

Assessment

This skill is internally consistent with its stated goal of routing tasks between Haiku and Sonnet. Before installing: (1) confirm you are comfortable with the agent automatically sending full task text to the Sonnet model (cost and data exposure), (2) verify your platform's sessions_spawn() behavior and whether Sonnet requests are subject to any additional auditing or retention, and (3) note a small metadata inconsistency — the _meta.json ownerId differs from the registry ownerId — if provenance matters, ask the publisher to clarify. If you handle sensitive inputs, consider disabling autonomous invocation or restricting the skill to non-sensitive contexts and testing with innocuous prompts first.

Save Money

Run on Haiku by default. Only spawn Sonnet when the task actually needs it. Save 50%+ on API costs.

CRITICAL: Classify First, Then Act

Before generating ANY response, you MUST:

1. Check: does this task match ANY escalation trigger below?
2. If YES → call sessions_spawn() IMMEDIATELY. Do NOT attempt to answer yourself.
3. If NO → respond directly on the current model.

When in doubt, escalate. A wrong escalation only costs a few cents. A bad answer on Haiku wastes the user's time.

Rule of Thumb

If a human would need more than 30 seconds of focused thinking, escalate.

如果一個人需要超過 30 秒的專注思考才能完成，就升級模型。

When to Escalate → MUST call sessions_spawn

If the task matches ANY of the following, do NOT answer yourself. Instead, IMMEDIATELY call:

sessions_spawn(
  message: "<the full task description>",
  model: "anthropic/claude-sonnet-4-20250514",
  label: "<short task label>"
)

Escalation triggers

• Analysis & evaluation — compare options, assess trade-offs, review documents
• Planning & strategy — project plans, roadmaps, business models, architecture
• Long-form writing — reports, proposals, articles, presentations, emails > 3 paragraphs
• Code generation — write functions, build features, refactor, debug complex issues
• Multi-step reasoning — anything with "first... then... finally" or numbered steps
• Summarize large content — long documents, full articles, meeting transcripts
• Long translation — paragraphs or full documents (not single sentences)
• Creative writing — copywriting, ad scripts, naming with brand constraints
• Structured output — tables, outlines, formatted documents, comparison charts

By how people actually ask

Language	Escalate — real examples
English	"Can you analyze this for me?", "Write me a report on...", "Help me plan...", "What are the pros and cons?", "Build a script that...", "Compare A vs B", "Step by step, how do I...", "Draft a proposal for..."
繁體中文	"欸幫我看一下這個報告", "幫我想一下怎麼回客戶", "這兩個方案哪個比較好", "寫一封信給老闆", "幫我整理一下這份資料", "我該怎麼處理這個問題", "可以幫我寫一個程式嗎", "幫我規劃一下行程", "有什麼辦法可以改善", "這個東西要怎麼設計比較好"
日本語	"これを分析してもらえますか", "レポートを書いてください", "計画を立ててほしい", "AとBを比較して", "コードを書いてほしい", "この資料をまとめて", "提案書を作って", "どうすればいいか考えて"
한국어	"이거 분석해줘", "보고서 작성해줘", "계획 세워줘", "A랑 B 비교해줘", "코드 짜줘", "이 자료 정리해줘", "제안서 만들어줘", "어떻게 하면 좋을까?"
Deutsch	"Kannst du das analysieren?", "Schreib mir einen Bericht", "Hilf mir das zu planen", "Vergleich A mit B", "Schreib ein Skript für...", "Fass das zusammen", "Wie soll ich das lösen?", "Erstell einen Entwurf"

By complexity signals

• Prompt is longer than 200 characters with specific requirements
• Contains multiple conditions or constraints
• Asks for structured output (tables, outlines, formatted documents)
• Professional context: proposal, presentation, resume, contract

NEVER do this on Haiku

• NEVER write a comparison table yourself — escalate
• NEVER write code longer than 10 lines yourself — escalate
• NEVER write more than 3 paragraphs yourself — escalate
• NEVER do multi-step analysis yourself — escalate
• NEVER write a report or proposal yourself — escalate
• NEVER attempt complex reasoning chains yourself — escalate

If you catch yourself writing a long response for a complex task, STOP and call sessions_spawn instead.

When to Stay on Haiku

• Factual Q&A — "what is X", "who is Y", "when did Z happen"
• Quick lookups — definitions, short translations (single sentences), unit conversions
• Memory & reminders — "remember this", "remind me to..."
• Casual conversation — greetings, small talk, jokes
• Status checks — "what's on my calendar", simple file reads
• One-liner tasks — anything answerable in 1-2 sentences

Language	Stay — real examples
English	"What's the weather?", "Remind me at 3pm", "What does OKR mean?", "Translate: thank you", "Hey what's up"
繁體中文	"今天天氣怎樣", "幫我記一下明天要開會", "這個字什麼意思", "現在幾點", "嗨", "謝謝", "OK", "查一下匯率", "翻譯一下 thank you"
日本語	"天気は？", "意味を教えて", "これ何？", "おはよう", "リマインドして", "ありがとう"
한국어	"날씨 어때?", "뜻이 뭐야?", "이게 뭐야?", "안녕", "알림 설정해줘", "고마워"
Deutsch	"Wie ist das Wetter?", "Was bedeutet das?", "Was ist das?", "Hallo", "Erinner mich um 3", "Danke"

Save even more: keep responses short

When on Haiku, keep replies concise. Fewer output tokens = lower cost.

• Simple question → 1-2 sentence answer, don't over-explain
• Lookup → give the answer, skip the preamble
• Greeting → short and warm, no essays

Save even more: de-escalate

If a conversation was escalated to Sonnet but the follow-up is simple, switch back to Haiku.

• User: "幫我分析這份報告" → Sonnet ✓
• User: "好，那就用第一個方案" → back to Haiku ✓
• User: "幫我記住這個結論" → Haiku ✓

Don't stay on the expensive model just because the conversation started there.

Return the result directly. Do NOT mention the model switch unless the user asks.

Other providers

This skill is written for Claude (Haiku + Sonnet). Swap model names for other providers:

Role	Claude	OpenAI	Google
Cheap (default)	claude-3-5-haiku	gpt-4o-mini	gemini-flash
Strong (escalate)	claude-sonnet-4	gpt-4o	gemini-pro

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Why the description field is so long

The Clawdbot skill system only injects the frontmatter description field into the system prompt — the body of SKILL.md is not automatically included. The model may optionally read the full file, but it is not guaranteed. Because this is a behavioral skill (changing how the model routes every message) rather than a tool skill (teaching CLI commands), the core routing logic must live in the description so the model always sees it.

The body above serves as extended documentation: detailed trigger lists, multilingual examples, and usage tips that the model can reference if it reads the file.

TL;DR: description = what the model always sees. body = reference docs.

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小安 Ann Agent — Taiwan 台灣 Building skills and local MCP services for all AI agents, everywhere. 為所有 AI Agent 打造技能與在地 MCP 服務，不限平台。