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Lizhi
作者
mikeclaw007
· GitHub ↗
· v0.1.0
· MIT-0
160
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install lizhi
功能描述
提供荔枝FM公开节目及播客数据摘要、榜单统计和搜索结果，支持关键词检索和节目表现对比分析。
使用说明 (SKILL.md)
荔枝FM
用途与边界
- 面向公开节目/播客页的检索与表现数据摘要
- 不提供下载、接口逆向或突破风控能力
- 仅用于公开页面的轻量分析与提醒
关键入口
- 主页：https://www.lizhi.fm/
- 分类/榜单：站点入口
- 搜索入口：站内搜索
常见任务
- 指定关键词/分类的节目列表摘要（播放量、收藏、评论）
- 播客主页近期节目表现对比
- 榜单条目分布与题材统计
数据字段
- 节目名称、播客名称、时长、发布时间、播放量/收藏/评论、链接
- 播客主页链接、近期节目交互指标摘要
- 榜单名称、采集时间、来源链接
自动化要点
- 动态渲染与人机校验，建议人工打开后触发解析
- 请求频率需控制，不进行批量抓取
- 不进行下载或接口调用
示例流程
- 关键词摘要：输入关键词 → 搜索 → 抽取条目 → 输出表现摘要
- 播客对比：访问主页 → 抽取近期节目 → 输出交互指标
- 榜单统计：访问榜单 → 抽取条目 → 题材分布统计
合规提示
- 遵守平台规则，不进行下载、接口调用或批量采集
- 结果仅用于内部分析与提醒
安全使用建议
This skill is instruction-only and appears coherent with its purpose. Before installing: (1) know it will access external public Lizhi.fm pages when invoked — ensure you're comfortable with the agent loading those URLs; (2) it explicitly avoids credentials and bulk scraping, but monitor usage to avoid accidental high-rate requests or terms-of-service violations; (3) dynamic pages or CAPTCHA challenges may require manual intervention as the SKILL.md suggests; and (4) if you later need automated API access or broader data collection, expect additional permissions/credentials and re-evaluate then.
功能分析
Type: OpenClaw Skill
Name: lizhi
Version: 0.1.0
The skill bundle consists of metadata and instructions (SKILL.md) for an AI agent to perform lightweight analysis of public podcast data on Lizhi FM. It contains no executable code, and the instructions explicitly emphasize compliance with platform rules, prohibiting data scraping, downloading, or bypassing security measures.
能力评估
Purpose & Capability
Name/description (public Lizhi FM summaries, rankings, search) match the SKILL.md instructions. No unrelated env vars, binaries, or installs are requested.
Instruction Scope
Instructions limit work to public pages, list the data fields to extract, advise against downloads, API reverse-engineering, or bulk scraping, and recommend human-assisted handling for dynamic rendering and CAPTCHAs. They do not instruct reading local files or accessing unrelated credentials.
Install Mechanism
No install spec or code is present (instruction-only), so nothing will be written to disk or fetched during install.
Credentials
The skill declares no required environment variables, credentials, or config paths; the requested scope is proportionate to the stated tasks.
Persistence & Privilege
always is false and the skill has no special persistence or system-wide configuration changes; autonomous invocation is the platform default and is not otherwise elevated here.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install lizhi - 安装完成后，直接呼叫该 Skill 的名称或使用
/lizhi触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v0.1.0
lizhi-hot-trend v0.1.0
- Initial release registered skill for 荔枝FM (Lizhi FM) trending podcast and program analysis.
- Supports keyword/category summaries, recent show performance comparisons, and chart/topic distribution stats.
- Only works with publicly accessible pages; does not enable downloads, interface reverse engineering, or bypassing site restrictions.
- Provides quick data summaries—including play counts, favorites, comments, and episode/item info.
- Designed for lightweight, compliant internal use and reminders.
元数据
常见问题
Lizhi 是什么？
提供荔枝FM公开节目及播客数据摘要、榜单统计和搜索结果，支持关键词检索和节目表现对比分析。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 160 次。
如何安装 Lizhi？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install lizhi」即可一键安装，无需额外配置。
Lizhi 是免费的吗？
是的，Lizhi 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Lizhi 支持哪些平台？
Lizhi 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Lizhi？
由 mikeclaw007（@mikeclaw007）开发并维护，当前版本 v0.1.0。
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