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 jgrants-subsidy-detailgit 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/jgrants-subsidy-detail)<a href="https://agentmods.dev/skills/kokai-data/japan-business-data/jgrants-subsidy-detail"><img src="https://agentmods.dev/badge/skills/kokai-data/japan-business-data/jgrants-subsidy-detail/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/jgrants-subsidy-detail"><img src="https://agentmods.dev/badge/skills/kokai-data/japan-business-data/jgrants-subsidy-detail.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 | $0.00070 | $0.00385 |
| Opus 5 | $0.00035 | $0.00192 |
| Sonnet 5 | $0.00014 | $0.00077 |
| Haiku 4.5 | $0.00007 | $0.00038 |
Grade A, and why
jgrants-subsidy-detail 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:
- You have a J-Grants subsidy ID from a prior
search_subsidiescall. - You need full details: eligibility criteria, application forms, contact info, deadlines, max amount.
How to invoke
Call the kokai MCP server's get_subsidy_detail tool:
{
"name": "get_subsidy_detail",
"arguments": {
"subsidy_id": "<J-Grants subsidy ID, e.g., a0WJ200000XXXXXX>"
}
}
Output format
The response includes a normalized record with:
- Subsidy title and overview
- Target eligibility (target_number_of_employees, industry, use_purpose, target_area_search)
- Subsidy rate (subsidy_rate)
- Max amount (subsidy_max_limit)
- Acceptance period (workflow[].acceptance_start_datetime / acceptance_end_datetime)
- Application documents (application_guidelines, application_form)
- Detail page URL (front_subsidy_detail_page_url) — cite_required
- Contact info (問合せ先)
Boundary
- Output is signal / 確認材料 / context — NOT eligibility judgment.
- Application form preparation, eligibility verification, and 申請 / 適格性 judgment require a certified Japanese 士業 (行政書士 / 中小企業診断士).
- Cite the J-Grants
front_subsidy_detail_page_urlin your output.
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 4f06fd82f52c
jgrants-subsidy-detail 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 70 tokens to every session and 385 once invoked, about $0.0003 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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