A command-line tool for generating or transforming images, video, and audio through external media-generation models. It can refresh the available model list and inspect each model’s required inputs.

Use it for text-to-image, image editing, image-to-video, upscaling, text-to-speech, music, voice, and sound-effect tasks.

It helps select a currently available model and use the input format that model actually supports.

visual — Skill for Claude Code and Codex by nick-vels: A command-line tool for generating or transforming images, video…

Install

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.

agentmods

npx agentmods add skills/nick-vels/velsvisual/visual

Any agent

npx skills add nick-vels/VelsVisual --skill visual

Clone the repo

git clone --depth 1 https://github.com/nick-vels/VelsVisual

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/nick-vels/velsvisual/visual.svg)](https://agentmods.dev/skills/nick-vels/velsvisual/visual)

Your own site

<a href="https://agentmods.dev/skills/nick-vels/velsvisual/visual"><img src="https://agentmods.dev/badge/skills/nick-vels/velsvisual/visual.svg" alt="Measured on agentmods" height="20"></a>

Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,632 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00089	$0.03632
Opus 5	$0.00044	$0.01816
Sonnet 5	$0.00018	$0.00726
Haiku 4.5	$0.00009	$0.00363

Measured 3d ago against content hash 1ec75e7a78ee, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

visual 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 3d 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.

skills/visual/SKILL.md · 242 lines

How it starts

The opening of the file, as written. The whole thing — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.

VelsVisual — генерация медиа через KIE API

CLI на Node.js (ноль зависимостей, Node >= 18) обращается к KIE API (kie.ai) и умеет генерировать изображения, видео и аудио сотней моделей.

Каталога моделей в скилле нет нарочно — модели на kie.ai выходят каждую неделю, любой список в файле устаревает. Источник истины — живой реестр в самом CLI. Перед каждой генерацией выбирай модель через него:

velsvisual models --refresh --json       # обновить реестр из docs.kie.ai (делай раз в сессию)
velsvisual models --category image --search nano --json   # поиск по id и описанию
velsvisual schema МОДЕЛЬ --json          # реальные поля input этой модели

--search понимает синонимы задач и игнорирует дефисы/регистр: edit находит и google/nano-banana-edit, и gpt-image-2-image-to-image, и ideogram/v3-remix (вендоры называют одно и то же по-разному). То же для tts/озвучка, image-to-video/оживи, upscale/апскейл.

В выводе models --json у каждой модели есть required, api, docUrl и пометка [stale] (в живом каталоге модели больше нет — ищи свежий аналог через --search).

CLI сам знает поля новых моделей. Перед запуском run подтягивает схему модели из её документации (кэш 24ч) и по ней определяет, куда класть промпт и картинку, что обязательно и какие обязательные поля имеют значения по умолчанию. Поэтому модель, вышедшая на kie.ai вчера, работает без обновления CLI — не нужно ни угадывать поля, ни ждать релиза. Отключить: --no-schema, обновить принудительно: --refresh-schema.

Установка и онбординг — одной командой

npx -y velsvisual setup     # скачает CLI и запустит мастер: API-ключ (с проверкой баланса) + этот скилл

Если пакет уже установлен глобально — просто velsvisual setup. Для постоянной установки после npx: npm i -g velsvisual. Обновление: npm i -g velsvisual@latest (CLI) и npx -y skills update visual (этот скилл); каталог моделей и схемы обновляются сами. Ключ также можно задать вручную: export KIE_API_KEY=ваш_ключ или velsvisual config --set-key ваш_ключ. Если ключа нет — CLI скажет об этом понятной ошибкой; попроси ключ у пользователя, не выдумывай его. Проверка: velsvisual credits.

Read the full file on GitHub · 242 lines

Changes

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.

3d ago First seen · 242 lines · 89 tokens per session scan A 1ec75e7a78ee

Subscribe to this mod's changes

visual is a skill published in the GitHub repository nick-vels/VelsVisual (48 stars, last pushed 28d ago), licensed MIT. It adds 89 tokens to every session and 3,632 once invoked, about $0.0004 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 2026-08-30.

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