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 ucsandman/marketing-studio --skill og-assetsgit clone --depth 1 https://github.com/ucsandman/marketing-studioWrote 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/ucsandman/marketing-studio/og-assets)<a href="https://agentmods.dev/skills/ucsandman/marketing-studio/og-assets"><img src="https://agentmods.dev/badge/skills/ucsandman/marketing-studio/og-assets/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/ucsandman/marketing-studio/og-assets"><img src="https://agentmods.dev/badge/skills/ucsandman/marketing-studio/og-assets.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 | $0.00047 | $0.00518 |
| Opus 5 | $0.00023 | $0.00259 |
| Sonnet 5 | $0.00009 | $0.00104 |
| Haiku 4.5 | $0.00005 | $0.00052 |
Grade A, and why
og-assets 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 3d 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.
What it actually says
OG Assets
REQUIRED BACKGROUND: marketing-studio skill; also read
${CLAUDE_SKILL_DIR}/../../docs/playbook/remotion.md. Work in ${CLAUDE_SKILL_DIR}/../...
Produces product-owned og.mp4, og.gif, readme.gif, and social-card exports under
<product>/marketing/assets/<brand>/, optionally backed by an approved ComfyUI texture.
Recipe
- Toolchain + brand check per marketing-studio. Background loop staged for the brand
(Blender
background_loopscene; seam rules in${CLAUDE_SKILL_DIR}/../../docs/playbook/remotion.md) — or run with it null. - Optional AI hero:
node feeders/comfy/client.mjs hero --project <product> --brand <brand> [--seed N](needs ComfyUI Desktop up + a checkpoint; exit 2 = fine, procedural fallback is spec-compliant). Read the hero PNG: dark, on-brand hue, no text/people/off-brand colors; re-roll seeds until it passes. Prompt lives in the client; adapt per brand. - Run the brand's statics renderer with
--project <product>; it writes product-owned props/output and passes the workspace public directory to Remotion. The AnimatedOG loop is SEAMLESS by construction — if you touch the template, every animated value must stay periodic over the full duration (loop rules in${CLAUDE_SKILL_DIR}/../../docs/playbook/remotion.md). - Verify one still (lockup sharp, CTA in the brand's positive color) + readme.gif legibility (extract frame 0 via ffmpeg if the gif exceeds Read limits).
- Size check: GIFs are heavy; prefer og.mp4 for social embeds. For READMEs going to
GitHub keep the gif under ~10MB (
--every-nth-frame=3, lower--scale). - Run
verify-og-wired <brand> --project <product>after deployment, then deliver per marketing-studio. This is a live wiring check, not permission to deploy.
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.
- 3d ago Changed · +3 lines 85923df273e8
- 4d ago Changed · +2 lines d3149aca812d
- 10d ago First seen · 29 lines · 47 tokens per session scan A eef04b8aef11
og-assets is a skill published in the GitHub repository ucsandman/marketing-studio (234 stars, last pushed 4d ago), licensed MIT. It adds 47 tokens to every session and 518 once invoked, about $0.0002 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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