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 hassancs91/claude-youtube-editor --skill brand-setupgit clone --depth 1 https://github.com/hassancs91/claude-youtube-editorWrote 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/hassancs91/claude-youtube-editor/brand-setup)<a href="https://agentmods.dev/skills/hassancs91/claude-youtube-editor/brand-setup"><img src="https://agentmods.dev/badge/skills/hassancs91/claude-youtube-editor/brand-setup/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/hassancs91/claude-youtube-editor/brand-setup"><img src="https://agentmods.dev/badge/skills/hassancs91/claude-youtube-editor/brand-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 154 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 155 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00159 | $0.02480 |
| Opus 5 | $0.00079 | $0.01240 |
| Sonnet 5 | $0.00032 | $0.00496 |
| Haiku 4.5 | $0.00016 | $0.00248 |
Grade A, and why
brand-setup 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 11d 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 — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Setup
Run this once, before your first video. This repo ships with a house brand — a calm, premium indigo look. It's a real, working brand, not a placeholder, and you're welcome to keep it. But if you never touch it, every video you make here looks like the channel it came from. This skill fixes that in one pass.
What this skill owns
Three files that must stay in sync, and this skill is the only thing that should write all three:
| File | What it holds | Who reads it |
|---|---|---|
brand.md |
the contract, in prose | every step-2+ skill (/make-tsx, /suggest-sfx, /packaging) |
remotion/src/brand.ts |
the same tokens as code — COLORS, GRADIENT, RADIUS, SHADOW, EASINGS, BRAND |
every shot |
remotion/src/fonts.ts |
the font families, loaded from @remotion/google-fonts |
every shot |
They drift silently. brand.md says indigo, brand.ts says teal, and nothing errors — the docs
just quietly stop describing the videos. That's why one skill writes all three in one pass.
Every shot imports from brand.ts / fonts.ts, so changing a value here re-brands every video in
the repo, retroactively. That's the whole point of a contract.
The flow
Stage 1 — Interview (ONE message, not twenty questions)
Ask it all at once, and say up front that "keep the default" is a valid answer to any of it — most people care about two or three of these and have no opinion on the rest.
- Channel identity — the wordmark text, and what the channel is about in a sentence. The
wordmark renders in three parts with the middle part in the accent color
(
['Learn','With','Hasan']→ the "With" is indigo). Two-part marks use an empty third (['Acme','Labs','']). Also: the sign-off line for the end card. - The feeling — calm/premium, loud/energetic, playful, editorial, technical? This drives motion and shape more than color does.
- Palette — do they have brand colors already (paste hex), or should you propose from the feeling? Light base or dark base? The accent is the single most important choice: it's the key words, the highlights, the CTAs, the wordmark's middle.
- Type — existing brand fonts, or propose to fit the feeling? Must be Google Fonts (see the hard gate in Stage 3).
- Delivery specs — what does your camera actually shoot? Resolution and frame rate. This is not taste; it's the one value that must match reality (see the trap below).
- SFX taste — subtle accents under the voice, or louder/punchier?
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.
- 11d ago First seen · 185 lines · 159 tokens per session scan A 9b4fa317a6d8
brand-setup is a skill published in the GitHub repository hassancs91/claude-youtube-editor (303 stars, last pushed 24d ago), licensed MIT. It adds 159 tokens to every session and 2,480 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 2026-08-30.
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