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Install in OpenClaw
/install ximalaya
Description
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。
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install ximalaya - After installation, invoke the skill by name or use
/ximalaya - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Ximalaya?
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。 It is an AI Agent Skill for Claude Code / OpenClaw, with 185 downloads so far.
How do I install Ximalaya?
Run "/install ximalaya" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Ximalaya free?
Yes, Ximalaya is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Ximalaya support?
Ximalaya is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Ximalaya?
It is built and maintained by mike47512 (@mike47512); the current version is v0.1.0.
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