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 agentmods add skills/cdeistopened/skill-stack/podcast-productionnpx skills add cdeistopened/skill-stack --skill podcast-productiongit clone --depth 1 https://github.com/cdeistopened/skill-stackWrote 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/cdeistopened/skill-stack/podcast-production)<a href="https://agentmods.dev/skills/cdeistopened/skill-stack/podcast-production"><img src="https://agentmods.dev/badge/skills/cdeistopened/skill-stack/podcast-production.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00036 | $0.03994 |
| Opus 5 | $0.00018 | $0.01997 |
| Sonnet 5 | $0.00007 | $0.00799 |
| Haiku 4.5 | $0.00004 | $0.00399 |
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 3d 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 — 423 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Podcast Production Skill
Overview
Transform a raw podcast transcript into polished, multi-platform content assets through four strategic checkpoints. Each checkpoint delivers decision-ready analysis in a markdown file for your feedback before proceeding. You'll provide feedback directly in the checkpoint documents, then we'll iterate before moving to the next phase. Final outputs include publication-ready YouTube strategy and a narrative-driven blog post.
Workflow Structure:
- Start with
[Guest]_Source_Material.md(raw transcript + notes) - Create
Checkpoint_1_Story_Discovery.md(your feedback here) - Create
Checkpoint_2_Cold_Opens_and_Clips.md(your feedback here) - Create
Checkpoint_3_YouTube_Strategy.md(your feedback here) - Create
Checkpoint_4_Polished_Transcript_and_Blog.md(final deliverable)
When to Use This Skill
- You have a raw podcast transcript and need to identify the strongest marketing angle
- You want to create a cold open that hooks listeners immediately
- You need YouTube titles and thumbnail strategies
- You're creating social clips from podcast material
- You want to create SEO-optimized blog content from the episode
- You want all assets aligned with your brand identity
THE FOUR CHECKPOINTS
Checkpoint 1: Story Discovery (90-120 min)
Goal: Find the primary story arc that will anchor all episode assets.
Method: Narrative Snippets - mine the transcript for story beats, not just "big ideas."
The Reframe:
- Old approach: List "Big Ideas" → Find clips to illustrate them
- New approach: Find the STORY → The big idea emerges from the story's insight beat
Your deliverable: Checkpoint_1_Story_Discovery.md
What it contains:
- 2-3 Story Arcs identified (6-beat structure)
- Primary Arc selected with rationale
- The Big Idea (derived from Insight/Reflection beats)
- Preview of derived assets (cold open direction, title direction)
- Chapter Outline (timestamped)
- Quote Bank (organized by story beat)
What ships with it
7 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.
- 3d ago First seen · 423 lines · 36 tokens per session scan A a63598f70173
podcast-production is a skill published in the GitHub repository cdeistopened/skill-stack (27 stars, last pushed 1mo ago), licensed MIT. It adds 36 tokens to every session and 3,994 once invoked, about $0.0002 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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