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 swyxio/skills --skill podcast-publishing-assistantgit clone --depth 1 https://github.com/swyxio/skillsWrote 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/swyxio/skills/podcast-publishing-assistant)<a href="https://agentmods.dev/skills/swyxio/skills/podcast-publishing-assistant"><img src="https://agentmods.dev/badge/skills/swyxio/skills/podcast-publishing-assistant/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/swyxio/skills/podcast-publishing-assistant"><img src="https://agentmods.dev/badge/skills/swyxio/skills/podcast-publishing-assistant.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 | $0.00119 | $0.01195 |
| Opus 5 | $0.00060 | $0.00598 |
| Sonnet 5 | $0.00024 | $0.00239 |
| Haiku 4.5 | $0.00012 | $0.00120 |
Grade A, and why
podcast-publishing-assistant 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 12d 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 — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Podcast Publishing Assistant
Use this skill for podcast or interview publishing workflows.
Core rules
- Prefer source audio over platform captions.
- Do not rely on YouTube captions unless the user explicitly asks for the fastest possible rough pass.
- For Whisper or API transcripts, be honest about uncertainty. Do not claim true diarization unless the tool actually produced it.
- If the user has a formatting preference, preserve it exactly on later turns.
- Default chapter output for swyx: YouTube timestamp format only, start times only, followed by a 2 to 10 word headline.
Workflow
-
Fetch source audio first.
- For YouTube URLs, use
yt-dlpto extract audio. - Prefer MP3 output for compatibility.
- For YouTube URLs, use
-
Transcribe with a fallback ladder.
- First try the OpenAI Whisper API when
OPENAI_API_KEYis available. - The OpenAI audio transcription upload cap is about 25 MB. Expect long episodes to exceed it.
- If the file is too large, compress before retrying, for example mono 16 kHz MP3 around 32 kbps.
- If API transcription still fails, fall back to local Whisper.
- If a script exists but is not executable, invoke it with
bashrather than failing on permissions.
- First try the OpenAI Whisper API when
-
Keep the user updated during long jobs.
- Brief progress notes are enough: downloading, compressing, transcribing, packaging.
- If a fallback happens, say what failed in one line and continue.
-
Produce the publishing pack.
- Summary tuned for someone deciding whether to watch or listen.
- Key takeaways or key arguments.
- 5 title ideas when asked.
- 5 description ideas when asked.
- Chapter timestamps.
- Optional: tweet thread, show notes, key quotes, newsletter blurb.
-
Package timestamps correctly.
- Prefer real timestamps if the transcription source provides segments.
- If the transcript is a single plain-text blob, estimate coarse chapter times conservatively and label them as approximate if needed.
- For swyx, default to this exact style:
0:00Intro and origin story3:30How the brand grew
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.
- 12d ago First seen · 129 lines · 119 tokens per session scan A 6915c36e6e7f
podcast-publishing-assistant is a skill published in the GitHub repository swyxio/skills (158 stars, last pushed yesterday), licensed MIT. It adds 119 tokens to every session and 1,195 once invoked, about $0.0006 per session on Opus 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 2026-08-30.
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