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 social-clipgit 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/social-clip)<a href="https://agentmods.dev/skills/ucsandman/marketing-studio/social-clip"><img src="https://agentmods.dev/badge/skills/ucsandman/marketing-studio/social-clip/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/social-clip"><img src="https://agentmods.dev/badge/skills/ucsandman/marketing-studio/social-clip.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 | $0.00048 | $0.00433 |
| Opus 5 | $0.00024 | $0.00217 |
| Sonnet 5 | $0.00010 | $0.00087 |
| Haiku 4.5 | $0.00005 | $0.00043 |
Grade A, and why
social-clip 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
Social Clip
REQUIRED BACKGROUND: marketing-studio skill; also read
${CLAUDE_SKILL_DIR}/../../docs/playbook/remotion.md. Work in ${CLAUDE_SKILL_DIR}/../...
Produces a scored short-form asset in <product>/marketing/assets/<brand>/. Its opening,
aspect-specific composition, and CTA must serve the platform rather than repeat the
launch film's end card by default.
Recipe
- Toolchain + brand check per marketing-studio.
- Put approved capture/source media under the product workspace's
public/<brand>/tree using a repeatable product-aware feeder. The SocialClip panel zooms into it — tune thezoom {from,to,origin}so the crop ends BEFORE any app-side clipped edge and the money-shot column/element is the rightmost thing in frame. - Product-owned props file matching
socialClipSchema({brandId, kicker, headline, lines (1-4), screenshot, cta}). Copy: terse, factual, brand voice, no em dashes. - Proof stills at frames 45/150/280 (headline / panel+lines / end card), Read each, iterate copy + zoom until intentional.
- Render into the product workspace with the product props and
--public-dir=<product>/marketing/assets/<brand>/public. - Score it (mandatory: SocialClip renders silent and a silent clip is not
deliverable): run
score-social-clipwith--project <product>and the one narration line that matches the plate. Cuts alone do not justify generic SFX. node scripts/check-audio.mjs <brand> --project <product>exits 0, then deliver the scored file 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 · +1 lines 754bf56106a7
- 5d ago Changed · +1 lines dbe290e8aa65
- 6d ago Changed · +5 lines 827b7f4db674
- 11d ago First seen · 27 lines · 48 tokens per session scan A de02a247208e
social-clip is a skill published in the GitHub repository ucsandman/marketing-studio (237 stars, last pushed 5d ago), licensed MIT. It adds 48 tokens to every session and 433 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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