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 kokai-due-diligence-promptgit 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/kokai-due-diligence-prompt)<a href="https://agentmods.dev/skills/kokai-data/japan-business-data/kokai-due-diligence-prompt"><img src="https://agentmods.dev/badge/skills/kokai-data/japan-business-data/kokai-due-diligence-prompt/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/kokai-due-diligence-prompt"><img src="https://agentmods.dev/badge/skills/kokai-data/japan-business-data/kokai-due-diligence-prompt.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 | $0.00073 | $0.00372 |
| Opus 5 | $0.00036 | $0.00186 |
| Sonnet 5 | $0.00015 | $0.00074 |
| Haiku 4.5 | $0.00007 | $0.00037 |
Grade A, and why
kokai-due-diligence-prompt 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 asks for a due diligence brief, pre-investment research, or pre-meeting client brief on a Japanese company.
- You have a 13-digit 法人番号 (corporate number).
- You want a structured brief with thinking instructions and ACBS authority/cite_required/expert-review boundary already embedded.
How to invoke
Request the kokai MCP server's kokai_due_diligence_jp prompt:
{
"name": "kokai_due_diligence_jp",
"arguments": {
"corporate_number": "<13-digit 法人番号>"
}
}
The prompt returns a messages array with:
- Thinking instructions (how to organize the response)
- Embedded resources (gBizINFO entity + evidence refs)
- 4-layer authority strip
- 士業 expert-review boundary message
Output format
Follow the thinking instructions returned by the prompt. The output should:
- Header: company name + 法人番号
- Sections cited from gBizINFO records + evidence refs
- 4-layer authority strip at footer
- 士業 boundary disclaimer
Boundary
- Output is signal / 確認材料 / context — NOT a decision.
- DD conclusions / investment decisions / legal judgment require certified Japanese 士業 (公認会計士 / 弁護士 / 行政書士).
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 · 47 lines · 0 tokens per session scan A b5d28e93b012
kokai-due-diligence-prompt 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 73 tokens to every session and 372 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.
Other skills, from other repositories
comps-analysis
Build comparable-company valuation workbooks in Excel.
hyperliquid
Hyperliquid market data, account history, trade review.
stocks
Stock quotes, history, search, compare, crypto via Yahoo.
omni-budget
Configure spending limits, token quotas, and rate-limit policies per API key or globally. Inspect current consumption and enforce cost controls across providers.
polymarket
Query Polymarket: markets, prices, orderbooks, history.
industry-research
An industry-research workflow that maps how an industry works from suppliers to customers, then examines individual companies within it. The value-investing analysis looks at business quality, risks, and price.