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-landscape-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-landscape-prompt)<a href="https://agentmods.dev/skills/kokai-data/japan-business-data/kokai-subsidy-landscape-prompt"><img src="https://agentmods.dev/badge/skills/kokai-data/japan-business-data/kokai-subsidy-landscape-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-landscape-prompt"><img src="https://agentmods.dev/badge/skills/kokai-data/japan-business-data/kokai-subsidy-landscape-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 | $0.00074 | $0.00344 |
| Opus 5 | $0.00037 | $0.00172 |
| Sonnet 5 | $0.00015 | $0.00069 |
| Haiku 4.5 | $0.00007 | $0.00034 |
Grade A, and why
kokai-subsidy-landscape-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 sector / strategy theme landscape (NOT individual application advice).
- You want a top-N subsidies overview for an industry or use_purpose.
How to invoke
Request the kokai MCP server's kokai_subsidy_landscape_scan_jp prompt:
{
"name": "kokai_subsidy_landscape_scan_jp",
"arguments": {
"industry": "<optional industry name or code>",
"use_purpose": "<optional use purpose>"
}
}
At least one of industry or use_purpose is required.
The prompt returns thinking instructions + embedded resources for landscape brief.
Output format
- List top-N subsidies with title / target area / deadline / max amount / cite_required source URL
- 3-axis signal per subsidy: regional / industry / scale fit
- Landscape summary: ranking, regional distribution, authority signals
Boundary
- Output is landscape signal, NOT individual application advice.
- For company-specific fit analysis, use the kokai MCP server's
kokai_subsidy_fit_jpprompt. - Final 適格性 / 申請可否 verification requires a certified Japanese 士業.
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 · 42 lines · 0 tokens per session scan A f40e5ea62ea8
kokai-subsidy-landscape-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 74 tokens to every session and 344 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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