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 Kokai-Data/japan-business-data --skill nta-corporate-name-searchgit clone --depth 1 https://github.com/Kokai-Data/japan-business-dataWrote 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/kokai-data/japan-business-data/nta-corporate-name-search)<a href="https://agentmods.dev/skills/kokai-data/japan-business-data/nta-corporate-name-search"><img src="https://agentmods.dev/badge/skills/kokai-data/japan-business-data/nta-corporate-name-search/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/kokai-data/japan-business-data/nta-corporate-name-search"><img src="https://agentmods.dev/badge/skills/kokai-data/japan-business-data/nta-corporate-name-search.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 | $0.00083 | $0.00676 |
| Opus 5 | $0.00042 | $0.00338 |
| Sonnet 5 | $0.00017 | $0.00135 |
| Haiku 4.5 | $0.00008 | $0.00068 |
Grade A, and why
nta-corporate-name-search 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 12d 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
When to use
Use this skill when:
- The user provides a Japanese company name (2+ characters).
- gBizINFO's
search_companyreturned no results, or you want to cross-validate. - You want to find corporations not registered in gBizINFO (small / newly-formed / non-METI-tracked entities).
- You need the 国税庁公式 corporate-number master view (definitive 法人番号 SoT).
How to invoke
Call the kokai MCP server's search_nta_corporate_name tool:
{
"name": "search_nta_corporate_name",
"arguments": {
"name": "<company name, 2+ chars>",
"prefecture": "<optional prefecture code, e.g., '13' for 東京都>",
"kind": "<optional 法人区分, e.g., '301' for 株式会社>"
}
}
法人区分 (kind) codes
| Code | Label |
|---|---|
| 101 | 国の機関 |
| 201 | 地方公共団体 |
| 301 | 株式会社 |
| 302 | 有限会社 |
| 303 | 合名会社 |
| 304 | 合資会社 |
| 305 | 合同会社 |
| 399 | その他の設立登記法人 |
| 401 | 国外所在の法人 等 |
| 499 | 人格のない社団等 |
Output structure
For each result, present:
- 13-digit 法人番号
- name (商号又は名称)
- furigana (フリガナ)
- en_name (英語名称、登録ある場合のみ)
- location (都道府県 + 市区町村 + 丁目番地)
- post_code
- kind_label (法人区分 ラベル)
- process_label (現在 process status)
- assignment_date (法人番号指定年月日)
- is_latest (最新フラグ)
After identifying the target company, call the get_nta_corporate_record tool with the 法人番号 to get full record + change history.
Differentiation from gBizINFO
- gBizINFO
search_companyreturns business intelligence (industry / scale) - NTA
search_nta_corporate_namereturns authoritative master data (name / address / 法人区分) - For cross-validation: call both and compare. Disagreement signals data freshness or scope issues.
Boundary
- Output is signal / 確認材料 / context — NOT a decision.
- Active corporations only by default (closed entities excluded via
close=0flag). - For dissolved / merged corporation detection, use
get_nta_corporate_recordwith the 法人番号 directly.
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.
- 12d ago First seen · 73 lines · 0 tokens per session scan A 30c8e2c0b9af
nta-corporate-name-search is a skill published in the GitHub repository Kokai-Data/japan-business-data (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 83 tokens to every session and 676 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 2026-08-31.
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