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-chatgit 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-chat)<a href="https://agentmods.dev/skills/theyahia/wwmcp/gigachat-chat"><img src="https://agentmods.dev/badge/skills/theyahia/wwmcp/gigachat-chat/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-chat"><img src="https://agentmods.dev/badge/skills/theyahia/wwmcp/gigachat-chat.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 | $0.00021 | $0.00255 |
| Opus 5 | $0.00010 | $0.00128 |
| Sonnet 5 | $0.00004 | $0.00051 |
| Haiku 4.5 | $0.00002 | $0.00026 |
Grade A, and why
gigachat-chat 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 6d 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-chat -- Диалог с GigaChat
Используемые инструменты
| Инструмент | Что делает |
|---|---|
chat |
Генерация текста через GigaChat |
Алгоритм
- Разбери запрос пользователя: текст, модель, температура
- Если модель не указана -- по умолчанию GigaChat
- Вызови
chatс параметрами - Покажи результат с информацией о модели и использованных токенах
Формат ответа
## Ответ GigaChat
**Модель**: GigaChat
**Ответ**: <текст ответа>
**Токены**: ввод: 15, вывод: 128, всего: 143
Примеры
/gigachat-chat Напиши стихотворение о весне
/gigachat-chat Объясни квантовую механику GigaChat-Pro 0.3
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.
- 6d ago First seen · 38 lines · 21 tokens per session scan A a399dc97a31b
gigachat-chat is a skill published in the GitHub repository theYahia/WWmcp (29 stars, last pushed 5d ago), licensed MIT. It adds 21 tokens to every session and 255 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 2026-09-06.
Other skills, from other repositories
mistral-router
Picks the right Mistral model and tool for a given task. Use when the user asks "which Mistral model should I use for X", or when you (Claude) need to route a subtask to a Mistral capability and aren't sure which model/tool fits best.
model-context
MCP (Model Context Protocol) - Build AI-native servers with tools, resources, and prompts. TypeScript/Python SDKs for Claude Desktop integration.
build-mcp-server
MCP (Model Context Protocol) - Build AI-native servers with tools, resources, and prompts. TypeScript/Python SDKs for Claude Desktop integration.
outlines
Outlines: structured JSON/regex/Pydantic LLM generation.
guidance
Constrain LLM output with grammars; guarantee valid JSON.
claude-api
Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude…