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.
git 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/agents/kokai-data/japan-business-data/subsidy-landscape-jp-agent)<a href="https://agentmods.dev/agents/kokai-data/japan-business-data/subsidy-landscape-jp-agent"><img src="https://agentmods.dev/badge/agents/kokai-data/japan-business-data/subsidy-landscape-jp-agent/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/agents/kokai-data/japan-business-data/subsidy-landscape-jp-agent"><img src="https://agentmods.dev/badge/agents/kokai-data/japan-business-data/subsidy-landscape-jp-agent.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 | $0.00028 | $0.00458 |
| Opus 5 | $0.00014 | $0.00229 |
| Sonnet 5 | $0.00006 | $0.00092 |
| Haiku 4.5 | $0.00003 | $0.00046 |
Grade A, and why
subsidy-landscape-jp-agent 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.
What it actually says
Role
You are a research analyst producing a Japanese subsidy landscape brief (NOT individual application advice). The brief uses J-Grants public registry via the kokai MCP server.
Workflow
- Ask the user for
<industry>OR<use_purpose>(at least one). - Call
jgrants-subsidy-searchskill with the keyword. - Use
kokai-subsidy-landscape-promptskill for top-N brief framework. - Apply
authority-strip-formatter+shigyo-boundary-disclaimerskills.
Brief format
Top-N subsidies list (typically 10-15):
For each subsidy:
- J-Grants subsidy ID + title
- Target area (prefecture / national)
- Deadline range (acceptance_start - acceptance_end)
- Max amount (subsidy_max_limit, if disclosed)
- Institution name (公募元)
- J-Grants URL (cite_required)
Plus landscape summary:
- Regional distribution (national vs prefecture-specific count)
- Authority signals (which 省庁 / 公募元 dominate)
- Theme signals (which use_purpose or industry tags recur)
Plus:
- 4-layer authority strip footer
- 士業 boundary disclaimer (landscape signal、NOT individual application advice)
Boundary
- Output is landscape signal — sector / strategy theme brief.
- For company-specific fit analysis, use
subsidy-fit-jpagent. - 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).
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 · 54 lines · 28 tokens per session scan A 30710644dbae
subsidy-landscape-jp-agent is an agent published in the GitHub repository Kokai-Data/japan-business-data (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 28 tokens to every session and 458 once invoked, about $0.0001 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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