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 calesthio/generative-media-skills --skill podcast-productiongit clone --depth 1 https://github.com/calesthio/generative-media-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/calesthio/generative-media-skills/podcast-production)<a href="https://agentmods.dev/skills/calesthio/generative-media-skills/podcast-production"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/podcast-production/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/calesthio/generative-media-skills/podcast-production"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/podcast-production.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 | $0.00194 | $0.08024 |
| Opus 5 | $0.00097 | $0.04012 |
| Sonnet 5 | $0.00039 | $0.01605 |
| Haiku 4.5 | $0.00019 | $0.00802 |
Grade A, and why
podcast-production 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 — 559 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Podcast production with generative tools
This skill covers producing a finished, publishable podcast episode when some or all of the audio is machine-generated. It is provider-neutral: it names TTS engines, music libraries, and hosts only as illustrative options, never as the method. The craft — format design, writing for the ear, voice direction, structure, rights, loudness, delivery, disclosure, and QA — is the same regardless of which tool renders the audio.
An episode is done when it (1) serves a defined show and audience, (2) sounds intentional and consistent, (3) uses only audio you have the right to distribute, (4) meets the loudness and file specs of its target platforms, (5) ships correct RSS metadata plus a transcript, (6) carries any legally or platform-required AI disclosure, and (7) has passed a listen-through QA. Skipping any of these is a defect, not a shortcut.
1. Scope and activation
Use this skill when the task is a spoken-word audio program: a topic explainer show, an interview series, a daily/weekly news brief, a narrative/documentary episode, a two-host conversational show, an internal briefing feed, or a show bible/format design for any of those.
Do not use it for:
- Music production — songs, beds, or stings as the deliverable (that is a music/audio-generation concern). This skill consumes music and treats it as a rights and loudness problem.
- A single TTS line — an IVR prompt, a notification, one voiceover clip with no show context.
- Video where the picture leads — if the deliverable is a video and audio is a track under it, the video workflow owns pacing and delivery. This skill applies when audio is the product.
If a request is ambiguous ("make an audio version of this article"), confirm whether the output is a one-off narration or an episode of a show. The two need different structure and metadata.
2. Format design (do this before writing a word)
The single most consequential early decision is format, because format dictates script style, voice count, structure, and length. Common podcast formats and what each demands (production heuristic, drawn from standard podcast-production practice — see Sources):
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 · 559 lines · 194 tokens per session scan A 3371a04d8989
podcast-production is a skill published in the GitHub repository calesthio/generative-media-skills (170 stars, last pushed 2mo ago), licensed MIT. It adds 194 tokens to every session and 8,024 once invoked, about $0.0010 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.
Other skills, from other repositories
cliptalk-cover-director
Produces evidence-backed cover candidates and reviewable cover variants for a ClipTalk video. Use when the user asks for a cover, poster frame, thumbnail, or multiple cover directions; do not use for timeline editing or social-video reframing.
cliptalk-smart-reframe
Creates a subject-aware, time-varying crop track and a review-only social-format preview from an accepted ClipTalk cut. Use for automatic vertical, square, or portrait reframing; do not use for a fixed manual crop or before content editing is accepted.
cliptalk-content-extractor
Locates and assembles source passages matching a semantic request. Use for extracting explanations, topics, quotes, demonstrations, or other specifically described content.
cliptalk-interview-editor
Produces a coherent interview edit by combining speaker discovery, topic selection, dialogue context, cleanup, subtitles, and preview. Use for interviews, podcasts, testimonials, or question-and-answer recordings.
cliptalk-shortform-hook-director
Finds and assembles a reviewable short-form cut with a strong opening hook. Use for Shorts, Reels, social clips, talking-head cutdowns, or requests for a punchier opening.
cliptalk-social-reframe-exporter
Creates a review-only 9:16, 4:5, 1:1, or 16:9 version from an existing accepted ClipTalk cut, then checks the rendered preview. Use only when a cut already exists and the user asks to adapt it for Shorts, Reels, Douyin, Xiaohongshu, WeChat Channels, or square feeds; do not use when the user still needs content found…