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 nick-vels/VelsVisual --skill visualgit clone --depth 1 https://github.com/nick-vels/VelsVisualWrote 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/nick-vels/velsvisual/visual)<a href="https://agentmods.dev/skills/nick-vels/velsvisual/visual"><img src="https://agentmods.dev/badge/skills/nick-vels/velsvisual/visual/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/nick-vels/velsvisual/visual"><img src="https://agentmods.dev/badge/skills/nick-vels/velsvisual/visual.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
- Socket pass
- Snyk fail
SkillSpector: 3 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium analysis-evasion · line 1 Suspicious Unicode normalization or mixed-script contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
- medium MCP Rug Pull · line 38 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 43 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00089 | $0.03632 |
| Opus 5.5 | $0.00036 | $0.01453 |
| Sonnet 5.5 | $0.00018 | $0.00726 |
| Haiku 4.5 | $0.00009 | $0.00363 |
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 1mo 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 — 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.
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.
- 1mo ago First seen · 242 lines · 89 tokens per session scan A 1ec75e7a78ee
visual is a skill published in the GitHub repository nick-vels/VelsVisual (79 stars, last pushed 2mo ago), licensed MIT. It adds 89 tokens to every session and 3,632 once invoked, about $0.0004 per session on Opus 5.5. 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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