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 JasonColapietro/suede-creator-skills --skill suede-ad-creativegit clone --depth 1 https://github.com/JasonColapietro/suede-creator-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/jasoncolapietro/suede-creator-skills/suede-ad-creative)<a href="https://agentmods.dev/skills/jasoncolapietro/suede-creator-skills/suede-ad-creative"><img src="https://agentmods.dev/badge/skills/jasoncolapietro/suede-creator-skills/suede-ad-creative/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/jasoncolapietro/suede-creator-skills/suede-ad-creative"><img src="https://agentmods.dev/badge/skills/jasoncolapietro/suede-creator-skills/suede-ad-creative.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 | $0.00098 | $0.04300 |
| Opus 5.5 | $0.00039 | $0.01720 |
| Sonnet 5.5 | $0.00020 | $0.00860 |
| Haiku 4.5 | $0.00010 | $0.00430 |
Grade A, and why
suede-ad-creative 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 today.
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 — 399 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Suede AI Ad Creative Skills
Read the worked delivery contract for a concrete input, expected artifact, failure response and validation example.
Compatibility
Works from supplied product/review/performance inputs; file access for creative packages and current platform documentation or preview for validation. Image/video generation needs an available approved production tool.
Use this performance-creative system to generate testable headlines, descriptions, primary text, and visual concepts, then iterate from real performance data.
Before Starting
Check for product marketing context first:
If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Gather this context (ask if not provided):
1. Platform & Format
- What platform? (Google Ads, Meta, LinkedIn, TikTok, Twitter/X)
- What ad format? (Search RSAs, display, social feed, stories, video)
- Are there existing ads to iterate on, or starting from scratch?
2. Product & Offer
- What are you promoting? (Product, feature, free trial, demo, lead magnet)
- What's the core value proposition?
- What makes this different from competitors?
3. Audience & Intent
- Who is the target audience?
- What stage of awareness? (Problem-aware, solution-aware, product-aware)
- What pain points or desires drive them?
4. Performance Data (if iterating)
- What creative is currently running?
- Which headlines/descriptions are performing best? (CTR, conversion rate, ROAS)
- Which are underperforming?
- What angles or themes have been tested?
5. Constraints
- Brand voice guidelines or words to avoid?
- Compliance requirements? (Industry regulations, platform policies)
- Any mandatory elements? (Brand name, trademark symbols, disclaimers)
How This Skill Works
What ships with it
14 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.
- agents/openai.yaml 553 B
- assets/creative-review-template.html 24 KB
- CARD.md 4.4 KB
- evals/evals.json 16 KB
- references/creative-review-page.md 8.7 KB
- references/creative-roadmap.md 8.7 KB
- references/generative-tools.md 25 KB
- references/hook-system.md 8.1 KB
- references/imessage-video-ads.md 20 KB
- references/motion-video-ads.md 11 KB
- references/platform-specs.md 7.3 KB
- references/static-ad-templates.md 11 KB
- references/worked-contract.md 2.0 KB
- references/writing-quality.md 1.9 KB
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.
- today Changed · -24 lines · -50 tokens per session 96fe7f2582d6
- 3d ago Changed · +4 lines · +61 tokens per session 09bdeec9bfc0
- 17d ago Changed 04e2d370e98f
- 23d ago Changed 255a3e969b8d
- 1mo ago First seen · 419 lines · 87 tokens per session scan A b3d5feba27e7
suede-ad-creative is a skill published in the GitHub repository JasonColapietro/suede-creator-skills (126 stars, last pushed today), licensed MIT. It adds 98 tokens to every session and 4,300 once invoked, about $0.0004 per session on Opus 5.5. 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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