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 kannkyo/e-gov-law-mcp --skill legal-e-gov-lawgit clone --depth 1 https://github.com/kannkyo/e-gov-law-mcpWrote 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/kannkyo/e-gov-law-mcp/legal-e-gov-law)<a href="https://agentmods.dev/skills/kannkyo/e-gov-law-mcp/legal-e-gov-law"><img src="https://agentmods.dev/badge/skills/kannkyo/e-gov-law-mcp/legal-e-gov-law/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/kannkyo/e-gov-law-mcp/legal-e-gov-law"><img src="https://agentmods.dev/badge/skills/kannkyo/e-gov-law-mcp/legal-e-gov-law.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 | $0.00111 | $0.00995 |
| Opus 5 | $0.00056 | $0.00498 |
| Sonnet 5 | $0.00022 | $0.00199 |
| Haiku 4.5 | $0.00011 | $0.00100 |
Grade A, and why
legal-e-gov-law 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
e-Gov 法令調査ガイド
e-gov-law MCPサーバーが提供する6つのツールを使って、日本の法令を調査する手順をまとめる。
前提
このSKILLは e-gov-law-mcp プラグインの MCP サーバーがインストール済みであることを前提とする。以下のツールが利用可能:
search_laws— 法令名・種別・時点で法令一覧を検索get_law_revisions— 指定法令の改正履歴を取得get_law_data— 法令本文をJSONで取得get_attachment— 添付ファイルを取得(一時ファイルに保存しパスを返す)search_keyword— 法令本文の全文キーワード検索download_law_file— 法令本文をファイル形式(xml/json/html/rtf/docx)でダウンロード(一時ファイルに保存しパスを返す)
典型的なワークフロー
1. 法令名から本文を調べたい
search_lawsにlaw_titleを指定して呼び出し、対象法令のlaw_id(または法令番号)を特定する。複数候補が返る場合は、法令名の完全一致や法令種別で絞り込む。- 特定した
law_id_or_num_or_revision_idを使ってget_law_dataを呼び出し、本文を取得する。特定の条文だけが必要な場合はelmパラメータで絞り込む。 - 取得した本文から該当箇所を引用する。
2. キーワードで法令を横断検索したい
search_keywordにkeywordを指定して呼び出し、該当する法令の一覧を取得する。- 一覧から関連性の高い法令を選び、それぞれについて
get_law_dataで本文を取得し、内容を確認する。 - 結果が多すぎる場合は
law_typeで法令種別を絞り込むか、limit/offsetでページングする。
3. 改正履歴を追いたい
get_law_revisionsにlaw_id_or_numを指定して呼び出し、改正履歴一覧を取得する。- 特定の期間の改正だけを見たい場合は
amendment_date_from/amendment_date_toで絞り込む。 - 特定の改正時点の本文が必要な場合は、その改正の revision_id を
get_law_dataのlaw_id_or_num_or_revision_idに渡して本文を取得する。
4. 添付ファイルや本文ファイルが必要なとき
- 法令本文中に画像やPDFなどの添付ファイルへの参照がある場合は
get_attachmentを使う。返り値のパスをReadツール等で参照する。 - 法令本文をXML/HTML/DOCXなどのファイル形式でそのまま保存したい場合は
download_law_fileを使う。
引用時の作法
法令を引用する際は、必ず以下を明記する:
- 法令名(略称ではなく正式名称)
- 条・項・号などの具体的な位置
- 参照した時点(
asofや改正IDに対応する施行日)。時点を指定していない場合は「取得時点で最新の内容」であることを明記する。
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 · 54 lines · 111 tokens per session scan A 13a3ad1de638
legal-e-gov-law is a skill published in the GitHub repository kannkyo/e-gov-law-mcp (2 stars, last pushed 2d ago), licensed MIT. It adds 111 tokens to every session and 995 once invoked, about $0.0006 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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