Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/musingfox/cc-plugins/apple-podcasts-fetchnpx skills add musingfox/cc-plugins --skill apple-podcasts-fetchgit clone --depth 1 https://github.com/musingfox/cc-pluginsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/musingfox/cc-plugins/apple-podcasts-fetch)<a href="https://agentmods.dev/skills/musingfox/cc-plugins/apple-podcasts-fetch"><img src="https://agentmods.dev/badge/skills/musingfox/cc-plugins/apple-podcasts-fetch.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00085 | $0.01574 |
| Opus 5 | $0.00043 | $0.00787 |
| Sonnet 5 | $0.00017 | $0.00315 |
| Haiku 4.5 | $0.00009 | $0.00157 |
Grade A, and why
Apple Podcasts Fetch scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
**Example using curl:** How it starts
The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Apple Podcasts Episode Audio Fetch
Fetch audio download URLs from Apple Podcasts episodes using only HTTP APIs. No browser, no scraping — just iTunes Lookup API and RSS feed parsing.
Overview
Apple Podcasts does not expose direct audio URLs on its web pages. To obtain the audio file URL for a specific episode, follow a three-step API pipeline:
- Parse the Apple Podcasts URL to extract
show_idandtrack_id - Call iTunes Lookup API to get the podcast's RSS feed URL
- Call iTunes Episode Lookup to get the
episodeGuid, then fetch the RSS feed and match the guid to extract the audio<enclosure>URL
Step 1: Parse the Apple Podcasts URL
Apple Podcasts episode URLs follow this structure:
https://podcasts.apple.com/{region}/podcast/{slug}/id{show_id}?i={track_id}
Example:
https://podcasts.apple.com/tw/podcast/ep640/id1500839292?i=1000752065662
^^^^^^^^^^ ^^^^^^^^^^^^^
show_id track_id
Extract two values:
show_id: The numeric ID afteridin the URL path (e.g.,1500839292)track_id: The value of the?i=query parameter (e.g.,1000752065662)
Both values are required. If the URL lacks ?i=, prompt the user to provide a URL that includes the episode-specific ?i= parameter, or use the iTunes Episode Lookup (Step 3a) to list recent episodes for the user to choose from.
Step 2: Get RSS Feed URL via iTunes Lookup API
Make a GET request:
GET https://itunes.apple.com/lookup?id={show_id}
The response JSON contains a results array. The first result includes:
| Field | Description |
|---|---|
feedUrl |
The podcast's RSS feed URL |
collectionName |
Podcast title |
trackCount |
Total episode count |
Extract the feedUrl value for Step 3.
Example using curl:
curl -s "https://itunes.apple.com/lookup?id=1500839292" | jq '.results[0].feedUrl'
Step 3: Get Episode Audio URL
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 161 lines · 85 tokens per session scan A 287153742373
Apple Podcasts Fetch is a skill published in the GitHub repository musingfox/cc-plugins (2 stars, last pushed today), licensed MIT. It adds 85 tokens to every session and 1,574 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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