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在 OpenClaw 中安装
/install ximalaya
功能描述
提供喜马拉雅公开节目和主播页面的播放量、评论等数据摘要与榜单统计，辅助内容分析与提醒。
安全使用建议
This skill appears coherent and low-risk as-written, but consider these practical points before installing:
- Legal/TOS: scraping even public pages can violate a site's terms of service. Confirm this usage is acceptable for your context or use an official API if available.
- Rate limits & blocking: follow the SKILL.md advice to limit request frequency and avoid bulk automated harvesting to reduce risk of being blocked or causing harm.
- Data sensitivity: the skill targets public metrics only; avoid extracting or storing any private or user-identifying data you don't have permission to use.
- Implementation detail: SKILL.md notes dynamic rendering and human verification may be needed — if you later add code (headless browsers, proxies, or credentials), re-evaluate for additional risks.
- Source provenance: the skill has no homepage or code; if you plan to rely on it long-term, ask the publisher for source or implementation details to verify behavior.
功能分析
Type: OpenClaw Skill
Name: ximalaya
Version: 0.1.0
The skill bundle consists of metadata and instructions (SKILL.md) for an AI agent to perform lightweight analysis of public content on the Ximalaya platform. The instructions explicitly define boundaries such as avoiding batch scraping, API reverse engineering, or downloading content, and focus on summarizing public data like play counts and rankings. No malicious code, data exfiltration attempts, or harmful prompt injections were identified.
能力评估
Purpose & Capability
The name/description (summarize public metrics for Ximalaya programs/hosts) matches the SKILL.md: instructions focus on reading public pages, extracting play/like/comment counts, and producing summaries. No unrelated credentials, binaries, or installs are requested.
Instruction Scope
SKILL.md stays within the stated scope: it describes visiting public pages, extracting listed fields, controlling request frequency, avoiding bulk scraping, downloads, or API abuse, and recommends human-in-the-loop for dynamic pages. It does not instruct reading local files, environment secrets, or posting data to unexpected endpoints.
Install Mechanism
No install spec or code files are present (instruction-only). That minimizes on-disk execution risk and is proportional for a scraping/summary helper.
Credentials
The skill requests no environment variables, credentials, or config paths. This is appropriate for a helper that works only with public web pages.
Persistence & Privilege
No elevated persistence requested (always:false). The skill is user-invocable and may be called by the agent per platform defaults; nothing in the metadata asks for permanent or cross-skill privileges.
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 ximalaya - 安装完成后，直接呼叫该 Skill 的名称或使用
/ximalaya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
ximalaya-hot-trend v0.1.0
- Initial release registering the “喜马拉雅” hot trend skill.
- Supports summary and lightweight analysis for public programs, albums, and hosts on ximalaya.com.
- Enables search, leaderboard extraction, and host performance comparison for public pages.
- Does not support downloads, API reverse engineering, or bypassing platform protections.
- Results are for internal analysis and notifications only, with platform compliance emphasized.
元数据
常见问题
Ximalaya 是什么？
提供喜马拉雅公开节目和主播页面的播放量、评论等数据摘要与榜单统计，辅助内容分析与提醒。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 185 次。
如何安装 Ximalaya？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install ximalaya」即可一键安装，无需额外配置。
Ximalaya 是免费的吗？
是的，Ximalaya 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Ximalaya 支持哪些平台？
Ximalaya 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 Ximalaya？
由 mike47512（@mike47512）开发并维护，当前版本 v0.1.0。
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