Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add team-attention/plugins-for-claude-natives/plugin install podcastWrote 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/team-attention/plugins-for-claude-natives/podcast)<a href="https://agentmods.dev/skills/team-attention/plugins-for-claude-natives/podcast"><img src="https://agentmods.dev/badge/skills/team-attention/plugins-for-claude-natives/podcast/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/team-attention/plugins-for-claude-natives/podcast"><img src="https://agentmods.dev/badge/skills/team-attention/plugins-for-claude-natives/podcast.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00126 | $0.01651 |
| Opus 5 | $0.00063 | $0.00826 |
| Sonnet 5 | $0.00025 | $0.00330 |
| Haiku 4.5 | $0.00013 | $0.00165 |
Grade A, and why
podcast 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 11d 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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Podcast Generator
Analyze sources, generate a Korean podcast script, produce audio via OpenAI TTS, and auto-upload to YouTube.
Pipeline
[Source Collection] → [Analysis/Fusion] → [Script Writing] → [TTS Generation] → [MP4 Conversion] → [YouTube Upload]
Step 1: Source Collection & Analysis
Collect and analyze user-provided sources. Processing by type:
- URL/Article: WebFetch or subagent for full text
- Tweet/X post: Use WebFetch with
api.fxtwitter.com(replace domain in X/Twitter URL) - PDF: Read tool directly
- GitHub repo: Clone and analyze structure (use subagent)
- Conversation context: Reuse content already analyzed in current session
When 2+ sources are provided, always spawn parallel subagents for each.
Step 2: Script Writing
Structure (8-12 min, 3000-5000 chars)
# [Episode Title]
> [Duration] podcast script | [Date]
> Sources: [source list]
---
## Opening (1 min)
- Hook: one sentence on why this topic matters
- Introduce sources
- Lead with conclusion (state core message upfront)
## Body Part 1 (3 min)
- Deep analysis of first source/perspective
## Body Part 2 (3 min)
- Deep analysis of second source/perspective
## Fusion/Intersection (3 min)
- Emergent insights from combining sources
- Patterns, commonalities, contrasts
- Generalizable implications
## Closing (30 sec)
- One-sentence summary of core message
- Sign-off
Script Writing Principles
- Write as you speak: conversational Korean ("~입니다", "~거죠", "~인데요")
- Numbers in Korean: "267K" → "이십육만", "$75,000" → "칠만오천 달러"
- English names in Korean pronunciation: "Garry Tan" → "개리 탄"
- No tables or code blocks: TTS cannot read them. Convert table content to sentences
- Shift tone for quotes: "개리 탄 본인이 이렇게 말합니다." to create distinction
- Short sentences: keep each sentence under 50 characters
File Layout
<output-dir>/
├── script.md ← Script
├── episode.mp3 ← Audio
├── episode.mp4 ← Video (for YouTube)
└── metadata.json ← Title, description, tags, YouTube URL
What ships with it
3 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.
- 11d ago First seen · 181 lines · 126 tokens per session scan A aafb1fd953f3
podcast is a skill published in the GitHub repository team-attention/plugins-for-claude-natives (824 stars, last pushed 4mo ago), licensed MIT. It adds 126 tokens to every session and 1,651 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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