Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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/dasein108/slope-studio/youtube-branding)<a href="https://agentmods.dev/skills/dasein108/slope-studio/youtube-branding"><img src="https://agentmods.dev/badge/skills/dasein108/slope-studio/youtube-branding/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/dasein108/slope-studio/youtube-branding"><img src="https://agentmods.dev/badge/skills/dasein108/slope-studio/youtube-branding.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 | $0.00099 | $0.01537 |
| Opus 5 | $0.00049 | $0.00768 |
| Sonnet 5 | $0.00020 | $0.00307 |
| Haiku 4.5 | $0.00010 | $0.00154 |
Grade A, and why
youtube-branding 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
youtube-branding
The channel-identity lego-block of the marketing-guru family. Before you ideate
and deploy videos (marketing-ideate → marketing-deploy), a channel needs a face:
this skill turns a name + slogan + niche into a full, upload-ready brand kit.
| Asset | Size | YouTube use |
|---|---|---|
banner.png |
2560×1440 | Channel banner (art + exact wordmark in the safe area) |
profile.png |
1024×1024 | Channel profile picture / avatar |
logo.png |
1024² transparent | Branding master (transparent PNG) |
logo_512.png |
512² transparent | Watermark to overlay ON videos |
brand.md |
— | Channel keywords + description (copy-paste) |
Where it sits in the growth loop (see marketing-guru):
[ youtube-branding ] → IDEATE → BACKLOG → DEPLOY → MEASURE → LEARN
(channel setup, (what to make & how it does, per channel)
once / on rebrand)
How it works — division of labour
The mechanical pipeline lives in the studio package (studio/marketing/brand.py)
and is driven by the studio brand <spec.json> CLI command. It:
- requests the art text-free from Nano Banana, then Pillow-overlays the wordmark in YouTube's safe area (never trust the image model to spell),
- cuts the logo to transparency with rembg, and cover-crops to upload sizes.
You (the agent) author the brand identity — palette, emblem concept, banner scene — into a brand-spec JSON. That creative judgement is the whole job; the CLI is just I/O.
Workflow
0. Setup (once)
cd /Users/dasein/dev/slope-studio
source .venv/bin/activate 2>/dev/null || { uv venv && source .venv/bin/activate && uv pip install -e ".[fal]"; }
grep -q FAL_KEY .env && echo "FAL_KEY ok" || echo "MISSING FAL_KEY — set it in .env (needed for real art)"
1. Gather inputs
You need: channel name, slogan, and the niche/aesthetic. If the aesthetic is unstated, infer one from the niche (don't over-ask) — pick a palette + a single repeatable motif/emblem that ties avatar↔logo.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 108 lines · 0 tokens per session scan A abe95a42d469
youtube-branding is a skill published in the GitHub repository dasein108/slope-studio (3 stars, last pushed 1mo ago), licensed MIT. It adds 99 tokens to every session and 1,537 once invoked, about $0.0005 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 2026-08-31.
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