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podcast-discovery播客发现

Agent Skill

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。

总安装

14,027

周安装

573

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下载量

4,492
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-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

简介

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

SKILL.md

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."

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能力 2

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能力 3

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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

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按下载量换算4,395

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权限和风险

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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

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