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 travisjneuman/.claude --skill podcast-producergit clone --depth 1 https://github.com/travisjneuman/.claudeWrote 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/travisjneuman/.claude/podcast-producer)<a href="https://agentmods.dev/skills/travisjneuman/.claude/podcast-producer"><img src="https://agentmods.dev/badge/skills/travisjneuman/.claude/podcast-producer/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/travisjneuman/.claude/podcast-producer"><img src="https://agentmods.dev/badge/skills/travisjneuman/.claude/podcast-producer.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 | $0.00039 | $0.03193 |
| Opus 5.5 | $0.00016 | $0.01277 |
| Sonnet 5.5 | $0.00008 | $0.00639 |
| Haiku 4.5 | $0.00004 | $0.00319 |
Grade A, and why
podcast-producer 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 17d 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 — 341 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Podcast Producer
Comprehensive frameworks for launching, producing, and growing podcasts across all stages of production.
Podcast Launch Checklist
Pre-Launch (8-12 Weeks Before Episode 1)
- Define podcast concept, niche, and target audience
- Choose podcast name (check availability across platforms)
- Write podcast description (150-250 words, keyword-rich)
- Select format: solo, co-hosted, interview, narrative, panel
- Decide episode cadence: weekly, biweekly, monthly
- Determine episode length target (see table below)
- Purchase domain and set up website
- Design cover art (3000x3000px, readable at 55x55px)
- Record intro/outro music or commission original
- Choose hosting platform (see comparison below)
- Set up recording environment and equipment
- Record and edit 3-5 episodes before launch (backlog)
Launch Week
- Submit RSS feed to all major directories
- Publish 3 episodes simultaneously on launch day
- Announce on all social media channels
- Send launch email to personal and professional networks
- Ask early listeners for ratings and reviews
- Set up analytics tracking
Recommended Episode Length by Format
| Format | Target Length | Audience Expectation |
|---|---|---|
| Daily News | 5-15 min | Quick, digestible |
| Solo/Tips | 15-30 min | Focused, actionable |
| Interview | 30-60 min | In-depth conversation |
| Co-hosted | 30-60 min | Dynamic discussion |
| Narrative | 20-45 min | Story-driven, produced |
| Panel | 45-75 min | Multiple perspectives |
| Deep Dive | 60-120 min | Comprehensive exploration |
Episode Planning Template
EPISODE PLANNING:
Episode #: ___
Title: _______________________________________________
Publish Date: ___/___/___
Status: [ ] Planned [ ] Recorded [ ] Edited [ ] Published
TOPIC:
Main topic: _________________________________________
Angle / Hook: _______________________________________
Target audience segment: ____________________________
Key takeaway for listener: __________________________
OUTLINE:
1. Cold Open / Hook (30-60 sec)
- Compelling question, stat, or story
2. Intro + Episode Overview (1-2 min)
- Intro music
- Welcome, episode number, topic preview
- Sponsor message #1 (if applicable)
3. Segment 1: _________________ (X min)
- Key point A
- Key point B
- Supporting example or story
4. Segment 2: _________________ (X min)
- Key point C
- Key point D
- Data, research, or case study
5. Segment 3: _________________ (X min)
- Key point E
- Practical application / how-to
- Sponsor message #2 (if applicable)
6. Recap + Call to Action (2-3 min)
- Summary of key takeaways
- CTA: subscribe, review, share, visit link
- Tease next episode
7. Outro (30 sec)
- Outro music
- Credits
RESOURCES TO MENTION:
- Link 1: ___________________
- Link 2: ___________________
- Book/Article: ______________
RECORDING NOTES:
- Estimated recording time: ___ min
- Target final length: ___ min
- Special editing notes: ____________________________
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.
- 17d ago First seen · 341 lines · 39 tokens per session scan A 7050e93abf4e
podcast-producer is a skill published in the GitHub repository travisjneuman/.claude (101 stars, last pushed today), licensed MIT. It adds 39 tokens to every session and 3,193 once invoked, about $0.0002 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 2026-09-30.
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