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-subsidy-fit-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-subsidy-fit-prompt)<a href="https://agentmods.dev/skills/kokai-data/japan-business-data/kokai-subsidy-fit-prompt"><img src="https://agentmods.dev/badge/skills/kokai-data/japan-business-data/kokai-subsidy-fit-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-subsidy-fit-prompt"><img src="https://agentmods.dev/badge/skills/kokai-data/japan-business-data/kokai-subsidy-fit-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 | $0.00079 | $0.00443 |
| Opus 5 | $0.00039 | $0.00221 |
| Sonnet 5 | $0.00016 | $0.00089 |
| Haiku 4.5 | $0.00008 | $0.00044 |
Grade A, and why
kokai-subsidy-fit-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 has a target Japanese company AND a target J-Grants subsidy.
- You want a structured fit signal (NOT eligibility judgment) on whether the subsidy may fit the company.
How to invoke
Request the kokai MCP server's kokai_subsidy_fit_jp prompt:
{
"name": "kokai_subsidy_fit_jp",
"arguments": {
"corporate_number": "<13-digit 法人番号>",
"subsidy_id": "<J-Grants subsidy ID>"
}
}
The prompt returns thinking instructions + embedded resources + 3-axis fit analysis framework.
Output format
Present the 3-axis fit signal:
- Regional fit: Does the subsidy's target_area_search include the company's prefecture?
- Industry fit: Does the subsidy's industry tag align with the company's industry?
- Scale fit: Does the company's employee count / capital fit the subsidy's target_number_of_employees range?
For each axis, output fit / partial fit / no fit / insufficient data with cited reasoning.
Boundary (critical)
- Output is signal / 確認材料 / context — NOT eligibility judgment.
- Final 適格性 / 申請可否 verification requires a certified Japanese 士業 (行政書士 / 中小企業診断士).
- The kokai MCP server's
prepare_subsidy_eligibility_contexttool (gated beta, x-kokai-beta-client-id header required) is NOT called by this skill in default workflow. It is referenced only in advanced / beta appendices.
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 · 44 lines · 0 tokens per session scan A dc5c07c57954
kokai-subsidy-fit-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 79 tokens to every session and 443 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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