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 PicsArt/gen-ai-skills --skill text-to-visualgit clone --depth 1 https://github.com/PicsArt/gen-ai-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/picsart/gen-ai-skills/text-to-visual)<a href="https://agentmods.dev/skills/picsart/gen-ai-skills/text-to-visual"><img src="https://agentmods.dev/badge/skills/picsart/gen-ai-skills/text-to-visual/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/picsart/gen-ai-skills/text-to-visual"><img src="https://agentmods.dev/badge/skills/picsart/gen-ai-skills/text-to-visual.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00016 | $0.00876 |
| Opus 5 | $0.00008 | $0.00438 |
| Sonnet 5 | $0.00003 | $0.00175 |
| Haiku 4.5 | $0.00002 | $0.00088 |
Grade C, and why
text-to-visual scanned grade C with 2 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL https://picsart.com/gen-ai-cli/install.sh | bash Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL https://picsart.com/gen-ai-cli/install.sh | bash How it starts
The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Text to Visual
A single skill that covers every "given text, produce a matching image" workflow Picsart's gen-ai CLI supports. Use when the user has any kind of written content — a paragraph, a blog draft, a URL — and needs visuals generated from it. Replaces three narrower skills with one entry point and three mode references.
Input: text (paragraph, article, or URL). Output: one or more images matched to the text's tone, topic, and target placement.
When to Use
| Mode | Trigger phrases | Reference |
|---|---|---|
| single | "match a visual to this paragraph", "inline image for this section", "one visual for this content" | references/modes/single.md |
| article-set | "illustrate this blog post", "hero + inline visuals for an article", "full visual set for a draft" | references/modes/article-set.md |
| og | "OG image for this URL", "open graph preview", "Twitter card image", "dynamic meta image" | references/modes/og.md |
If the user wants product photos transformed, that's product-photo-studio. If they want video, that's gen-ai-use.
Prerequisites
Picsart gen-ai CLI installed and authenticated:
curl -fsSL https://picsart.com/gen-ai-cli/install.sh | bash
gen-ai login
gen-ai whoami
Per-mode setup (caching, serverless endpoints, font choices) is documented inside each mode reference.
How to Run
- Identify the mode from the user's request using the table in When to Use.
- Load the corresponding mode reference:
Readreferences/modes/<mode>.md. - Follow the procedure described there — extract text signals, build prompt, generate.
- Return to this SKILL.md only when switching modes mid-task.
Quick Reference
# Single image from a prompt
gen-ai generate --model <model> --prompt "<derived from text>"
# Estimate cost first
gen-ai pricing --model <model> --count <N>
# Browse available models
gen-ai models
What ships with it
3 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 · 94 lines · 16 tokens per session scan C 9371bf67c3f8
text-to-visual is a skill published in the GitHub repository PicsArt/gen-ai-skills (4 stars, last pushed 14d ago), licensed MIT. It adds 16 tokens to every session and 876 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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