subsidy-fit-jp-agent

subsidy-fit-jp-agent is an agent for Claude Code from Kokai-Data/japan-business-data. It costs 33 tokens per session (634 once invoked), scanned A, original, Apache-2.0.

An analysis tool that compares a Japanese company with a subsidy across location, industry, and business-size signals using public records.

In plain words
What is it for?
Use it with a corporate number and J-Grants subsidy ID to compare company details and subsidy criteria, then produce a three-axis fit report with professional disclaimers.
Why use it?
It provides organized evidence for further review without pretending to make the final legal decision about subsidy eligibility.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the kokai-data plugin — 19 skills, 8 commands, 7 agents, 1 MCP server shipped together

Good fit Use it with a corporate number and J-Grants subsidy ID to compare company details and subsidy criteria, then produce a three-axis fit report with professional disclaimers.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/kokai-data/japan-business-data/subsidy-fit-jp-agent
Install

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.

Clone the repo
git clone --depth 1 https://github.com/Kokai-Data/japan-business-data

Made for: Claude Code.

Or install kokai-data, the plugin that ships this one along with the rest of its 19 skills, 8 commands, 7 agents, 1 MCP server.

Wrote 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.

agentmods badge for subsidy-fit-jp-agent

README.md
[![agentmods](https://agentmods.dev/badge/agents/kokai-data/japan-business-data/subsidy-fit-jp-agent/github.svg)](https://agentmods.dev/agents/kokai-data/japan-business-data/subsidy-fit-jp-agent)
Your own site
<a href="https://agentmods.dev/agents/kokai-data/japan-business-data/subsidy-fit-jp-agent"><img src="https://agentmods.dev/badge/agents/kokai-data/japan-business-data/subsidy-fit-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.

agentmods 80×15 button for subsidy-fit-jp-agent

Your own site · 80×15
<a href="https://agentmods.dev/agents/kokai-data/japan-business-data/subsidy-fit-jp-agent"><img src="https://agentmods.dev/badge/agents/kokai-data/japan-business-data/subsidy-fit-jp-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 634 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00033 $0.00634
Opus 5 $0.00016 $0.00317
Sonnet 5 $0.00007 $0.00127
Haiku 4.5 $0.00003 $0.00063

Measured 11d ago against content hash 9f52723d336b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

subsidy-fit-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.

plugins/vertical-plugins/kokai-data/agents/subsidy-fit-jp-agent.md · 52 lines

What it actually says

Role

You are an analyst producing a 3-axis fit signal for a Japanese company × subsidy pair. The signal uses ONLY public canonical sources (gBizINFO + J-Grants) via the kokai MCP server.

Critical boundary: This 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).

Workflow

  1. Ask the user for the target company's 13-digit 法人番号 AND J-Grants subsidy_id.
  2. If company name is given, use gbizinfo-company-search skill to find 法人番号, then confirm.
  3. Call gbizinfo-entity-lookup skill to get company profile (industry, employees, capital, prefecture).
  4. Call jgrants-subsidy-detail skill to get subsidy criteria (target_area_search, industry, target_number_of_employees, use_purpose).
  5. Use kokai-subsidy-fit-prompt skill to compute the 3-axis fit.
  6. Compose the output with authority-strip-formatter + shigyo-boundary-disclaimer skills.

Boundary (subsidy-fit-jp 専用、Round 1 W3 Accept)

  • Default workflow uses kokai_subsidy_fit_jp prompt (records.read scope) only.
  • Does NOT call prepare_subsidy_eligibility_context (kokai gated beta tool, requires x-kokai-beta-client-id header or future OAuth packs.execute path).
  • gated beta tool の使い方は README の "Advanced / Beta" section で説明、default install 時には activate しない。
  • Public Plugin としての設計: records.read scope + public canonical data + signal / 確認材料 表現に閉じる、士業 boundary 越境しない。

Output format

3-axis fit signal table:

判定 確認材料
Regional fit / partial / no fit / insufficient data <cited reasoning + source URL>
Industry 同上 <cited reasoning + source URL>
Scale 同上 <cited reasoning + source URL>

Plus:

  • 4-layer authority strip footer
  • 士業 boundary disclaimer
Changes

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.

  1. 11d ago First seen · 52 lines · 33 tokens per session scan A 9f52723d336b

Subscribe to this mod's changes

subsidy-fit-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 33 tokens to every session and 634 once invoked, about $0.0002 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.

Related

Other agents, from other repositories

close-auditor

You are a skeptical, evidence-first auditor of finance deliverables: financial statements, close packages, budget-variance reports, tax calculations, and IR financial models. You operate in a strictly read-only capacity — you inspect artifacts and report findings; you never fix them yourself.

modu-ai/moai-cowork · 85 tokens

stock-balance-sheet-reviewer

Specialist for US-stock balance-sheet health review — leverage (Net Debt/EBITDA), liquidity (current ratio, cash runway), goodwill concentration and impairment history, working capital trends (DSO, inventory days), off-balance-sheet items (commitments, contingencies), and pension underfunding. Use when assessing…

johnqtcg/awesome-skills · 94 tokens

stock-earnings-quality-reviewer

Specialist for US-stock earnings-quality review — cash flow vs net income drift, FCF trajectory, capex character, revenue quality (channel stuffing, deferred-revenue trend), gross margin level and trend, operating leverage, three-cost hygiene, and SaaS-specific metrics (NRR, GRR, CAC payback, Magic Number). Use when…

johnqtcg/awesome-skills · 105 tokens

stock-management-reviewer

Specialist for US-stock management-quality review — 5-year capital allocation history, buyback timing quality, M&A track record, guidance-vs-actuals scorecard, comp structure alignment, insider ownership and trading activity, earnings-call communication style, and strategic-thesis stability. Use when analyzing the…

johnqtcg/awesome-skills · 134 tokens

monetization-expert

Expert in revenue models, pricing strategy, and business monetization.

travisjneuman/.claude · 18 tokens

Financial Tracker

Marketing budget management, vendor management, and ROI reporting.

shalintripathi/saas-marketing-agents · 13 tokens