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podcast-intel播客英特尔

Agent Skill

podcast-intel 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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

7,526

周安装

320

GitHub Stars

公开资料未说明

下载量

2,637
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:podcast-intel(播客英特尔)
来源仓库:https://github.com/nexspaceiosdev/podcast-intel
安装命令:
openclaw skills install podcast-intel
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 podcast-intel

简介

podcast-intel 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。

  • 适用于播客自动化运营、内容分发和数据监控等场景。
  • 通过 openclaw skills install podcast-intel 安装,具体用法请参考 GitHub 仓库文档。
  • 安装前需确认权限范围和维护状态,注意可能触发联网、命令执行或文件读写操作。
  • 适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md


name: podcast-intel description: > Podcast intelligence engine. Transcribes, segments, summarizes, and scores podcast episodes from RSS feeds. Generates "worth your time" recommendations with cross-source deduplication and maintains a local consumption diary.

Use this skill when the user asks about podcasts, wants podcast recommendations, says "what podcasts should I listen to", "podcast briefing", "what's worth listening to", "podcast summary", "summarize this podcast", "podcast diary", "what did I listen to", or any request involving podcast content analysis.

Also activates for: "brief me on podcasts", "podcast recap", "new episodes", "what's new from [podcast name]", "is this episode worth it".

metadata: openclaw: emoji: "🎧" primaryEnv: "OPENAI_API_KEY" requires: bins: ["python3", "ffmpeg"] env: - OPENAI_API_KEY optionalEnv: - WHISPER_MODEL - PODCAST_INTEL_FEEDS - PODCAST_INTEL_INTERESTS

tools: - name: podcast_briefing description: > Full intelligence pipeline: fetch new episodes from configured feeds, transcribe audio, segment by topic, analyze against user interests, and generate ranked "worth your time" recommendations. Appends to local consumption diary. command: "cd {baseDir} && python3 scripts/main.py" args: - name: hours type: number description: "Look back this many hours for new episodes (default: 168 = 7 days)" default: 168 - name: top type: number description: "Return only the top N ranked recommendations (default: 10)" default: 10 - name: output type: string description: "Output format: json, markdown, or tts (default: markdown)" default: markdown options: ["json", "markdown", "tts"] - name: dry_run type: boolean description: "Analyze episodes but don't write to diary" default: false category: "podcast" requiredEnv: ["OPENAI_API_KEY"]

- name: podcast_analyze description: > Analyze a specific podcast episode by URL. Transcribes, segments, scores relevance and novelty against your interests. command: "cd {baseDir} && python3 scripts/main.py" args: - name: episode_url type: string description: "Direct URL to podcast audio file or RSS feed entry URL" required: true - name: show_name type: string description: "Name of the podcast show (optional, for context)" - name: output type: string description: "Output format: json or markdown" default: markdown options: ["json", "markdown"] category: "podcast" requiredEnv: ["OPENAI_API_KEY"]

- name: podcast_diary description: > Display your podcast consumption diary — a structured log of episodes you've been briefed on, topics covered, and recommendations. command: "cd {baseDir} && python3 scripts/diary.py" args: - name: show type: boolean description: "Display diary entries" default: true - name: last type: number description: "Show entries from the last N days (default: 7)" default: 7 - name: format type: string description: "Output format: json or markdown" default: markdown options: ["json", "markdown"] category: "podcast"

- name: podcast_recommend description: > Quick recommendations from already-transcribed episodes. No new transcription — uses cached transcripts and instant scoring. command: "cd {baseDir} && python3 scripts/main.py" args: - name: top type: number description: "Return only the top N ranked recommendations" default: 5 - name: recommend_only type: boolean description: "Skip transcription, use cache only" default: true - name: output type: string description: "Output format: json or markdown" default: markdown options: ["json", "markdown"] category: "podcast" requiredEnv: ["OPENAI_API_KEY"]

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。

平台分布

OpenClaw

97.22%
按下载量换算2,564

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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