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 calesthio/generative-media-skills --skill ugc-ad-productiongit clone --depth 1 https://github.com/calesthio/generative-media-skillsWrote 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/calesthio/generative-media-skills/ugc-ad-production)<a href="https://agentmods.dev/skills/calesthio/generative-media-skills/ugc-ad-production"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/ugc-ad-production/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/calesthio/generative-media-skills/ugc-ad-production"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/ugc-ad-production.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 | $0.00070 | $0.05732 |
| Opus 5 | $0.00035 | $0.02866 |
| Sonnet 5 | $0.00014 | $0.01146 |
| Haiku 4.5 | $0.00007 | $0.00573 |
Grade A, and why
ugc-ad-production 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 13d 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 — 391 lines — stays where its author put it; the contents beside it link to each section on GitHub.
UGC Ad Production
Use this skill to plan, script, generate, edit, and review short-form ads that should feel native to creator-led feeds while still being truthful, substantiated, disclosed, licensed, and ready for platform review.
This is production guidance, not legal advice. For regulated products, material performance claims, health/finance/children/political content, synthetic human likeness, or unclear disclosure duties, stop and ask the client for legal/compliance approval before producing or publishing.
Operating principle
UGC ads work because they borrow the cues of spontaneous creator content: handheld framing, first-person speech, product proximity, lived details, casual edits, and plain-language proof. Do not let the style imply a false source, false experience, fake review, undisclosed sponsorship, or unrealistic result.
Treat every UGC ad as four linked artifacts:
- The creative: hook, story, demo, proof, CTA.
- The evidence file: substantiation for every objective express or implied claim.
- The rights file: who appears, what assets are used, where they may run, for how long, and whether paid amplification/whitelisting is permitted.
- The disclosure file: commercial relationship disclosure, AI/synthetic media disclosure, and platform upload settings.
If any artifact is missing, ship only a clearly labeled draft for client review, not a publish-ready ad.
Fast intake
Capture these items before scripting:
- Product, offer, price, discount terms, guarantee, shipping/availability, promo expiry, landing page URL, and required disclaimers.
- Target buyer: awareness level, pain point, objections, alternatives, trigger event, language/region, age sensitivity.
- Placement: TikTok organic/Spark/In-Feed, Instagram/Facebook Reels or Stories, YouTube Shorts, other; paid vs organic; creator handle vs brand handle.
- Desired format: testimonial, product demo, app walkthrough, founder-style, street-style, problem-solution, before/after, comparison, myth-bust, unboxing, avatar/synthetic creator, voiceover-only, split-screen, or remix of supplied footage.
- Evidence constraints: allowed claims, prohibited claims, study data, customer review source, screenshots, app analytics, product measurements, demonstrations the product can actually perform.
- Creator/persona: real creator, actor, employee, customer, avatar, synthetic human, cloned voice, or faceless POV.
- Rights: talent release, usage term, paid usage scope, exclusivity, music/SFX license, location/property permissions, product/logo permissions, third-party app/site footage permissions.
- Compliance reviewers and escalation path.
What ships with it
1 file 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.
- 13d ago First seen · 391 lines · 70 tokens per session scan A bf6cf323269d
ugc-ad-production is a skill published in the GitHub repository calesthio/generative-media-skills (170 stars, last pushed 2mo ago), licensed MIT. It adds 70 tokens to every session and 5,732 once invoked, about $0.0003 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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