Borrowing it
Nothing to install: this file belongs to avabbbb/Flovart. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/avabbbb/Flovart/main/.agents/skills/flovart/commands/generate.mdgit clone --depth 1 https://github.com/avabbbb/FlovartWrote 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/commands/avabbbb/flovart/generate)<a href="https://agentmods.dev/commands/avabbbb/flovart/generate"><img src="https://agentmods.dev/badge/commands/avabbbb/flovart/generate/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/commands/avabbbb/flovart/generate"><img src="https://agentmods.dev/badge/commands/avabbbb/flovart/generate.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 | $0.00000 | $0.00348 |
| Opus 5.5 | $0.00000 | $0.00139 |
| Sonnet 5.5 | $0.00000 | $0.00070 |
| Haiku 4.5 | $0.00000 | $0.00035 |
Grade A, and why
generate 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 today.
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.
What it actually says
Generation commands
Compatibility surface: these direct generation helpers remain for existing scripts and diagnostics. New Agent work uses the stable five-command surface and
workflow.node.run.
Generation is browser-backed. Keep the Flovart UI open and check readiness first:
npm run flovart:cli -- provider.status --json
Only inspect a schema when a compatibility command is unfamiliar or the registry reports a contract mismatch:
npm run flovart:cli -- command.schema --command generate.image --json
npm run flovart:cli -- command.schema --command generate.images-batch --json
npm run flovart:cli -- command.schema --command generate.video --json
Examples using only registered arguments:
npm run flovart:cli -- generate.image --prompt "cinematic product poster, clean hero composition" --aspect-ratio 16:9 --json
npm run flovart:cli -- generate.video --prompt "slow dolly-in, subject turns toward camera" --source-image-ids image1,image2 --duration-sec 8 --aspect-ratio 16:9 --json
npm run flovart:cli -- video.status --job-id <job-id> --json
generate.image can target a Workflow project or node when the schema exposes projectId and targetNodeId. generate.video accepts typed image, video, or slot references according to the active Product Model and Provider Route.
Do not reuse removed options such as placeOnCanvas, layout, or generic wait unless they reappear in command.schema. Retry only the failed job with the smallest prompt or reference change.
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.
- today Changed · -1 lines b4a634e0eadb
- 2mo ago Changed · +1 lines fa1de0b3491c
- 2mo ago Changed · +2 lines 6259d1179b2c
- 2mo ago First seen · 29 lines · 0 tokens per session scan A c19d36209b81
generate is a command published in the GitHub repository avabbbb/Flovart (145 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 348 tokens. 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.
generate compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| generateavabbbb/Flovart | Command | 145 | today | MIT | A | 0 | Claude Code |
| labs-perplexityintellegix/intellegix-code-agent-toolkit | Command | 57 | 4d ago | MIT | A | 0 | Claude Code |
| brand-setupindranilbanerjee/socialforge | Command | 42 | 8d ago | MIT | A | 25 | Claude Code |
| statusindranilbanerjee/socialforge | Command | 42 | 8d ago | MIT | A | 18 | Claude Code |
| switch-brandindranilbanerjee/socialforge | Command | 42 | 8d ago | MIT | A | 17 | Claude Code |
| new-monthindranilbanerjee/socialforge | Command | 42 | 8d ago | MIT | A | 35 | Claude Code |
| revisionindranilbanerjee/socialforge | Command | 42 | 8d ago | MIT | A | 17 | Claude Code |