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wolfram-alpha-llmwolfram alpha LLM 搜索

Agent Skill

wolfram-alpha-llm 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

7,338

周安装

294

GitHub Stars

公开资料未说明

下载量

2,376
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:wolfram-alpha-llm(wolfram alpha LLM 搜索)
来源仓库:https://github.com/firefrog-pepe/wolfram-alpha-llm
安装命令:
openclaw skills install wolfram-alpha-llm
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install wolfram-alpha-llm

简介

wolfram-alpha-llm 通过 HTTP 接口委托精确计算与事实查找给 Wolfram|Alpha。

  • 适用于减少大模型幻觉、增强数值推理与科学问答可靠性。
  • 支持形式化查询与符号运算,适用于工程与科研辅助场景。
  • 安装命令为 openclaw skills install wolfram-alpha-llm,需配置服务端点。
  • 使用前应测试查询延迟与成功率,确保不影响整体响应速度。

SKILL.md

name
wolfram-alpha-llm
description
Delegate precise, formalizable computations and factual lookups to Wolfram|Alpha via its LLM API (HTTP) to get verified results and reduce arithmetic/modeling errors. Use for numeric calculations, unit conversions, symbolic algebra/calculus, equation solving, statistics/probability, date/time math, finance/math with currency, and structured data queries (e.g., population, chemistry/physics constants, astronomy facts). Use when you want short, LLM-friendly text output (optionally within a character budget), need to resolve ambiguous interpretations via assumptions, or want location/units/language-specific results.
metadata
openclaw
emoji
📐
requires
bins
env

Wolfram|Alpha (LLM API) skill

Use the bundled wrapper script to call Wolfram|Alpha's LLM API and return concise, model-ingestible results.

Preconditions

  • Environment variable WOLFRAM_APP_ID must be set (your Wolfram|Alpha AppID). If it is not set, ask your human to set it (do not guess or hardcode keys).

Quick start

Run:

# default: cache ON (7d), auth via bearer header (keeps AppID out of URL)
python3 skills/wolfram-alpha-llm/scripts/wa_llm.py \
  --input "solve x^2 + 3x + 2 = 0"

What to send as --input

  • Prefer short English keyword-style queries when possible.
  • If the user asked in another language, translate to English for the API call, then answer in the user’s original language.
  • When you need an exact computation, be explicit (e.g., integrate sin(x)^2 from 0 to pi).

Core parameters (use these most)

  • --input (required): the query.
  • --maxchars (optional, default 2500): cap response length.
  • --units (optional): set units system, if needed for conversions/physics (metric is often a good default when unspecified).
  • --assumption (optional, repeatable): disambiguate when WA returns irrelevant interpretation or offers assumptions.

High-value optional parameters (use when relevant)

  • Localization / context:

- --countrycode, --languagecode - --timezone - One of: --ip | --latlong | --location (pick exactly one)

  • Finance:

- --currency (e.g., USD, EUR)

  • Performance / robustness:

- --scantimeout, --parsetimeout, --formattimeout, --totaltimeout

Output handling guidance

  • Treat output as *computed evidence*: quote the key result, then add minimal interpretation.
  • If the result is too long/noisy, rerun with a smaller --maxchars.

- Heuristic: for simple conversions / arithmetic / single-value answers, try --maxchars 800. - Keep default --maxchars 2500 for most multi-line or explanation-heavy results.

  • If the interpretation is wrong:

1) retry with --assumption ... (use WA-provided suggestions when available), 2) only then rephrase/simplify --input.

Wrapper script

  • Script: skills/wolfram-alpha-llm/scripts/wa_llm.py
  • Auth:

- default --auth bearer: sends Authorization: Bearer <AppID> header (keeps AppID out of the URL) - --auth query: sends appid as URL parameter

  • Cache:

- default --cache on with --cache-ttl 604800 (7d) - stores best-effort results in: ~/.cache/openclaw-wolfram-alpha/

  • Returns:

- stdout: API text body - stderr: errors, HTTP status context

For parameter details and error behaviors, see:

  • skills/wolfram-alpha-llm/references/llm-api.md
  • skills/wolfram-alpha-llm/references/full-api-params.md

适合场景

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能力概览

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能力 2

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能力 3

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能力 4

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能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

82.65%
按下载量换算1,964

安全审计

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权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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