Manage Buzzsprout podcast hosting: episodes and players via its JSON API.

MITAuto-check passedMedia & Creative

Install Buzzsprout

skills CLI
$ npx skills add Anil-matcha/awesome-muse-connectors --skill buzzsprout -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Anil-matcha/awesome-muse-connectors buzzsprout --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .claude/skills && cp -r skills-src/connectors/buzzsprout .claude/skills/buzzsprout && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
buzzsprout
GitHub stars
1.3k
Token cost
~836 tokens
SKILL.md length
269 words
Files
2
Skills in repo
153
Repo updated
First seen
Licence
MIT

At a glance

Manage Buzzsprout podcast hosting: episodes and players via its JSON API.

  • Works in 4 steps: Confirm before creating, updating, or… → podcast-id is required on every command;… → Episode fields go in --payload as JSON… → …
  • Phrases: buzzsprout
  • SKILL.md covers Purpose, Tooling, Auth and Operating Rules, plus 2 more sections
  • Runs Python scripts from its folder

What it does

Buzzsprout is an agent skill from Anil-matcha/awesome-muse-connectors. Manage Buzzsprout podcast hosting: episodes and players via its JSON API. Trigger phrases: buzzsprout, podcast episodes, publish episode, podcast hosting.

Its SKILL.md is about 840 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `bin/buzzsprout.py`).

It sits in Media & Creative, covering Podcasting. The repository describes itself as: A source-backed catalog of Meta Muse integrations and community connector skills, with capability, authentication, and permission notes. The licence is MIT.

When your agent uses it

  • Phrases: buzzsprout
  • Podcast episodes
  • Publish episode
  • Podcast hosting

Example prompts

  • “/buzzsprout”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Confirm before creating, updating, or deleting an episode: name the show, episode title, and what will change. No exceptions.
  2. podcast-id is required on every command; double-check it matches the intended show before any write.
  3. Episode fields go in --payload as JSON per Buzzsprout's API docs; keep the payload minimal (title, description, audio_url) unless the user…
  4. Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/buzzsprout.py). Do not print, log, or transmit the token…

What it can do on your machine

Read from SKILL.md and the folder at commit d6dc5d8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Buzzsprout loads about 836 tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 269 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~41
When it runs · the whole SKILL.md, loaded when a task matches
~836

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Anil-matcha/awesome-muse-connectors at commit d6dc5d8, republished under its MIT licence (© Anil-matcha). 269 words, ~836 tokens.

Download SKILL.mdSave it as .claude/skills/buzzsprout/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
buzzsprout
description
Manage Buzzsprout podcast hosting: episodes and players via its JSON API. Trigger phrases: buzzsprout, podcast episodes, publish episode, podcast hosting.
metadata.includeInPrompt
true
tagline
Manage podcast episodes on Buzzsprout: list and fetch episodes, create, update, or delete them, and list embed players. Use when the user wants to publish or…
catalog_auth
API token via the secure credential flow
catalog_hosts
www.buzzsprout.com

Buzzsprout

Purpose

Manage podcast episodes on Buzzsprout: list and fetch episodes, create, update, or delete them, and list embed players. Use when the user wants to publish or manage podcast episodes on a Buzzsprout-hosted show.

Tooling

All commands go through bin/buzzsprout.py. Every command takes --podcast-id because the podcast id is part of the API path:

bash
bin/buzzsprout.py auth --podcast-id 12345                                  # verify the API token
bin/buzzsprout.py episodes --podcast-id 12345                              # list episodes
bin/buzzsprout.py episode-get --podcast-id 12345 --episode-id 6789         # get one episode
bin/buzzsprout.py episode-create --podcast-id 12345 \
    --payload '{"title":"Ep 12","description":"...","audio_url":"https://..."}'  # create (confirm first)
bin/buzzsprout.py episode-update --podcast-id 12345 --episode-id 6789 \
    --payload '{"title":"New title"}'                                      # update (confirm first)
bin/buzzsprout.py episode-delete --podcast-id 12345 --episode-id 6789      # delete (confirm first)
bin/buzzsprout.py players --podcast-id 12345                              # list embed players

API quirks handled by the CLI (you do not need to think about them): every URL ends in .json, POST/PUT send Content-Type: application/json; charset=utf-8 (Buzzsprout returns 415 without it), auth is the literal header Authorization: Token token=<token> (no whitespace after token=), and a custom User-Agent is sent on every request (Buzzsprout requires one).

