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 matteotitta/genesys-skills --skill youtube-scriptsgit clone --depth 1 https://github.com/matteotitta/genesys-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/matteotitta/genesys-skills/youtube-scripts)<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/youtube-scripts"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/youtube-scripts/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/matteotitta/genesys-skills/youtube-scripts"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/youtube-scripts.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 | $0.00023 | $0.01934 |
| Opus 5 | $0.00012 | $0.00967 |
| Sonnet 5 | $0.00005 | $0.00387 |
| Haiku 4.5 | $0.00002 | $0.00193 |
Grade A, and why
youtube-scripts 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 9d 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
YouTube Scripts
Generate retention-optimized YouTube scripts that treat video content as a lifecycle system, not a one-time event. Every script ships with hook options, timing markers, body framework, retention hooks every 2-3 minutes, single-CTA outro, and supporting assets (3 titles under 60 chars, 2-3 thumbnail concepts, SEO description with timestamps, pinned comment). Research source is Exa per .claude/rules/exa-protocol.md — primary tool web_search_exa for fact-checking and B-roll references; cite per ontology with [VERIFIED: exa_search, {url}, accessed YYYY-MM-DD]; ≥3 sources per major claim, ≥50% verified, no fallback to WebSearch without flagging the data gap.
Doctrine inherited (Step 7 — 0626 rollout, locked 2026-06-04)
Output complies with output-tenets.md, output-simplicity.md, ai-speak-anti-patterns.md. Step 6 calibration: see [[feedback_execution_doctrine_refinements_step6]].
Refinements applied: R1 (script body has no inline source tags — researcher-facing notes only; rendered video has no source frames), R3 (script voice operator-direct, never "thrilled to bring you"), R6 (single-CTA outro → sign-up primary for cold, product-action for warm), R9 (verb-led hook + retention beat names).
When to run
Invoke when the user says: "Write a YouTube script", "Create video script for [topic]", "YouTube video outline", "Script for YouTube about [topic]", "Video content script", "Help me script a video", "YouTube hooks for [topic]", "Video intro script".
Do NOT invoke for:
- LinkedIn video content →
linkedin-content - Podcast scripts → handle directly
- Written articles →
aeo-content - Presentation slides →
sales-enablement
Inputs
Required: topic, angle/perspective, target viewer, key message (one sentence). Optional (improve quality): brand voice, existing content, SEO keywords, competitor videos, desired length, proof points (specific results / case studies / data).
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.
- 9d ago First seen · 127 lines · 100 tokens per session scan A 55096477f3db
youtube-scripts is a skill published in the GitHub repository matteotitta/genesys-skills (36 stars, last pushed 1mo ago), licensed MIT. It adds 23 tokens to every session and 1,934 once invoked, about $0.0001 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 2026-09-03.
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