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-imagegit 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-image)<a href="https://agentmods.dev/skills/jasoncolapietro/suede-creator-skills/suede-image"><img src="https://agentmods.dev/badge/skills/jasoncolapietro/suede-creator-skills/suede-image/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-image"><img src="https://agentmods.dev/badge/skills/jasoncolapietro/suede-creator-skills/suede-image.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 34 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00080 | $0.03911 |
| Opus 5 | $0.00040 | $0.01956 |
| Sonnet 5 | $0.00016 | $0.00782 |
| Haiku 4.5 | $0.00008 | $0.00391 |
Grade A, and why
suede-image 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 11d 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 — 400 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Suede Marketing Image Production
Suede produces marketing imagery as a rights-aware, placement-specific system: choose the right production method, protect canonical brand assets, preserve real product truth, and verify the exported result. Use generation models and design tools to create efficient hero, social, mockup, banner, and preview workflows without fabricating interfaces or provenance.
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. Image Goal
- What type of image? (Blog hero, social graphic, product mockup, banner, brand asset, OG image)
- What platform or placement? (Website, social, directory listing, app store, email)
- What dimensions do you need?
2. Production Approach
- Do you have existing brand assets? (Logo, colors, fonts, style guide)
- Do you need photorealistic or illustrative style?
- Is this a one-off or a template for repeated use?
3. Technical Context
- Which image, browser, design, or local conversion tools are currently callable?
- What is the approved maximum cost and data-handling boundary?
- Do you need the image optimized for web performance?
Do not ask the user to paste API keys or secrets into the conversation.
Choosing Your Approach
First discover the current production surface. Inspect callable tools and connected accounts; do not assume a named model, provider, API, plugin, or design app is available. Then choose among these methods:
| Approach | Best For | Candidate surface |
|---|---|---|
| Generation | Original concepts and scenes | A callable image-generation tool |
| Editing | Authorized changes to supplied images | A callable editor with image-input support |
| Template design | Brand-consistent recurring assets | An authorized design app or local template |
| Screenshot + overlay | Truthful product showcases | Callable browser capture plus local layout |
| Licensed media | Existing photography or illustration | User-owned library or verified license source |
What ships with it
4 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.
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.
- 11d ago First seen · 400 lines · 80 tokens per session scan A 1f561a9712db
suede-image is a skill published in the GitHub repository JasonColapietro/suede-creator-skills (135 stars, last pushed yesterday), licensed MIT. It adds 80 tokens to every session and 3,911 once invoked, about $0.0004 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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