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 gen-ai-persona-creationgit 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/gen-ai-persona-creation)<a href="https://agentmods.dev/skills/picsart/gen-ai-skills/gen-ai-persona-creation"><img src="https://agentmods.dev/badge/skills/picsart/gen-ai-skills/gen-ai-persona-creation/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/gen-ai-persona-creation"><img src="https://agentmods.dev/badge/skills/picsart/gen-ai-skills/gen-ai-persona-creation.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 | $0.00015 | $0.05540 |
| Opus 5 | $0.00008 | $0.02770 |
| Sonnet 5 | $0.00003 | $0.01108 |
| Haiku 4.5 | $0.00002 | $0.00554 |
Grade A, and why
gen-ai-persona-creation scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
command -v curl # ships with macOS / Linux / Git-Bash How it starts
The opening of the file, as written. The whole thing — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Influencer Persona
Turn one sentence into a head-to-toe 4-angle casting card in signature wardrobe, persona profile, platform-tuned captions, and (optional) a reel with ambient audio. Output: ./<persona-slug>/.
When to Use
See the description above.
Prerequisites
gen-ai whoami # auth + gen-ai install + Node v22+ check
command -v curl # ships with macOS / Linux / Git-Bash
If gen-ai whoami fails: gen-ai login or set PICSART_ACCESS_TOKEN + PICSART_USER_ID. No extra media tools needed.
How to Run
Use the agent's terminal tool to invoke gen-ai commands as described in the Procedure below.
Quick Reference
See the Procedure for canonical commands.
Procedure
See sections below for the detailed walkthrough.
Pitfalls
See Common Pitfalls below.
Verification
Run gen-ai whoami to confirm authentication, then re-run the failed command with --debug.
How the skill calls gen-ai
URL=$(gen-ai generate -m <model> -p "<prompt>" --json --no-input | grep -oE 'https?://[^"]+' | head -1)
curl -sSL -o ./<persona-slug>/<file>.<ext> "$URL"
--download doesn't work with --json --no-input — URL+curl is canonical.
Bash footguns: never add 2>&1 or stderr redirects between --json --no-input and the closing ) — shell parse error before the command runs (verified). Keep the inner pipe strictly --json --no-input | grep -oE 'https?://[^"]+' | head -1. One generation per URL=$(...).
Style routing
| Style | Model | For | Cost |
|---|---|---|---|
realistic (default) |
gemini-3.1-flash-image |
photoreal humans + photoreal common pets / anthropomorphic animals | ~3 cr |
stylized |
grok-imagine |
anime, 3D-animated fruit/object/character, illustration | ~1 cr |
Cross-provider fallback: primary fails → retry with flux-2-max (~3 cr, supports imageUrls). Both fail → surface error.
Style inference (read the brief)
| Brief contains | Style → opening |
|---|---|
| Fruit/veggie/food + "character" / "anthropomorphic" / "brainrot" | stylized → fruit/object |
| Animal name + "pet" / "influencer" / "creator" / breed (NOT "real form" / "four-legged") | realistic → anthropomorphic humanoid pet (default for animal/pet briefs — fluffy biped in cute clothes, matches project's pets category vibe) |
| Animal name + explicit "real form" / "four-legged" / "on all fours" / "real cat / dog / animal" | realistic → real-form quadruped pet (opt-in) |
| "Anime", "manga", "magical girl", "kawaii", "shoujo", "shonen" | stylized → anime |
| "3D rendered", "stylized 3D", "claymation", "feature-film animation" | stylized → 3D character |
| "Illustrated", "painted", "watercolor", "comic book" | stylized → illustration |
| Human profession + demographic, no style cue | realistic → photoreal human |
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.
- 12d ago First seen · 283 lines · 15 tokens per session scan A c06899eefebb
gen-ai-persona-creation is a skill published in the GitHub repository PicsArt/gen-ai-skills (4 stars, last pushed 15d ago), licensed MIT. It adds 15 tokens to every session and 5,540 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (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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