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Agent Skill · 研究检索

podcast-discovery(播客发现)

podcast-discovery 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。

podcast-discovery 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 9,549。

总安装 14,027周安装 573GitHub Stars 公开资料未说明下载 4,492核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
0.0.4

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-discovery(播客发现)
来源仓库:https://github.com/aegrumet/podcast-discovery
安装命令:
openclaw skills install podcast-discovery
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-discovery

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

Wherever.Audio 的播客发现——查找节目和剧集,生成Wherever.audio 链接。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install podcast-discovery;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

podcast-discovery 怎么安装?

在终端执行 openclaw skills install podcast-discovery。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

podcast-discovery 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

podcast-discovery 需要什么权限?

权限级别是需要联网。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。

podcast-discovery 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

podcast-discovery 用的人多吗?

公开数据是累计安装 14,027 次,近一周安装 573 次,下载 4,492 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

podcast-discovery 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
podcast-discovery

播客发现 · 本页

14,027—需要联网MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
podcast-discovery
description
Podcast discovery for Wherever.Audio -- find shows and episodes, generate wherever.audio links.
user-invocable
true
metadata
openclaw
emoji
🎧

podcast-discovery

Podcast discovery skill for Wherever.Audio. Given a natural-language query, find the right podcast show or episode and return a playable wherever.audio link.

Do NOT use this skill for non-podcast queries (general web search, music, etc.).

Trigger phrases

Use this skill immediately when the user message includes podcast lookup language such as:

  • "find podcast", "find the podcast", "look up podcast", "search podcasts"
  • "find episode", "podcast episode about", "interview episode", "latest episodes"
  • "give me a wherever link", "wherever link", "wherever.audio link", "listen link", "show link"
  • named show/host requests like "Radiolab", "Lex Fridman", "Hard Fork", or "Joe Rogan"

When triggered, prioritize link construction over metadata reporting.

Primary Objective (Highest Priority)

Your job is to produce a working Wherever link (/show or /listen) as soon as enough information is available.

Success condition:

  1. Resolve a valid RSS URL from Clawsica.
  2. If contentScope = podcast-show, immediately return a show link.
  3. If contentScope = podcast-episode and a matching item is found, immediately return an episode link.

Do not stop at metadata, search summaries, or candidate lists if a valid link can be constructed.

Link Templates

Episode (contentScope = podcast-episode): https://wherever.audio/listen?rssUrl={rss_url}&itemGuid={guid}&fallbackLink={fallback}

Show (contentScope = podcast-show): https://wherever.audio/show?rssUrl={rss_url}

All {placeholder} values must be URL-encoded.

Action Policy: Link-First, Ask-Last

Default behavior is to execute and return a link in the same response.

Only ask a follow-up question when one of these is true:

  • You cannot determine whether the user wants a show vs episode.
  • Clawsica returns no plausible show/RSS result after retries.
  • Multiple episode candidates are similarly strong and no clear best match exists.

If none of the above apply, do not ask for confirmation. Return the link.

Token Budget Policy

  • Run local tooling first and send only compact result fields to the model.
  • Never send raw RSS XML, full feed dumps, or large metadata blobs to the model.
  • For episode matching, pass only top-ranked candidate rows needed for decision-making and link construction.

Workflow

Step 1 — Classify the query

Before searching, classify the user's query along two dimensions:

intentType — what kind of request?

  • specific-podcaster — user names a host or show (e.g. "Lex Fridman", "Radiolab")
  • specific-topic — user describes a topic or guest (e.g. "Geoffrey Hinton interview about AI")
  • discovery — broad exploration (e.g. "best science podcasts", "podcasts about space")

contentScope — what are they looking for?

  • podcast-show — a show/feed (e.g. "find the Radiolab podcast")
  • podcast-episode — a specific episode (e.g. "the Radiolab episode about colors")

Step 2 — Resolve the show

If intentType is specific-podcaster (show name is known): Go directly to Clawsica (step 3). The query likely contains the show title.

If intentType is specific-topic or discovery (show name is unknown): Search the web first to discover likely podcast titles, then proceed to Clawsica with those titles.

Step 3 — Clawsica show search

Search for podcast shows using the public Clawsica endpoint. This returns show metadata including RSS feed URLs.

curl -s "https://clawsica.wherever.audio/p?q=radiolab"

Returns a JSON array of show objects. Each object includes a url field containing the RSS feed URL.

Important: Only use the url field from Clawsica results as the RSS URL. Do NOT substitute web page URLs, Apple Podcasts links, Spotify links, or any other URL — Wherever.Audio only understands RSS feed URLs. If Clawsica returns no results and you cannot obtain a definitive RSS feed URL, tell the user you were unable to find the podcast rather than guessing with a non-RSS URL.

