Video Podcast Maker is an automated pipeline that turns a topic into a narrated video by researching it, writing a script, generating speech, assembling media, and rendering the result. It is for people publishing video podcasts to services such as Bilibili, YouTube, Xiaohongshu, Douyin, and WeChat Channels through a coding agent. The catalogue entries are the agent skills and instruction used to run this production workflow.
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 skills add Agents365-ai/video-podcast-maker --skill video-podcast-maker-litegit clone --depth 1 https://github.com/Agents365-ai/video-podcast-makerWrote 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/agents365-ai/video-podcast-maker/video-podcast-maker-lite)<a href="https://agentmods.dev/skills/agents365-ai/video-podcast-maker/video-podcast-maker-lite"><img src="https://agentmods.dev/badge/skills/agents365-ai/video-podcast-maker/video-podcast-maker-lite/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/agents365-ai/video-podcast-maker/video-podcast-maker-lite"><img src="https://agentmods.dev/badge/skills/agents365-ai/video-podcast-maker/video-podcast-maker-lite.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 4 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 70 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium MCP Rug Pull · line 118 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 128 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 156 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 5.1 | $0.00096 | $0.04730 |
| Opus 5.5 | $0.00038 | $0.01892 |
| Sonnet 5.5 | $0.00019 | $0.00946 |
| Haiku 4.5 | $0.00010 | $0.00473 |
Grade A, and why
video-podcast-maker-lite 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 1mo 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.
How to fetch (verified 2026-08-25): Pixabay's search/list pages are client-rendered and Cloudflare-gated for non-browser clients, but a single-track page opened in a real browser embeds the full-track download URL in its How it starts
The opening of the file, as written. The whole thing — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Podcast Maker Lite
A single-purpose pipeline for personal use: topic → narration script → Azure TTS (SSML) → Remotion → 1080p/4K MP4. No external skills, no config files, no bundled templates — the Remotion composition is generated once against the contract below, then reused across videos.
Prerequisites
pip3 install azure-cognitiveservices-speech # the only Python dependency
export AZURE_SPEECH_KEY="..." # Azure Speech resource key
export AZURE_SPEECH_REGION="..." # e.g. eastasia
# ffmpeg + node 18+ required; one Remotion project with npm install done
# Playwright MCP (session browser) needed only for Step 5 BGM fetching
Project discovery (run before Step 1)
- Locate the Remotion project — the directory containing both
src/remotion/index.tsandnode_modules/remotion/. Check the current working directory first; if it is not there, ask the user for the project path. Do NOT scan the filesystem, and do NOT create a new project if one exists elsewhere. - Inventory existing videos —
ls videos/andls src/remotion/*Video.tsx. The most recent*Video.tsxis the component to copy in Step 3;videos/shows which videos already exist. - Existing
videos/{name}/? Then this is an iteration on that video, not a new one — reuse the directory and re-run only what changed (see Iterating). - No project anywhere (first run only) → scaffold once in the working directory:
npm init -y && npm i remotion @remotion/cli @remotion/transitions react react-dom, createsrc/remotion/, and warn the user about the one-time ~2 GB install. All later videos skip this.
Workflow (6 steps)
Run all commands from the project root. All artifacts for one video live in videos/{name}/ inside the project. {name} is lowercase English, hyphen-separated.
Step 1 — Write the script: videos/{name}/podcast.txt
One [SECTION:xxx] marker per video segment; section names are lowercase English (hero, content-1, outro). An optional display title goes after a | — [SECTION:outro|thanks] — it labels the progress-bar pill and default layout (without it, the label derives from the first sentence, which can be awkward). Lines starting with # are ignored (and may safely mention markers). Spoken text only — no markdown — and follow the script style rules below. Example:
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago Changed · +2 lines 493aaf481a5e
- 1mo ago First seen · 205 lines · 96 tokens per session scan A 9474e09ee8d9
video-podcast-maker-lite is a skill published in the GitHub repository Agents365-ai/video-podcast-maker (1,702 stars, last pushed 26d ago), licensed MIT. It adds 96 tokens to every session and 4,730 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-09-05.
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