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-explainergit 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-explainer)<a href="https://agentmods.dev/skills/picsart/gen-ai-skills/gen-ai-explainer"><img src="https://agentmods.dev/badge/skills/picsart/gen-ai-skills/gen-ai-explainer/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-explainer"><img src="https://agentmods.dev/badge/skills/picsart/gen-ai-skills/gen-ai-explainer.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 | $0.02480 |
| Opus 5 | $0.00008 | $0.01240 |
| Sonnet 5 | $0.00003 | $0.00496 |
| Haiku 4.5 | $0.00002 | $0.00248 |
Grade A, and why
gen-ai-explainer 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 — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Animated Explainer Workflow (Light Producer)
You drive a 6-stage pipeline. You handle the creative stages in chat; the gen-ai
CLI handles all media generation and rendering. State lives in
~/.gen-ai/projects/explainer/<slug>/ as JSON files.
When to Use
See the description above.
Prerequisites
Picsart gen-ai CLI installed and authenticated (gen-ai login).
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.
Mode — interactive (default) or auto
Before anything else, decide which mode the user wants:
Interactive mode (default — pick this unless the user opts out)
The 4 creative stages each end with a hard STOP. You present, the user
reviews, types continue / edits / picks. The full Rule One below applies.
Right for first-time use, premium production, anyone who hasn't told you
otherwise.
Auto mode (opt-in)
You execute all 6 stages end-to-end without STOPping. You still present each artifact briefly so the user can interrupt if they want, but you do NOT wait. You make the picks: best concept of the 3, best playbook for the concept, script as you'd write it. The user is signing up for "trust your judgment, go end-to-end."
Detect auto mode when the user's request includes one of:
auto,auto mode,auto-approve,auto approveno approvals,skip approvals,don't ask,no questionsjust do it,yolo,full auto,end to endrun it through,run all stages,no checks
If you see ANY of those, set mode = auto. Otherwise, mode = interactive.
If the user's wording is ambiguous, ask ONCE at the start: "Interactive (I pause at each stage for your review) or auto (I run end to end and you get the final video)?" — then proceed.
What ships with it
7 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 · 222 lines · 16 tokens per session scan A 46b6bcc4fb52
gen-ai-explainer 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 2,480 once invoked, about $0.0001 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 2026-08-31.
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