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 theYahia/WWmcp --skill gigachat-imagegit clone --depth 1 https://github.com/theYahia/WWmcpWrote 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/theyahia/wwmcp/gigachat-image)<a href="https://agentmods.dev/skills/theyahia/wwmcp/gigachat-image"><img src="https://agentmods.dev/badge/skills/theyahia/wwmcp/gigachat-image/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/theyahia/wwmcp/gigachat-image"><img src="https://agentmods.dev/badge/skills/theyahia/wwmcp/gigachat-image.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00020 | $0.00577 |
| Opus 5.5 | $0.00008 | $0.00231 |
| Sonnet 5.5 | $0.00004 | $0.00115 |
| Haiku 4.5 | $0.00002 | $0.00058 |
Grade A, and why
gigachat-image 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.
What it actually says
/gigachat-image — Картинка из текста
Алгоритм
- Вызови
get_balance— проверь остаток токенов и квоты. Генерация изображений съедает заметно больше, чем текст; узнать об исчерпании до вызова дешевле, чем после. - Собери промпт. GigaChat генерирует изображение из обычного сообщения диалога, поэтому опиши картинку прямо в тексте: сюжет, стиль, композиция, палитра.
- Вызови
generate_imageс model (GigaChat или GigaChat-Pro) и messages — массивом объектов вида роль user плюс content с описанием. - Ответ содержит идентификатор файла изображения. Отдай его пользователю и скажи, как картинку забрать — прямой ссылки в ответе нет.
- Если результат не устроил, уточняй промпт по одному параметру за итерацию (сначала сюжет, потом стиль, потом палитра) — так видно, что именно повлияло.
- Если нужно приложить референс, вызови
file_uploadс file_content (base64), file_name и purpose, и упомяни файл в сообщении.
Формат ответа
## Изображение GigaChat
**Модель**: GigaChat-Pro
**Промпт**: «Осенний парк в тумане, акварель, приглушённая палитра»
**Файл**: img_8f2a91c0
**Квота**: осталось 128 400 токенов
Уточнить: добавьте в промпт время суток и ракурс.
Важно
- В отличие от текстовой генерации, у
generate_imageнет параметров temperature и max_tokens — вся настройка идёт через формулировку промпта. - Ответ отдаёт идентификатор файла, а не картинку в ответе. Не утверждай, что показал изображение.
- GigaChat отклоняет промпты, нарушающие его политику контента. Ошибку показывай как есть, не обходи её переформулировками без запроса пользователя.
Примеры
/gigachat-image осенний парк в тумане, акварель
/gigachat-image логотип кофейни, минимализм, две краски GigaChat-Pro
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 · 52 lines · 20 tokens per session scan A ee3328fbd1f6
gigachat-image is a skill published in the GitHub repository theYahia/WWmcp (36 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 577 once invoked, about $0.0001 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 2026-09-06.
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