/tw-legal-rag
Retrieve real Taiwan court judgments with verifiable citations before answering any question about Taiwan law or case law. Use when the user asks about 台灣/臺灣 judgments, 判決, 法院見解, legal precedents, or wants case support for a legal argument. Wraps the twlegalrag CLI (pack
$ npx -y skills add aa0101181514/tw-legal-rag --skill tw-legal-rag --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/tw-legal-rag
Context preview
The summary Claude sees to decide when to auto-load this skill.
Retrieve real Taiwan court judgments with verifiable citations before answering any question about Taiwan law or case law. Use when the user asks about 台灣/臺灣 judgments, 判決, 法院見解, legal precedents, or wants case support for a legal argument. Wraps the twlegalrag CLI (pack
SKILL.md
tw-legal-rag.SKILL.mdname: tw-legal-rag
description: Retrieve real Taiwan court judgments with verifiable citations before answering any question about Taiwan law or case law. Use when the user asks about 台灣/臺灣 judgments, 判決, 法院見解, legal precedents, or wants case support for a legal argument. Wraps the twlegalrag CLI (pack subcommand); answers must cite only citation_ids present in the returned bundle.
TW Legal RAG — Taiwan judgment retrieval for Claude Code
When to use
Any time the question involves Taiwan law and the answer would benefit from actual court judgments: legal questions in plain language, case-law research, checking whether a cited 字號 exists, or building an argument that needs precedent support. Retrieve FIRST, answer second.
How to retrieve
Run the bundled script with the user's question:
python3 scripts/search_judgments.py "雇主未足額提撥勞工退休準備金的法律責任" -n 5
It prints a bundle JSON containing judgments (court, case number, date, reasoning excerpts), stable citation ids (J1, J2, ...), an `allowed_citations` whitelist and verification instructions.
The script locates the `twlegalrag` executable automatically and falls back to `python -m twlegalrag` when the console script is not on PATH (common on Windows user-site installs). If both fail, install the CLI first: `pip install twlegalrag`.
Citation rules (non-negotiable)
1. Cite ONLY ids listed in the bundle's `allowed_citations`. Judgments in `unread_candidates` were not read in full — never present them as authority. 2. Quote only text that appears verbatim in a judgment's `fulltext_excerpt`. Do not reconstruct holdings from memory. 3. If the bundle is empty or retrieval fails, say so explicitly. Never substitute invented case numbers. 4. A case number appearing in the bundle proves the judgment exists — it does not prove it supports the user's position. Read the excerpt before characterising a holding. 5. Follow the bundle's own `verification_instructions` field; it is part of the data contract.
Notes
- Retrieval hits the public TLR endpoint (`tlr.dr-legal.com.tw`); no API key
is required and no LLM is called server-side.
- Windows: if output shows garbled Chinese, the terminal is not in UTF-8;
the CLI reconfigures its own streams, but pipe output to a file when in doubt.
Read more
name: tw-legal-rag description: Retrieve real Taiwan court judgments with verifiable citations before answering any question about Taiwan law or case law. Use when the user asks about 台灣/臺灣 judgments, 判決, 法院見解, legal precedents, or wants case support for a legal argument. Wraps the twlegalrag CLI (pack subcommand); answers must cite only citation_ids present in the returned bundle.
TW Legal RAG — Taiwan judgment retrieval for Claude Code
When to use
Any time the question involves Taiwan law and the answer would benefit from actual court judgments: legal questions in plain language, case-law research, checking whether a cited 字號 exists, or building an argument that needs precedent support. Retrieve FIRST, answer second.
How to retrieve
Run the bundled script with the user's question:
python3 scripts/search_judgments.py "雇主未足額提撥勞工退休準備金的法律責任" -n 5
It prints a bundle JSON containing judgments (court, case number, date, reasoning excerpts), stable citation ids (J1, J2, ...), an `allowed_citations` whitelist and verification instructions.
The script locates the `twlegalrag` executable automatically and falls back to `python -m twlegalrag` when the console script is not on PATH (common on Windows user-site installs). If both fail, install the CLI first: `pip install twlegalrag`.
Citation rules (non-negotiable)
1. Cite ONLY ids listed in the bundle's `allowed_citations`. Judgments in `unread_candidates` were not read in full — never present them as authority. 2. Quote only text that appears verbatim in a judgment's `fulltext_excerpt`. Do not reconstruct holdings from memory. 3. If the bundle is empty or retrieval fails, say so explicitly. Never substitute invented case numbers. 4. A case number appearing in the bundle proves the judgment exists — it does not prove it supports the user's position. Read the excerpt before characterising a holding. 5. Follow the bundle's own `verification_instructions` field; it is part of the data contract.
Notes
- Retrieval hits the public TLR endpoint (`tlr.dr-legal.com.tw`); no API key
is required and no LLM is called server-side.
- Windows: if output shows garbled Chinese, the terminal is not in UTF-8;
the CLI reconfigures its own streams, but pipe output to a file when in doubt.
台灣法律 MCP 伺服器 + CLI（免費、免註冊、免 API key）：2,250 萬筆裁判書、行政函釋、憲法法庭裁判，附引用查核。Free Taiwan legal MCP server for Claude/ChatGPT/Codex — bring your own LLM, retrieval-only.