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/commands/kokai-data/japan-business-data/procurement-discovery)<a href="https://agentmods.dev/commands/kokai-data/japan-business-data/procurement-discovery"><img src="https://agentmods.dev/badge/commands/kokai-data/japan-business-data/procurement-discovery/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/commands/kokai-data/japan-business-data/procurement-discovery"><img src="https://agentmods.dev/badge/commands/kokai-data/japan-business-data/procurement-discovery.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 | $0.00042 | $0.00363 |
| Opus 5 | $0.00021 | $0.00181 |
| Sonnet 5 | $0.00008 | $0.00073 |
| Haiku 4.5 | $0.00004 | $0.00036 |
Grade A, and why
procurement-discovery 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 9d 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
/procurement-discovery
Search Japanese government procurement notices (Call for Tender, 公告) via 官公需情報ポータル (中小企業庁) REST + XML API. Phase 1 = bid notice discovery only (received bids / outcomes are not in the public API).
Usage:
/procurement-discovery <keyword>— search by free-text keyword (e.g.,/procurement-discovery システム開発)/procurement-discovery organization=<name>— search by issuing organization (e.g.,/procurement-discovery organization=中小企業庁)/procurement-discovery lg_code=<code>— search by local government code
Returns cited list of CFT notices + 4-layer authority strip + 行政書士 / 中小企業診断士 / 弁護士 boundary disclaimer.
Calls search-procurement-portal Skill (公式 官公需情報ポータル API, 中小企業庁).
Phase 1 scope
- ✅ project names, issuing organizations, industry categories, procedure types, CFT issue dates
- ❌ awarded results / 落札価格 / supplier 履歴 (NOT in official API; deferred to Phase 2)
Boundary
Output is signal / 確認材料 — NOT bid advice or 適格性 judgment. 入札判断 / 適格性判断 / 契約交渉 requires certified Japanese 行政書士 / 中小企業診断士 / 弁護士.
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.
- 9d ago First seen · 28 lines · 42 tokens per session scan A fbfc0bbfffcd
procurement-discovery is a command published in the GitHub repository Kokai-Data/japan-business-data (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 42 tokens to every session and 363 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.
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