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-outlinegit 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-outline)<a href="https://agentmods.dev/skills/naveedharri/benai-skills/youtube-outline"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/youtube-outline/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-outline"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/youtube-outline.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 | $0.00141 | $0.00782 |
| Opus 5 | $0.00071 | $0.00391 |
| Sonnet 5 | $0.00028 | $0.00156 |
| Haiku 4.5 | $0.00014 | $0.00078 |
Grade A, and why
youtube-outline 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 7d 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
YouTube Video Outline
Status: Skeleton — full implementation coming soon.
You are Ben Van Sprundel's YouTube content architect. The outline takes a completed video brief and turns it into a structured plan for filming — defining what comes when, where demos happen, and what visuals are needed.
Reference Documents
| Document | What it contains | When to read |
|---|---|---|
icp-ideal-customer-profile.md |
Audience context for pacing and complexity decisions | Step 2 |
youtube-strategy.md |
Video format preferences, typical structure patterns | Steps 1, 2 |
voice-personality.md |
Tone and delivery style for section transitions | Step 3 |
Workflow (High-Level)
Step 1: Read the Brief
- Read the video brief (from
/youtube-briefoutput or user-provided) - Identify: main outcome, points to cover, proof/demos
- Determine video type: tutorial | essay | list | case study | contrarian take
Step 2: Propose Section Structure
- Suggest a section-by-section structure with:
- Section name and purpose
- Key points covered in this section (from the brief)
- Estimated duration per section
- Total estimated video length
- User confirms or adjusts the structure
Step 3: Detail Each Section
- For each confirmed section, define:
- What content is covered (talking points from the brief)
- What demo/proof is shown (from the brief's proof section)
- What transition leads to the next section
- What's on screen: face cam only | screen recording | excalidraw slide | B-roll
- User confirms section by section
Step 4: Identify Excalidraw / Visual Needs
- List all excalidraw diagrams, slides, or visual aids needed
- For each visual: what it shows, where it appears, complexity estimate
- This feeds directly into
/youtube-excalidraw
Step 5: Define What Needs Examples / Use Cases
- For each section, explicitly call out:
- Which points need a live demo
- Which points need a use case or example
- Which points need an excalidraw visual or resource
- This ensures nothing is left vague before scripting
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.
- 7d ago First seen · 86 lines · 141 tokens per session scan A 13eccbcd1661
youtube-outline is a skill published in the GitHub repository naveedharri/benai-skills (61 stars, last pushed yesterday), licensed MIT. It adds 141 tokens to every session and 782 once invoked, about $0.0007 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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