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 logo-revealgit 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/logo-reveal)<a href="https://agentmods.dev/skills/ucsandman/marketing-studio/logo-reveal"><img src="https://agentmods.dev/badge/skills/ucsandman/marketing-studio/logo-reveal/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/logo-reveal"><img src="https://agentmods.dev/badge/skills/ucsandman/marketing-studio/logo-reveal.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 | $0.00049 | $0.00481 |
| Opus 5 | $0.00024 | $0.00241 |
| Sonnet 5 | $0.00010 | $0.00096 |
| Haiku 4.5 | $0.00005 | $0.00048 |
Grade A, and why
logo-reveal 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 4d 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
Logo Reveal
REQUIRED BACKGROUND: marketing-studio skill (engine location, brand onboarding);
also read ${CLAUDE_SKILL_DIR}/../../docs/playbook/blender.md and
${CLAUDE_SKILL_DIR}/../../docs/playbook/remotion.md. Work happens in
${CLAUDE_SKILL_DIR}/../...
Produces a product-owned logo animation under
<product>/marketing/assets/<brand>/. The mark's construction, product verb, material,
or environment determines the reveal; a generic glow-and-hold is not the default.
Recipe
- Toolchain + brand check per marketing-studio (onboard the brand first if new).
- Blender scene:
feeders/blender/scenes/logo_reveal_<brand>.py. If missing, copylogo_reveal.py(noban) and swap ONLY the geometry builders to the new mark's SVG shapes — materials/choreography/camera/alpha/args are brand-agnostic. Read${CLAUDE_SKILL_DIR}/../../docs/playbook/blender.mdFIRST (cleanup, emission 1.0, non-cyclic splines). - Proof frames:
python feeders/blender/render.py <scene> --brand <brand> --project <product> --frame 20|55|90, Read each; verify draw-on progression + transparent alpha (corner pixel alpha 0). - Animation render (
--animation, ~30s), thennode scripts/stage-blender-assets.mjs <brand> --project <product>; product assets and public staging stay in the same product workspace. - Composite: render the
LogoRevealcomposition with product-owned props, output, and--public-dir=<product>/marketing/assets/<brand>/public. Inspect stills at frames 30/80/130 (mid-draw / wordmark in / full lockup, CTA in the brand's accent-positive color). - Deliver the product-owned artifact per marketing-studio.
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.
- 4d ago Changed · +2 lines fd4458ff877a
- 5d ago Changed · +1 lines 2a554fda7cc7
- 11d ago First seen · 31 lines · 49 tokens per session scan A f581fc79b0b8
logo-reveal is a skill published in the GitHub repository ucsandman/marketing-studio (237 stars, last pushed 5d ago), licensed MIT. It adds 49 tokens to every session and 481 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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