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fizzread-skill嘶嘶声技巧

Agent Skill

fizzread-skill 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。

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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:fizzread-skill(嘶嘶声技巧)
来源仓库:https://github.com/yang1997434/fizzread-skill
安装命令:
openclaw skills install fizzread-skill
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 fizzread-skill

简介

通过音频摘要快速获取十万本非小说类书籍内容。

  • 支持按关键词搜索、浏览和收听精选书摘片段。
  • 提供免费演示密钥,无需注册即可试用基础功能。
  • 适用于知识速览与学习资料快速筛选场景。fizzread-skill 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 需注意版权限制,仅用于个人理解辅助而非商业用途。

SKILL.md

name
fizzread
description
Instant access to 100K+ nonfiction book summaries with 1-minute audio previews. Free demo key included — no signup needed. Search, browse, and listen via FizzRead.
homepage
https://github.com/yang1997434/fizzread-skill
emoji
\F4DA
metadata
clawdbot
requires
env
bins

FizzRead — AI Book Summaries & Audio Previews

Instant access to 100K+ nonfiction book summaries with 1-minute audio previews. Free demo key included — start exploring immediately. Get daily recommendations, search by keyword, browse categories, and listen — all inside your conversation.


Setup

Built-in Demo Key: This skill includes a free demo API key so everyone can try it immediately — no signup required.

Demo key: 3272ed72f9d0b120706038f94220770b

API Key Resolution Order

When making API calls, determine the API key using this priority:

  1. Environment variable FIZZREAD_API_KEY — if set, always use it
  2. Demo key (3272ed72f9d0b120706038f94220770b) — use as fallback when no env var is set

First-time Setup Flow

On first use, check if FIZZREAD_API_KEY is set by running:

echo "$FIZZREAD_API_KEY"

If set and non-empty: Use it directly. Run a quick connectivity test with the Daily Pick endpoint and show the result.

If not set (empty): Use the demo key and show today's book. Then append this guidance:

You're using the free demo key. For your own key with higher rate limits: 1. Visit fizzread.ai and sign up 2. Go to Settings > API Keys > Generate 3. Add it to your system environment to persist across sessions: macOS / Linux — add to your ~/.bashrc or ~/.zshrc: ``bash export FIZZREAD_API_KEY="your_key_here" ` Then run source ~/.zshrc (or restart terminal). **Windows** — run in PowerShell: `powershell [System.Environment]::SetEnvironmentVariable("FIZZREAD_API_KEY", "your_key_here", "User") `` Then restart terminal.

When the user provides a key manually

If a user pastes a key during conversation, run a connectivity test:

curl -s -H "Authorization: Bearer {user_provided_key}" "https://skill.fizzread.ai/v1/daily"
  • If the response contains data.title, the test passed. Remember this key for all subsequent API calls in this session. Also guide the user to save it as an environment variable (using the instructions above) so it persists across sessions.
  • On 401: "This API key appears to be invalid. Please double-check and try again."
  • On network failure: "Could not connect to FizzRead API. Please check your network connection and try again."

Important: Once a key is determined (from env var, demo, or user-provided), remember it and substitute it directly into the Authorization: Bearer header of every subsequent curl command. Do not rely on shell environment variables persisting between commands.

Base URL: https://skill.fizzread.ai/v1

All requests must include the header:

Authorization: Bearer <the resolved API key>

Daily Pick

When the user asks for a daily book recommendation (e.g. "recommend a book", "today's book", "daily pick"):

  1. Run:
   curl -s -H "Authorization: Bearer $FIZZREAD_API_KEY" "https://skill.fizzread.ai/v1/daily"
  1. Parse the JSON response. All API responses wrap data in a data field (e.g. {"data": {...}}). Extract fields from data and output using this template:
   📖 Today's Pick

   [{title}]({app_url}) by {author}

   {about}

   ---
   Full 10-min audio free on FizzRead App 👉 {download_url}

   🎧 [1-min Audio Preview (English)]({audio_url})

- If the user's language is not English, translate the about field to the user's language. Keep title and author in the original English. - If audio_url is null, omit the audio line entirely. - Always mark audio as "(English)" since all audio content is in English. - Do NOT output cover_url as a raw URL. The book cover will be shown automatically via Telegram's link preview of the app_url.


