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chaoliuzhu

AI播客生成器

by Chaoliuzhu · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install delonix-ai-podcast
Description
Generate AI podcast episodes from PDFs, text, notes, and links using MagicPodcast in OpenClaw. Creates natural two-person dialogue audio, supports custom lan...
README (SKILL.md)

What this skill does

Magic Podcast turns PDFs, documents, and notes into a natural two-host conversation you can listen to in minutes.

Use MagicPodcast to:

  1. Ask what the podcast should be about.
  2. Ask for source: PDF URL or pasted text.
  3. Ask for podcast language (do not assume).
  4. Confirm: Ok, want me to make a podcast of this "topic/pdf" in "language". Should I do it?
  5. Create a two-person dialogue podcast from that exact source.
  6. Immediately return https://www.magicpodcast.app/app so user can open their podcast dashboard.
  7. Check status only when user asks.
  8. Return title plus the shareable podcast URL when complete.

Keywords

ai podcast, podcast, podcast generator, ai podcast generator, pdf to podcast, text to podcast, podcast from pdf, audio podcast, magicpodcast

Setup

Set required env:

export MAGICPODCAST_API_URL="https://api.magicpodcast.app"
export MAGICPODCAST_API_KEY="\x3Cyour_api_key>"

Get API key: https://www.magicpodcast.app/openclaw

Guided onboarding (one step at a time)

  1. Ask one question at a time, then wait for the user's reply before asking the next.
  2. If API key is missing or invalid, stop and say: It's free to get started, and it takes under a minute. Open https://www.magicpodcast.app/openclaw, sign in with Google, copy your API key, and paste it here.
  3. If user has a local PDF file, ask them to upload it to a reachable URL first.
  4. After key is available, continue:
    1. topic
    2. source (PDF URL or pasted text)
    3. language
    4. final confirmation before create

Secure command templates

Never interpolate raw user text directly into shell commands.
Always validate first, then JSON-encode with jq.

safe_job_id() {
  printf '%s' "$1" | grep -Eq '^[A-Za-z0-9_-]{8,128}$'
}

safe_http_url() {
  printf '%s' "$1" | grep -Eq '^https?://[^[:space:]]+$'
}

Create from PDF:

# Inputs expected from conversation state:
# PDF_URL, LANGUAGE
if ! safe_http_url "$PDF_URL"; then
  echo "Invalid PDF URL" >&2
  exit 1
fi

payload="$(jq -n --arg pdfUrl "$PDF_URL" --arg language "$LANGUAGE" '{pdfUrl:$pdfUrl,language:$language}')"

curl -sS -X POST "$MAGICPODCAST_API_URL/agent/v1/podcasts/pdf" \
  -H "Content-Type: application/json" \
  -H "x-api-key: $MAGICPODCAST_API_KEY" \
  --data-binary "$payload"

Create from text:

# Inputs expected from conversation state:
# SOURCE_TEXT, LANGUAGE
payload="$(jq -n --arg text "$SOURCE_TEXT" --arg language "$LANGUAGE" '{text:$text,language:$language}')"

curl -sS -X POST "$MAGICPODCAST_API_URL/agent/v1/podcasts/text" \
  -H "Content-Type: application/json" \
  -H "x-api-key: $MAGICPODCAST_API_KEY" \
  --data-binary "$payload"

Check job once:

# Input expected from API response:
# JOB_ID
if ! safe_job_id "$JOB_ID"; then
  echo "Invalid job id" >&2
  exit 1
fi

curl -sS "$MAGICPODCAST_API_URL/agent/v1/jobs/$JOB_ID" \
  -H "x-api-key: $MAGICPODCAST_API_KEY"
  • Signed-in users can generate free podcast.
  • Expected generation time is usually 2-5 minutes.
  • Right after starting, direct users to https://www.magicpodcast.app/app.
  • Tell the user this page is their dashboard: they can see created podcasts, live progress/status, and finished episodes.
  • Return outputs.shareUrl as the default completion link.
  • If outputs.shareUrl is missing, fall back to outputs.appUrl.
  • On completion, answer: Here is your podcast link: \x3Curl>.
  • If API returns an error, surface the exact error message and details.
  • Warn users not to send sensitive documents unless they approve external processing.

