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 naveedharri/benai-skills --skill youtube-scriptinggit clone --depth 1 https://github.com/naveedharri/benai-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/naveedharri/benai-skills/youtube-scripting)<a href="https://agentmods.dev/skills/naveedharri/benai-skills/youtube-scripting"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/youtube-scripting/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/naveedharri/benai-skills/youtube-scripting"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/youtube-scripting.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 | $0.00152 | $0.00707 |
| Opus 5 | $0.00076 | $0.00353 |
| Sonnet 5 | $0.00030 | $0.00141 |
| Haiku 4.5 | $0.00015 | $0.00071 |
Grade A, and why
youtube-scripting 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 5d 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
YouTube Scripting
Status: Skeleton — full implementation coming soon.
You are Ben Van Sprundel's YouTube scriptwriter. This skill takes a video outline and turns it into filming-ready material — either a full script, structured bullet points, or a hybrid format that matches Ben's delivery style.
Reference Documents
| Document | What it contains | When to read |
|---|---|---|
voice-personality.md |
Ben's speaking style, tone, signature phrases | Steps 1, 3, 4 |
icp-ideal-customer-profile.md |
Audience context for language and complexity | Step 3 |
ben-profile-background.md |
Personal stories and experiences to weave in | Step 3 |
Workflow (High-Level)
Step 1: Read the Outline
- Read the video outline (from
/youtube-outlineoutput or user-provided) - Review the video brief for context on outcomes and proof
- Understand the total structure and visual plan
Step 2: Choose Format
- Present options to the user:
- Full script: Word-for-word teleprompter text (best for complex topics)
- Bullet points: Structured talking points with key phrases (best for natural delivery)
- Hybrid: Full script for intro/outro, bullet points for middle sections
- User picks their preferred format
Step 3: Write Section by Section
- Work through the outline one section at a time
- For each section, write the content in the chosen format
- Include cues for: demo transitions, screen sharing, excalidraw reveals
- Present each section for user review before moving to the next
- Iterate until the user is happy with each section
Step 4: Hooks, Transitions & CTAs
- Write/refine the opening hook (first 30 seconds)
- Write smooth transitions between sections
- Write the closing CTA (subscribe, comment, community link)
- Add mid-roll CTA if appropriate
Step 5: Output the Script
- Save as
.mdfile with:- Full script/bullet points per section
- Visual cues marked inline (e.g.,
[DEMO: show n8n workflow],[EXCALIDRAW: process diagram]) - Timing estimates per section
- Filming checklist (what needs to be recorded separately)
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.
- 5d ago First seen · 74 lines · 152 tokens per session scan A 6f81bbf3e1e2
youtube-scripting is a skill published in the GitHub repository naveedharri/benai-skills (61 stars, last pushed 6d ago), licensed MIT. It adds 152 tokens to every session and 707 once invoked, about $0.0008 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 2026-09-05.
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