text-to-visual — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited text-to-visual (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
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.
| 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 motion-studio.
Picsart gen-ai CLI installed and authenticated:
curl -fsSL https://picsart.com/gen-ai-cli/install.sh | bash
gen-ai login
gen-ai whoamiPer-mode setup (caching, serverless endpoints, font choices) is documented inside each mode reference.
Read references/modes/<mode>.md.# 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 modelsPrompt-construction patterns (how to derive a prompt from a paragraph, an article, or a URL's metadata) live in the individual mode references.
Shared outer loop:
gen-ai prompt; each mode has its own template.gen-ai pricing before committing for multi-image runs.gen-ai generate. Stream progress.references/modes/og.md.# Confirm output exists and matches expected dimensions
gen-ai inspect outputs/<run>/<image>.png
# Spot-check the visual matches the source text by re-reading both side by sideproduct-photo-studio — transform existing product photosmotion-studio — video from textgen-ai-use — foundational gen-ai CLI reference~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.