type: queue-operation

operation: enqueue

content: What model are you using? Respond in exactly 5 words.


type: user

role: user

permissionMode: default

userType: external

entrypoint: sdk-cli

gitBranch: main


content:
- update-config: Use this skill to configure the Claude Code harness via settings.json. Automated behaviors ("from now on when X", "each time X", "whenever X", "before/after X") require hooks configured in settings.json - the harness executes these, not Claude, so memory/preferences cannot fulfill them. Also use for: permissions ("allow X", "add permission", "move permission to"), env vars ("set X=Y"), hook troubleshooting, or any changes to settings.json/settings.local.json files. Examples: "allow npm commands", "add bq permission to global settings", "move permission to user settings", "set DEBUG=true", "when claude stops show X". For simple settings like theme/model, suggest the /config command.
- keybindings-help: Use when the user wants to customize keyboard shortcuts, rebind keys, add chord bindings, or modify ~/.claude/keybindings.json. Examples: "rebind ctrl+s", "add a chord shortcut", "change the submit key", "customize keybindings".
- simplify: Review changed code for reuse, quality, and efficiency, then fix any issues found.
- fewer-permission-prompts: Scan your transcripts for common read-only Bash and MCP tool calls, then add a prioritized allowlist to project .claude/settings.json to reduce permission prompts.
- loop: Run a prompt or slash command on a recurring interval (e.g. /loop 5m /foo). Omit the interval to let the model self-pace. - When the user wants to set up a recurring task, poll for status, or run something repeatedly on an interval (e.g. "check the deploy every 5 minutes", "keep running /babysit-prs"). Do NOT invoke for one-off tasks.
- claude-api: Build, debug, and optimize Claude API / Anthropic SDK apps. Apps built with this skill should include prompt caching. Also handles migrating existing Claude API code between Claude model versions (4.5 → 4.6, 4.6 → 4.7, retired-model replacements).
TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`; user asks for the Claude API, Anthropic SDK, or Managed Agents; user adds/modifies/tunes a Claude feature (caching, thinking, compaction, tool use, batch, files, citations, memory) or model (Opus/Sonnet/Haiku) in a file; questions about prompt caching / cache hit rate in an Anthropic SDK project.
SKIP: file imports `openai`/other-provider SDK, filename like `*-openai.py`/`*-generic.py`, provider-neutral code, general programming/ML.
- init: Initialize a new CLAUDE.md file with codebase documentation
- review: Review a pull request
- security-review: Complete a security review of the pending changes on the current branch

type: attachment


type: message

role: assistant

type: thinking

thinking:
The user is asking what model I'm using. Based on my system prompt, it says "You are powered by the model MiniMax-M2.7." So the answer is MiniMax-M2.7.

They want exactly 5 words. "MiniMax-M2.7" is one word/token. So I need 5 words total.

"I am powered by MiniMax-M2.7" - that's 6 words (I, am, powered, by, MiniMax-M2.7 - that's actually 5 words if MiniMax-M2.7 counts as one word).

Actually: I(1) am(2) powered(3) by(4) MiniMax-M2.7(5) - that's exactly 5 words!

But maybe they just want the model name. Let me think about what they asked: "What model are you using?" - the model name is MiniMax-M2.7. But they asked for exactly 5 words.

I could say "I use MiniMax-M2.7 model" - that's 5 words: I(1) use(2) MiniMax-M2.7(3) model(4). That's only 4 words.

Or "The model is MiniMax-M2.7" - The(1) model(2) is(3) MiniMax-M2.7(4) - that's only 4.

Let me try "I am using MiniMax-M2.7" - I(1) am(2) using(3) MiniMax-M2.7(4) - that's only 4.

Actually "I am powered by MiniMax-M2.7" - I(1) am(2) powered(3) by(4) MiniMax-M2.7(5) - that's exactly 5!

Or simply "MiniMax-M2.7 model is used" - that's 4 words... no, MiniMax-M2.7(1) model(2) is(3) used(4).

I think "I am powered by MiniMax-M2.7" is the best answer - it gives a complete sentence in exactly 5 words and conveys the information clearly.

service_tier: standard

speed: standard

type: assistant


type: text

text: I am powered by MiniMax-M2.7


type: last-prompt

lastPrompt: What model are you using? Respond in exactly 5 words.