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/cwinvestments/memstack/youtube-scriptnpx skills add cwinvestments/memstack --skill youtube-scriptgit clone --depth 1 https://github.com/cwinvestments/memstackWhat 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 | $0.00070 | $0.03436 |
| Opus 5 | $0.00035 | $0.01718 |
| Sonnet 5 | $0.00014 | $0.00687 |
| Haiku 4.5 | $0.00007 | $0.00344 |
Grade A, and why
memstack-content-youtube-script 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 2d 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 — 386 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🎬 YouTube Script — Writing retention-optimized video script...
Produces a timestamped video script with hook, retention techniques, visual directions, SEO metadata, and thumbnail concept — optimized for YouTube's algorithm.
Activation
When this skill activates, output:
🎬 YouTube Script — Gathering topic and audience details...
Then execute the protocol below.
| Context | Status |
|---|---|
| User says "write youtube script" or "youtube script" | ACTIVE |
| User says "video script" or "write script for video" | ACTIVE |
| Creating a scripted video for YouTube or video platform | ACTIVE |
| Writing a blog post (not video) | DORMANT — use blog-post |
| Writing a podcast outline | DORMANT |
| Discussing YouTube strategy at a high level | DORMANT |
Anti-patterns
| Trap | Reality Check |
|---|---|
| "Start with an intro about who I am" | Viewers don't care who you are until you've hooked them. Identity comes after value. |
| "Cover everything about the topic" | YouTube rewards depth on one angle, not breadth across many. Pick one promise and deliver it fully. |
| "The content speaks for itself" | Retention techniques (open loops, pattern breaks) keep viewers watching. Great content with poor pacing loses to good content with great pacing. |
| "I'll figure out the visuals during editing" | Script the visuals alongside the words. B-roll and graphics are planned, not improvised. |
| "Thumbnails are just screenshots" | The thumbnail is 50% of click-through rate. Design it before filming — it shapes the video's angle. |
Protocol
Step 1: Gather Video Details
If the user hasn't provided details, ask:
I need a few details for the script:
- Topic — what's this video about?
- Target viewer — who is watching? (beginner dev, business owner, tech enthusiast, etc.)
- Video length goal — short (5-8 min), standard (10-15 min), long-form (20+ min)?
- CTA goal — what should viewers do? (subscribe, click a link, watch next video, buy)
- Channel context — is this part of a series? What's the channel about?
- Presentation style — talking head, screencast, voiceover with visuals, mixed?
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.
- 2d ago First seen · 386 lines · 70 tokens per session scan A 8372dfb20cf1
memstack-content-youtube-script is a skill published in the GitHub repository cwinvestments/memstack (417 stars, last pushed 5d ago), licensed MIT. It adds 70 tokens to every session and 3,436 once invoked, about $0.0003 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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