wolfram-alpha

A guide for querying Wolfram|Alpha, a service that computes answers and provides factual information about subjects such as science, mathematics, geography, history, and finance.

In plain words
What is it for?
Use it for real-world data lookups, mathematical calculations, and fact questions about entities and subjects covered by Wolfram|Alpha.
Why use it?
It gives an agent a way to obtain calculations and current factual results instead of relying only on generated guesses.

Skill for Claude CodeCodex

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 skills/wolframresearch/agenttools/wolfram-alpha
Any agent
npx skills add WolframResearch/AgentTools --skill wolfram-alpha
Clone the repo
git clone --depth 1 https://github.com/WolframResearch/AgentTools

Made for: Claude Code, Codex.

Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 794 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 $0.00055 $0.00794
Opus 5 $0.00028 $0.00397
Sonnet 5 $0.00011 $0.00159
Haiku 4.5 $0.00006 $0.00079

Measured 2d ago against content hash e932dba802a3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

wolfram-alpha 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.

AgentSkills/Skills/wolfram-alpha/SKILL.md · 76 lines

How it starts

The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Wolfram|Alpha

Query Wolfram|Alpha for computational answers and retrieve contextual information using semantic search.

Prerequisites

These scripts require wolframscript. If it is not installed or not on your PATH, read references/GetWolframEngine.md (relative to this skill directory) for installation instructions.

Usage

With MCP Server (preferred)

If you have Wolfram|Alpha MCP tools available in your tool list (e.g., mcp__WolframLanguage__WolframAlpha), use those directly. They provide richer integration and better performance than the bundled scripts.

For a richer experience, consider setting up the Wolfram MCP server. See references/SetUpWolframMCPServer.md (relative to this skill directory) for instructions.

With Bundled Scripts

If no MCP tools are available, use the bundled scripts in the scripts/ directory (relative to this skill directory). Run them with:

wolframscript -f scripts/<ScriptName>.wls <arguments>

Pass --usage to any script to see its argument documentation:

wolframscript -f scripts/<ScriptName>.wls --usage

For detailed usage, arguments, and invocation syntax for each script, see references/Scripts.md (relative to this skill directory).

Reminder: These scripts are only relevant when you do not have the equivalent MCP tool available.

Available Tools

Script When to use
WolframAlphaContext Retrieve contextual information about a topic via semantic search
WolframAlpha Query Wolfram|Alpha for computational answers and real-world data

WolframAlphaContext

Always use WolframAlphaContext as a first step before querying WolframAlpha. It uses semantic search to retrieve relevant background information and helps ensure you have up-to-date context. The context argument should be written in natural language (not as a search query) and be as detailed as possible (up to 250 words).

If your MCP server provides a WolframContext tool, you can use that instead of WolframAlphaContext. It's effectively equivalent, except it may include additional context from Wolfram Language documentation.

Read the full file on GitHub · 76 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 76 lines · 55 tokens per session scan A e932dba802a3

Subscribe to this mod's changes

wolfram-alpha is a skill published in the GitHub repository WolframResearch/AgentTools (82 stars, last pushed 7d ago), licensed MIT. It adds 55 tokens to every session and 794 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 2026-08-30.

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