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 tkcostello/pastor-ai-skills --skill sermon-to-youtubegit clone --depth 1 https://github.com/tkcostello/pastor-ai-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/tkcostello/pastor-ai-skills/sermon-to-youtube)<a href="https://agentmods.dev/skills/tkcostello/pastor-ai-skills/sermon-to-youtube"><img src="https://agentmods.dev/badge/skills/tkcostello/pastor-ai-skills/sermon-to-youtube/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/tkcostello/pastor-ai-skills/sermon-to-youtube"><img src="https://agentmods.dev/badge/skills/tkcostello/pastor-ai-skills/sermon-to-youtube.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 | $0.00033 | $0.02225 |
| Opus 5 | $0.00016 | $0.01112 |
| Sonnet 5 | $0.00007 | $0.00445 |
| Haiku 4.5 | $0.00003 | $0.00222 |
Grade A, and why
sermon-to-youtube 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 13d 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 — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sermon to YouTube
Upload your sermon so people actually find it.
Before writing: follow the pastor-foundation skill and load the church profile from
~/.claude/pastor-profile.md. If the profile file is missing, run the pastor-setup skill first.
What This Skill Does
You uploaded your sermon to YouTube. Maybe you titled it "Sunday Service 4/6/26" and called it a day. Maybe it's been sitting at 14 views for six months, mostly from your mom and one guy from the prayer chain.
YouTube is the second-largest search engine in the world. People search it every day for answers to the exact questions your sermon addressed. The gap between "no one finds this" and "hundreds of people find this" is not production value. It is optimization.
This skill takes your sermon title and transcript and produces a complete, ready-to-upload YouTube package: titles that rank, a description that works, tags that matter, thumbnail concepts a designer can execute, and one short-form clip worth pulling immediately.
Input
Provide the following:
- Sermon title (working title or series title is fine, it will be improved)
- Sermon transcript (full preferred; partial works if it covers the key moments)
- Optional: Approximate sermon length in minutes (used to estimate timestamps)
If you have a YouTube channel description or your church's standard "about" text, include it. It will be used in the description's about section.
Workflow
Step 1: Analyze the Sermon
Before generating anything, read the transcript and identify:
- Core topic. One sentence. What question does this sermon answer, or what truth does it establish?
- Key moments. The 4-8 most distinct movements: opening, first major point, story/illustration, scripture exposition, application, call to action, close. These become timestamps.
- Emotional peaks. Where does the content hit hardest? The story that lands. The turn. The line people write down. These are short-form candidates.
- Searchable angles. What would someone type into YouTube to find this sermon? Think: "how to trust God when life falls apart," "what does the Bible say about anxiety," "Romans 8 explained." Not "Week 4: Anchor Series."
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.
- 13d ago First seen · 211 lines · 0 tokens per session scan A c29f5c5925ee
sermon-to-youtube is a skill published in the GitHub repository tkcostello/pastor-ai-skills (52 stars, last pushed 15d ago), licensed MIT. It adds 33 tokens to every session and 2,225 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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