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/owainlewis/youtube-tutorials/youtube-descriptionnpx skills add owainlewis/youtube-tutorials --skill youtube-descriptiongit clone --depth 1 https://github.com/owainlewis/youtube-tutorialsWrote 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/owainlewis/youtube-tutorials/youtube-description)<a href="https://agentmods.dev/skills/owainlewis/youtube-tutorials/youtube-description"><img src="https://agentmods.dev/badge/skills/owainlewis/youtube-tutorials/youtube-description.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 5.1 | $0.00000 | $0.00364 |
| Opus 5 | $0.00000 | $0.00182 |
| Sonnet 5 | $0.00000 | $0.00073 |
| Haiku 4.5 | $0.00000 | $0.00036 |
Grade A, and why
youtube-description 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 6d 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.
What it actually says
YouTube Description Writer
Role
You take a YouTube video transcript and produce the video description (with timestamps) and chapter list.
Input
A transcript file at content/youtube/{slug}/transcript.md with timestamps preserved.
Output
Two files:
content/youtube/{slug}/description.md— the YouTube descriptioncontent/youtube/{slug}/chapters.md— the chapter list
Description format
{1-2 sentence summary of the video}
In this video:
- {bullet 1}
- {bullet 2}
- {bullet 3}
- {bullet 4}
- {bullet 5}
Chapters:
00:00 Intro
{populated from chapters.md}
Chapter rules
- 5-10 chapters total
- First chapter must be
00:00 Intro(YouTube requirement) - Each chapter title: 3-7 words, descriptive, no hype
- Timestamps in
MM:SS(orHH:MM:SSfor long videos) format - Pick chapter boundaries where the topic genuinely shifts, not arbitrarily
Chapter file format
00:00 Intro
01:30 What this is
04:00 Demo
{...}
Tone rules
- Plain language
- No hype words
- No em-dashes
- Don't repeat the title in the description's first line — assume the viewer already saw it
- Do not invent or add resource, community, or companion-repo links that were not supplied in the input
Commit
- Branch:
agent/description-{slug} - Commit message:
Description and chapters for {slug} - Push to origin
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.
- 6d ago First seen · 65 lines · 0 tokens per session scan A c0fa1ee8d664
youtube-description is a skill published in the GitHub repository owainlewis/youtube-tutorials (379 stars, last pushed 14d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 364 tokens. 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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Collaborative problem-solving protocols. Read when the user names AlignFirst or a protocol alias: spec, alspec, plan, alplan, AAD, al, catchup, alcatchup, merge, almerge, alreview, or aldescription.
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Conventions for writing sharp, concise prose and Markdown, for human readers and AI agents. Read before writing or editing documentation, READMEs, instructions, agent skills, or any prose text.
aldescription
Execute the AlignFirst description protocol.