Book Search

When the user wants to search for books (e.g. "search for atomic habits", "find books about productivity"):

  1. Extract the search keyword from the user's message.
  1. URL-encode the keyword to prevent shell injection and handle special characters. Replace spaces with %20, and encode any special characters.
  1. Run:
   curl -s -H "Authorization: Bearer $FIZZREAD_API_KEY" "https://skill.fizzread.ai/v1/search?q={encoded_keyword}&limit=5"

If the user explicitly asks for books with audio only, append &audio_only=true.

  1. Parse the JSON response. Extract data.results and data.total. If results is empty, tell the user no books were found and suggest trying different keywords.
  1. Output as a numbered list:
   Found {total} books for "{keyword}":

   1. [{title}]({app_url})  — {author}
      {about, first sentence only}

   2. [{title}]({app_url})  — {author}
      {about, first sentence only}

   ...

   Reply with a number to see the full summary and audio preview.

   ---
   Explore 100K+ book summaries on FizzRead App
   Download: {download_url from first result}

- If the user's language is not English, translate each about excerpt. - When the user replies with a number, use the corresponding slug to call the Book Summary flow below.


Book Summary

When the user asks for a specific book's summary (e.g. by selecting from search results, or naming a book directly):

  1. Determine the book's slug. If you have it from a previous search, use it directly. Otherwise, first search for the book to find the slug.
  1. URL-encode the slug before using it in the URL.
  1. Run:
   curl -s -H "Authorization: Bearer $FIZZREAD_API_KEY" "https://skill.fizzread.ai/v1/book/{slug}"
  1. Parse the JSON response. Extract fields from data and output:
   📖 [{title}]({app_url})
   Author: {author}

   {about}

   ---
   Full version free on FizzRead App 👉 {download_url}

   🎧 [1-min Audio Preview (English)]({audio_url})

- If the user's language is not English, translate the about field. - If audio_url is null, omit the audio line. - Do NOT output cover_url as a raw URL. The cover shows via Telegram link preview of app_url.


Category Recommendations

When the user asks for books by category or topic (e.g. "recommend psychology books", "what productivity books do you have"):

  1. Extract the category/topic from the user's message.
  1. First, fetch available categories:
   curl -s -H "Authorization: Bearer $FIZZREAD_API_KEY" "https://skill.fizzread.ai/v1/categories"
  1. Fuzzy-match the user's requested topic against the returned data[].name list. Pick the closest match. If no reasonable match exists, tell the user the available categories and ask them to pick one.
  1. URL-encode the matched category name.
  1. Fetch recommendations:
   curl -s -H "Authorization: Bearer $FIZZREAD_API_KEY" "https://skill.fizzread.ai/v1/recommend?category={encoded_category}&limit=5"
  1. Output as a numbered list (same format as Book Search results):
   Top books in {category} ({count} books available):

   1. [{title}]({app_url})  — {author}
      {about, first sentence only}

   ...

   Reply with a number to see the full summary and audio preview.

   ---
   Explore 100K+ book summaries on FizzRead App
   Download: {download_url from first result}

- If the user's language is not English, translate each about excerpt.


Output Rules

  1. Language: Detect the user's conversation language. If not English, translate about content to the user's language. Keep book titles, author names, and audio labels in English.
  1. Audio: All audio is in English. Always label audio links with "(English)" so non-English users know what to expect.
  1. No fabrication: Only use data returned by the API. Never invent book titles, summaries, or URLs. If the API returns an error or empty result, say so honestly.
  1. CTA (Call to Action): Every response that includes book data must end with a download link to the FizzRead App. Use the download_url from the API response.
  1. Audio handling: When audio_url is null for a book, simply skip the audio section — do not mention that audio is unavailable.
  1. Cover image: NEVER output cover_url as a raw URL or text. Instead, embed app_url as a hyperlink on the book title: [{title}]({app_url}). Telegram will auto-generate a link preview card with the book cover from the page's og:image metadata. This is the only way to display covers.

Error Handling

When an API call returns an error, respond with a friendly message:

  • 401 Unauthorized: "Your FizzRead API key appears to be invalid. Please check your FIZZREAD_API_KEY and try again. Get a new key at fizzread.ai."
  • 404 Not Found: "That book wasn't found in the FizzRead library. Try searching with different keywords."
  • 429 Too Many Requests: "You've made too many requests. Please wait a moment and try again."
  • 500 / other errors: "FizzRead is temporarily unavailable. Please try again in a few minutes."
  • Network / curl failure: "Could not reach the FizzRead API. Please check your network connection and try again."

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

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。

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可疑

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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。

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