ask

A command for a math research workflow that identifies what the user is asking and routes the request to suitable thinking tools, mathematical information, or design translation. It also selects Chinese or English instructions based on the user’s language.

In plain words
What is it for?
Use it as an entry point for math research, mathematical reasoning, or translating mathematical ideas into designs.
Why use it?
It gives math-related requests a defined route instead of treating every question the same way. It also helps keep the response language aligned with the request.

Command

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add commands/the-thinker0/math-skill/ask
Clone the repo
git clone --depth 1 https://github.com/the-thinker0/math-skill
Per session 59 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 217 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00059 $0.00217
Opus 5 $0.00030 $0.00109
Sonnet 5 $0.00012 $0.00043
Haiku 4.5 $0.00006 $0.00022

Measured 2d ago against content hash d92bea8f5a4f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ask scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

commands/ask.md · 18 lines

What it actually says

语言路由(内联)

判定主语言:看句式、动词、语气词的主框架。AI/数学/工程术语(attention、loss、routing 等)不计入语言判定。代码、路径、公式不计入。中英比例接近时沿用上一轮语言,无上下文默认中文。显式"用英文/用中文"优先。

  • 中文主语言 → 读取 ../SKILL.md(权威入口,可中英作答)
  • 英文主语言 → 读取 ../SKILL.en.md(英文兼容入口)
  • 两者不同时加载

当前问题: $ARGUMENTS

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 18 lines · 59 tokens per session scan A d92bea8f5a4f

Subscribe to this mod's changes

ask is a command published in the GitHub repository the-thinker0/math-skill (10 stars, last pushed 7d ago), licensed MIT. It adds 59 tokens to every session and 217 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.