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-nanogit 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-nano)<a href="https://agentmods.dev/skills/agents365-ai/video-podcast-maker/video-podcast-maker-nano"><img src="https://agentmods.dev/badge/skills/agents365-ai/video-podcast-maker/video-podcast-maker-nano/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-nano"><img src="https://agentmods.dev/badge/skills/agents365-ai/video-podcast-maker/video-podcast-maker-nano.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00163 | $0.03375 |
| Opus 5.5 | $0.00065 | $0.01350 |
| Sonnet 5.5 | $0.00033 | $0.00675 |
| Haiku 4.5 | $0.00016 | $0.00337 |
Grade A, and why
video-podcast-maker-nano scanned grade A with 0 findings 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Podcast Maker Nano
A 7-step pipeline for personal use: research ∥ materials → script → TTS → audio checkpoint → video → preview checkpoint → 4K render ∥ publish kit. No bundled scripts, no hardcoded backends, no templates. The skill owns the logic and runs autonomously by default; the TTS backend and video tool are chosen per video (see Tool selection).
What makes this work regardless of tool choice — the three invariants:
- Checkpoints are never skipped — but who checks is policy. Three checkpoints exist: script (after Step 2), audio (after Step 3), preview (before render). Default checker is the agent itself (self-verification, defined per checkpoint); a project's AGENTS.md/CLAUDE.md may upgrade any checkpoint to a human gate — see Oversight policy.
- Audio is the master clock. The final video's duration must match the narration audio within ±0.5s (
ffprobeboth). Visuals are cut to the audio, never the reverse. - A script change invalidates everything downstream. Edit the script → re-run the script checkpoint, then TTS → audio checkpoint → visuals → preview checkpoint → render. Never hand-patch timings.
Oversight policy
Default mode is autonomous: the pipeline runs end to end, with the agent performing every checkpoint's self-verification. A working project's AGENTS.md/CLAUDE.md can override per checkpoint with one line each:
Checkpoint 1 (script): human— halt after Step 2 until the user approves the script. Worth it: a late script change costs a full re-run.Checkpoint 2 (audio): human— the user listens to the full audio before visuals. Worth it when TTS misreadings are costly to catch later.Checkpoint 3 (preview): human— the user reviews the draft before render. Worth it for style-sensitive channels.
Unmentioned checkpoints stay agent-verified. Project policy files start from AGENTS.template.md (next to this SKILL.md): copy it into the video project root as AGENTS.md (plus a CLAUDE.md copy for Claude Code) and fill in the tool bindings. The skill never uploads or publishes anything anywhere — the publish kit is files on disk; publishing is always a human act outside this pipeline.
What ships with it
1 file 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 · +5 lines 9e86a20b88c0
- 1mo ago First seen · 127 lines · 163 tokens per session scan A cfbcb42bfe2e
video-podcast-maker-nano is a skill published in the GitHub repository Agents365-ai/video-podcast-maker (1,702 stars, last pushed 26d ago), licensed MIT. It adds 163 tokens to every session and 3,375 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.
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