If Clawsica returns no results, try alternate spellings or broader terms. See references/CLAWSICA_API.md for the full API reference.

Step 4 — Branch by contentScope

If contentScope is podcast-show: Construct a show link using the RSS URL from step 3 and present it immediately. Do not ask for additional confirmation. Done.

Example: https://wherever.audio/show?rssUrl=https%3A%2F%2Ffeeds.feedburner.com%2Fradiolab

If contentScope is podcast-episode: Continue to step 5.

Step 5 — Run local feed tooling (required for episode lookup)

For episode lookup, use local tooling instead of manual XML parsing:

python scripts/search_feed_episodes.py --mode search --rss-url "https://feeds.feedburner.com/radiolab" --query "space stories" --limit 5

Optional semantic rerank:

python scripts/search_feed_episodes.py --mode search --rss-url "https://feeds.feedburner.com/radiolab" --query "space stories" --limit 5 --semantic

Compact search output contract:

  • top-level keys: mode, rssUrl, query, semanticUsed, candidateCount, candidates
  • candidate keys: guid, title, pubDate, fallbackLink, score

Use these candidate rows to select the best episode. Do not return feed-level metadata unless explicitly requested.

Selection policy:

  • Auto-pick when the top score is clearly stronger than the second candidate.
  • If top candidates are near-tied, ask one disambiguation question.

Step 6 — Construct the episode link

Build a wherever.audio episode link using values from the selected search candidate:

  • rss_url — the feed URL from step 3
  • guid — candidate guid
  • fallback — candidate fallbackLink

Example:

https://wherever.audio/listen?rssUrl=https%3A%2F%2Ffeeds.feedburner.com%2Fradiolab&itemGuid=some-guid-value&fallbackLink=https%3A%2F%2Fradiolab.org%2Fepisode

Present the link to the user along with the episode title and publish date.

Optional utilities — newest and overview

If the user asks for latest episodes from a known feed:

python scripts/search_feed_episodes.py --mode newest --rss-url "https://feeds.feedburner.com/radiolab" --limit 10

Compact newest output contract:

  • top-level keys: mode, rssUrl, count, items
  • item keys: guid, title, pubDate, fallbackLink

If the user asks for feed-level metadata:

python scripts/search_feed_episodes.py --mode overview --rss-url "https://feeds.feedburner.com/radiolab"

Compact overview output contract:

  • mode, rssUrl, feedTitle, feedDescriptionShort, author, language, lastBuildDate, itemCount

Use these utility modes to answer the request directly while keeping payloads compact.

Run the local feed tool (for developers/testing)

Path: scripts/search_feed_episodes.py (relative to the skill directory) Requirements: scripts/requirements.txt (feedparser, rapidfuzz, pytest) Quick start (recommended, cross-platform): 1) Create and activate a virtual environment in the skill folder: python3 -m venv .venv source .venv/bin/activate # macOS / Linux.venv\Scripts\activate # Windows (PowerShell) 2) Install dependencies: pip install -r scripts/requirements.txt 3) Run the tool (examples): python scripts/search_feed_episodes.py --mode overview --rss-url "<RSS_URL>" python scripts/search_feed_episodes.py --mode newest --rss-url "<RSS_URL>" --limit 10 python scripts/search_feed_episodes.py --mode search --rss-url "<RSS_URL>" --query "attack on Iran" --limit 5 --semantic Notes: The tool prints compact JSON matching the skill's expected contracts. Make the script executable (chmod +x scripts/search_feed_episodes.py) for direct execution. Use the venv if system pip is restricted.

Response Format

When a link is available, respond in this order:

  1. The Wherever URL (first line).
  2. One short line identifying the resolved show/episode.
  3. Optional one-line note only if there was ambiguity.

Keep responses concise. Do not include raw metadata dumps unless explicitly requested.

Prohibited Behavior

  • Do not return only webpage metadata when a Wherever link can be built.
  • Do not ask "Should I proceed?" if required link parameters are already known.
  • Do not present candidate options unless disambiguation is truly required.

Privacy

  • Do NOT expose internal Clawsica infrastructure details beyond what is documented here.
  • The Clawsica search endpoint does not require authentication.
  • See references/CLAWSICA_API.md for the full API reference.
  • See references/LOCAL_EPISODE_SEARCH.md for local feed-tool commands and schema details.

Example prompts

  • "Find a Geoffrey Hinton interview episode and give me a wherever.audio link."
  • "What episodes cover Radiolab's space stories?"
  • "Search for BBC science podcasts about AI."
  • "Give me the Lex Fridman podcast."
  • "Find the podcast Hard Fork."

平台分布

OpenClaw

97.83%
按下载量换算4,395

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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