Status checks:

  • statusLabel = "complete": return outputs.shareUrl (or outputs.appUrl as fallback).
  • statusLabel = "failed": return error message/details to user.
Usage Guidance
This skill appears to do what it claims: it asks for a source and language then posts to MagicPodcast endpoints using an API key. Before installing: 1) Verify the skill owner and slug/version mismatch (registry metadata vs _meta.json) — confirm you trust the publisher. 2) Make sure MAGICPODCAST_API_URL is the official API (https://api.magicpodcast.app) and obtain your API key from the official OpenClaw link shown in SKILL.md. 3) Keep sensitive documents local — the skill explicitly sends content to MagicPodcast; do not upload confidential files unless you're sure about the service's data handling. 4) Ensure curl and jq are available on the agent host. If you need higher assurance about provenance, ask the publisher to resolve the metadata inconsistencies and provide a clear owner ID before proceeding.
Capability Analysis
Type: OpenClaw Skill Name: delonix-ai-podcast Version: 1.0.0 The skill is a legitimate integration for the MagicPodcast service, allowing users to convert PDFs and text into audio podcasts. The shell templates in SKILL.md demonstrate good security practices, such as using jq for JSON encoding to prevent command injection and implementing regex-based validation for URLs and job IDs. All network traffic is directed to the service's official API (api.magicpodcast.app), and there is no evidence of data exfiltration, obfuscation, or malicious prompt injection.
Capability Tags
requires-sensitive-credentials
Capability Assessment
Purpose & Capability
The name/description (PDF/text-to-podcast using MagicPodcast) match the declared requirements (curl, jq, MAGICPODCAST_API_URL, MAGICPODCAST_API_KEY) and the SKILL.md calls only MagicPodcast endpoints. However, package metadata inconsistencies exist: registry metadata lists ownerId 'kn75tsqd...' and slug 'delonix-ai-podcast' / version 1.0.0, while _meta.json shows ownerId 'kn79nyref...' slug 'ai-podcast' / version 1.0.11. This mismatch could be a benign packaging error but raises a provenance question.
Instruction Scope
SKILL.md instructions are narrowly scoped to asking the user for topic/source/language and then calling the declared MagicPodcast API endpoints. It includes safe URL/job-id validation and JSON encoding with jq and warns users not to upload sensitive documents. The instructions do not reference other system files, secrets, or unexpected external endpoints.
Install Mechanism
There is no install spec and no code files — the skill is instruction-only and relies on existing curl and jq binaries. This is the lowest-risk install mechanism.
Credentials
The only environment variables required are MAGICPODCAST_API_URL and MAGICPODCAST_API_KEY, which are appropriate for calling the MagicPodcast API. No unrelated credentials or filesystem config paths are requested.
Persistence & Privilege
The skill is not always-enabled, does not request elevated presence, and is user-invocable. It does not attempt to modify other skills or system-wide settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install delonix-ai-podcast
  3. After installation, invoke the skill by name or use /delonix-ai-podcast
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
首发版本:PDF/文本转AI播客,支持多语言对话
Metadata
Slug delonix-ai-podcast
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is AI播客生成器?

Generate AI podcast episodes from PDFs, text, notes, and links using MagicPodcast in OpenClaw. Creates natural two-person dialogue audio, supports custom lan... It is an AI Agent Skill for Claude Code / OpenClaw, with 114 downloads so far.

How do I install AI播客生成器?

Run "/install delonix-ai-podcast" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is AI播客生成器 free?

Yes, AI播客生成器 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does AI播客生成器 support?

AI播客生成器 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created AI播客生成器?

It is built and maintained by Chaoliuzhu (@chaoliuzhu); the current version is v1.0.0.

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