Borrowing it
Nothing to install: this file belongs to theYahia/dadata-mcp. 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/theYahia/dadata-mcp/master/.claude/skills/check-company/SKILL.mdgit clone --depth 1 https://github.com/theYahia/dadata-mcpWrote 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/dadata-mcp/check-company)<a href="https://agentmods.dev/skills/theyahia/dadata-mcp/check-company"><img src="https://agentmods.dev/badge/skills/theyahia/dadata-mcp/check-company/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/dadata-mcp/check-company"><img src="https://agentmods.dev/badge/skills/theyahia/dadata-mcp/check-company.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 | $0.00049 | $0.00797 |
| Opus 5 | $0.00024 | $0.00398 |
| Sonnet 5 | $0.00010 | $0.00159 |
| Haiku 4.5 | $0.00005 | $0.00080 |
Grade A, and why
check-company 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 11d 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/check-company — Проверка контрагента
Полная проверка компании или ИП с оценкой рисков. Комбинирует до 9 инструментов DaData MCP.
Используемые инструменты
| Инструмент | Стоимость | Что делает |
|---|---|---|
suggest_company |
Бесплатно | Поиск по названию |
find_company_by_id |
Бесплатно | Полная информация по ИНН/ОГРН |
find_affiliated |
Бесплатно* | Аффилированные компании |
find_company_by_email |
7 ₽ | Поиск по email |
find_brand |
7 ₽ | Бренд и логотип |
find_self_employed |
Бесплатно | Статус самозанятого |
suggest_company_by |
Бесплатно | Компании Беларуси |
suggest_company_kz |
Бесплатно | Компании Казахстана |
find_bank |
Бесплатно | Банковские реквизиты |
Алгоритм
- Получи от пользователя ИНН, ОГРН или название компании
- Если дано название — используй
suggest_companyдля поиска, предложи варианты - Используй
find_company_by_idдля получения полной информации - Используй
find_affiliatedдля поиска аффилированных компаний - Если нужен бренд —
find_brand - Если дан email —
find_company_by_email - Если это ИП — проверь
find_self_employed - Для белорусских компаний —
suggest_company_by, для казахстанских —suggest_company_kz - Если нужны банковские реквизиты —
find_bank
Анализ рисков
Оцени по факторам:
- Статус: действующая / ликвидирована / в процессе ликвидации
- Возраст: менее 1 года — повышенный риск
- Руководитель: есть ли данные, не массовый ли
- Адрес: заполнен ли, не массовый ли
- Финансы: выручка, сотрудники
- ОКВЭД: основной вид деятельности
- Аффилированность: связанные компании и их статус
Формат ответа
## Отчёт по контрагенту
**Компания**: [название]
**ИНН**: [инн] | **ОГРН**: [огрн]
**Статус**: [действующая/ликвидирована]
**Дата регистрации**: [дата] ([возраст])
**Руководитель**: [ФИО, должность]
**Юр. адрес**: [адрес]
**Основной ОКВЭД**: [код — описание]
**Сотрудники**: [кол-во]
### Оценка риска: [НИЗКИЙ / СРЕДНИЙ / ВЫСОКИЙ]
**Факторы**:
- [список факторов]
### Аффилированные компании
- [список если есть]
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.
- 11d ago First seen · 81 lines · 49 tokens per session scan A 6979fb74f149
check-company is a skill published in the GitHub repository theYahia/dadata-mcp (2 stars, last pushed 9d ago), licensed MIT. It adds 49 tokens to every session and 797 once invoked, about $0.0002 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 2026-08-31.
Other skills, from other repositories
prediction-markets
Use when the user asks about event probabilities, prediction market odds, what people are betting on, Polymarket/Kalshi prices, sports markets — or about the things you CANNOT get from a public API: historical price/volume/orderbook time series, smart-money positioning, whale leaderboards, wallet P&L, wallet identity…
crypto-data
Use for any crypto data question — token/coin prices, FX, commodities, stocks, OHLC history, DEX pairs and liquidity, DeFi TVL, yield/APY pools, or raw JSON-RPC against a chain; also when the user asks for on-chain SQL, wallet labels/net worth, social mindshare or crypto news, so they are told plainly what BlockRun…
polymarket-trading
Use when the user wants to actually PLACE, manage, or redeem bets on Polymarket (not just read odds — that's blockrunmarkets). Covers setup (deposit wallet, funding, approvals), buy/sell with confirm gating, positions, redeeming winnings, geoblock handling, and the end-to-end demo flow.
signal-to-trade-demo
Prepare or run a polished BlockRun trading demo that discovers a current Polymarket market, combines live price, probability history, smart-money, and liquidity evidence into a balanced signal, produces a real order dry-run, and verifies orders or positions. Use for live demos, signal-to-trade workflows, current…
surf
Surf (asksurf.ai) is RETIRED on BlockRun and the blockrunsurf tool was REMOVED in 0.49.0 — the gateway has answered every /v1/surf/ path with HTTP 410 endpointretired since 2026-09-06. Use this skill to route a former Surf question (on-chain SQL, wallet labels and net worth, CEX order books, social mindshare, news) to…
polymarket-tennis
Build observe-only Polymarket and Kalshi tennis market tooling on the polymarket-tennis Python package (MIT) plus the Live Tennis API free tier. Use when asked for a Polymarket tennis bot or market watcher, a Kalshi tennis trading bot, tennis prediction-market data, Gamma API tennis markets, matching a market to a…