Auth

  • Provider id: buzzsprout (credential is collected as custom.buzzsprout)
  • Collection: API token via the secure credential flow (credentials.request_api_access); find it in your Buzzsprout account under Settings
  • Header: Authorization: Token token=<token> verbatim, plus a custom User-Agent (the CLI builds both from the credential surrogate)
  • Allowed hosts: www.buzzsprout.com
  • Status check: bin/buzzsprout.py auth --podcast-id <id> (lists episodes; a successful list proves the token works)

Operating Rules

  1. Confirm before creating, updating, or deleting an episode: name the show, episode title, and what will change. No exceptions.
  2. --podcast-id is required on every command; double-check it matches the intended show before any write.
  3. Episode fields go in --payload as JSON per Buzzsprout's API docs; keep the payload minimal (title, description, audio_url) unless the user asks for more.
  4. Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/buzzsprout.py). Do not print, log, or transmit the token value.

Files

  • SKILL.md
  • bin/buzzsprout.py

Maturity

Draft: written from Buzzsprout's public API docs; not yet live-tested end-to-end.

© Anil-matcha, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in connectors/buzzsprout of Anil-matcha/awesome-muse-connectors.

  • SKILL.md
  • bin/buzzsprout.py

Open the folder on GitHubat commit d6dc5d8

Compare with similar skills

Buzzsprout next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Buzzsprout compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Buzzsprout this skillAnil-matcha/awesome-muse-connectors1.3k—~836Automated safety check: PassMIT
Podcastzarazhangrui/personalized-podcast437—~2.3kAutomated safety check: NotesNone
Podpullxiaoleiy/podpull146—~962Automated safety check: PassMIT
Xiaoyuzhou Downloadgainubi/wechat-skills170—~551Automated safety check: PassNone
Summarizetrpc-group/trpc-agent-go1.9k22 repos~552Automated safety check: PassApache-2.0
Article To Podcast Scriptdigoal/blog8.6k—~1.6kAutomated safety check: PassGPL-2.0

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Questions about Buzzsprout

What does Buzzsprout do?

Manage Buzzsprout podcast hosting: episodes and players via its JSON API. Buzzsprout is an agent skill from Anil-matcha/awesome-muse-connectors. Manage Buzzsprout podcast hosting: episodes and players via its JSON API.

When should I use Buzzsprout?

Buzzsprout fits situations like: phrases: buzzsprout; podcast episodes; publish episode; podcast hosting.

How do I install Buzzsprout in Claude Code?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill buzzsprout -a claude-code`. Or copy the skill folder (connectors/buzzsprout in Anil-matcha/awesome-muse-connectors) into .claude/skills/buzzsprout in your project. Claude Code loads it when a task matches its description.

How do I install Buzzsprout in Codex?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill buzzsprout -a codex`. Or copy the skill folder (connectors/buzzsprout in Anil-matcha/awesome-muse-connectors) into .agents/skills/buzzsprout in your project. Codex loads it when a task matches its description.

Can I use Buzzsprout in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Anil-matcha/awesome-muse-connectors --skill buzzsprout -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/buzzsprout, .gemini/skills/buzzsprout, .github/skills/buzzsprout and .opencode/skills/buzzsprout in your project.

What does Buzzsprout need to run?

Going by SKILL.md and its folder, Buzzsprout needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Buzzsprout access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Buzzsprout safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Buzzsprout use?

Buzzsprout is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Buzzsprout use?

About 836 tokens (SKILL.md is roughly 3.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Buzzsprout?

Skills that share tags, products or a category with Buzzsprout: Podcast (zarazhangrui/personalized-podcast, 437 stars), Podpull (xiaoleiy/podpull, 146 stars), Xiaoyuzhou Download (gainubi/wechat-skills, 170 stars) and Summarize (trpc-group/trpc-agent-go, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Buzzsprout?

Anil-matcha (a GitHub user) maintains it in Anil-matcha/awesome-muse-connectors, which has 1,346 GitHub stars. The repository holds 153 skills in this directory. The repository was last updated on October 5, 2026.

Source: Anil-matcha/awesome-muse-connectors on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.