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 lawchat-oss/taiwan-legal-plugin --skill statute-lookupgit clone --depth 1 https://github.com/lawchat-oss/taiwan-legal-pluginWrote 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/lawchat-oss/taiwan-legal-plugin/statute-lookup)<a href="https://agentmods.dev/skills/lawchat-oss/taiwan-legal-plugin/statute-lookup"><img src="https://agentmods.dev/badge/skills/lawchat-oss/taiwan-legal-plugin/statute-lookup/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/lawchat-oss/taiwan-legal-plugin/statute-lookup"><img src="https://agentmods.dev/badge/skills/lawchat-oss/taiwan-legal-plugin/statute-lookup.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 | $0.00127 | $0.01473 |
| Opus 5 | $0.00063 | $0.00737 |
| Sonnet 5 | $0.00025 | $0.00295 |
| Haiku 4.5 | $0.00013 | $0.00147 |
Grade A, and why
statute-lookup 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.
How it starts
The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/taiwan-legal:statute-lookup
Queries Taiwan's National Regulation Database and returns full-text article data.
Audience
Legal researchers, attorneys, paralegals, in-house counsel, and law students working in or with the Taiwanese legal system. Assumes familiarity with the Taiwanese statute structure (法 / 法律 / 命令; 條 / 項 / 款 / 目). Not designed for end-consumers seeking legal advice.
Instructions
-
Load practice profile. Read
~/.claude/plugins/config/taiwan-legal-plugin/taiwan-legal/CLAUDE.mdfor the user's preferred citation style and abolished-regulation handling. If the file does not exist, say: "Run/taiwan-legal:cold-start-interviewfirst to set defaults — or shall I proceed with no defaults?" -
Scope check. Confirm the request is a lookup or research query, not an advice request (see "What this skill does NOT do" below).
-
Identify intent.
- Specific regulation by name (e.g., "民法") → resolve via
get_pcode(law_name=...), thenquery_regulation(pcode=...). - Keyword search across all regulations →
search_regulations(keyword=..., exclude_abolished=...). - Specific article (e.g., "民法 §184") →
query_regulation(law_name=..., article=...).
- Specific regulation by name (e.g., "民法") → resolve via
-
Execute the MCP tool call. Apply profile defaults when the user did not specify (e.g.,
exclude_abolished=trueif set in the profile). -
Apply confidence bands (see below).
-
Present results.
- Search results: list regulation names with pcode, abolished status, and URL.
- Article text: render verbatim with article number, body, and any subsection labels (項 / 款 / 目). Do not summarize without being asked.
-
Cite faithfully. Every cited article must include 法規全名 + 第 X 條 + URL.
Worked example
Input (user):
民法 184 條 全文 + 引用
Plan: resolve 民法 → pcode B0000001, then query article 184.
Tool calls:
get_pcode(law_name="民法")→B0000001query_regulation(pcode="B0000001", article="184")
Expected output shape:
民法 第 184 條（侵權行為）
第一項：因故意或過失，不法侵害他人之權利者，負損害賠償責任。故意以背於善良風俗之方法，加損害於他人者亦同。
第二項：違反保護他人之法律，致生損害於他人者，負賠償責任。但能證明其行為無過失者，不在此限。
出處：https://law.moj.gov.tw/LawClass/LawSingle.aspx?pcode=B0000001&flno=184
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 · 102 lines · 127 tokens per session scan A fe33622d1ee4
statute-lookup is a skill published in the GitHub repository lawchat-oss/taiwan-legal-plugin (44 stars, last pushed 3mo ago), licensed MIT. It adds 127 tokens to every session and 1,473 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 2026-08-30.
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