Sciverse
opendatalab/Sciverse-Agent-Tools
A skill your agent uses when the user needs academic paper retrieval — searching scientific literature by author/year/journal, finding paper chunks for RAG-style citations, or expanding original…
Retrieve real Taiwan court judgments with verifiable citations before answering any question about Taiwan law or case law.
Install Tw Legal RAG
$ npx skills add aa0101181514/tw-legal-rag --skill tw-legal-rag -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aa0101181514/tw-legal-rag tw-legal-rag --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/aa0101181514/tw-legal-rag.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/tw-legal-rag .claude/skills/tw-legal-rag && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "tw-legal-rag" agent skill from https://github.com/aa0101181514/tw-legal-rag/tree/main/skills/tw-legal-rag into .claude/skills/tw-legal-rag/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tw-legal-rag", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/aa0101181514/tw-legal-rag/tree/main/skills/tw-legal-ragType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add aa0101181514/tw-legal-rag --skill tw-legal-rag -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aa0101181514/tw-legal-rag tw-legal-rag --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aa0101181514/tw-legal-rag.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/tw-legal-rag .agents/skills/tw-legal-rag && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tw-legal-rag" agent skill from https://github.com/aa0101181514/tw-legal-rag/tree/main/skills/tw-legal-rag into .agents/skills/tw-legal-rag/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tw-legal-rag", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aa0101181514/tw-legal-rag --skill tw-legal-rag -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aa0101181514/tw-legal-rag tw-legal-rag --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aa0101181514/tw-legal-rag.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/tw-legal-rag .cursor/skills/tw-legal-rag && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "tw-legal-rag" agent skill from https://github.com/aa0101181514/tw-legal-rag/tree/main/skills/tw-legal-rag into .cursor/skills/tw-legal-rag/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tw-legal-rag", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/aa0101181514/tw-legal-rag.git --path skills/tw-legal-rag--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add aa0101181514/tw-legal-rag --skill tw-legal-rag -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aa0101181514/tw-legal-rag tw-legal-rag --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aa0101181514/tw-legal-rag.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/tw-legal-rag .gemini/skills/tw-legal-rag && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "tw-legal-rag" agent skill from https://github.com/aa0101181514/tw-legal-rag/tree/main/skills/tw-legal-rag into .gemini/skills/tw-legal-rag/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tw-legal-rag", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install aa0101181514/tw-legal-rag tw-legal-ragInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add aa0101181514/tw-legal-rag --skill tw-legal-rag -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aa0101181514/tw-legal-rag.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/tw-legal-rag .github/skills/tw-legal-rag && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "tw-legal-rag" agent skill from https://github.com/aa0101181514/tw-legal-rag/tree/main/skills/tw-legal-rag into .github/skills/tw-legal-rag/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tw-legal-rag", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aa0101181514/tw-legal-rag --skill tw-legal-rag -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aa0101181514/tw-legal-rag tw-legal-rag --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aa0101181514/tw-legal-rag.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/tw-legal-rag .opencode/skills/tw-legal-rag && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "tw-legal-rag" agent skill from https://github.com/aa0101181514/tw-legal-rag/tree/main/skills/tw-legal-rag into .opencode/skills/tw-legal-rag/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tw-legal-rag", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
tw-legal-rag- GitHub stars
- 328
- Token cost
- ~580 tokens
- SKILL.md length
- 272 words
- Files
- 2 (incl. scripts)
- Skills in repo
- 1
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Retrieve real Taiwan court judgments with verifiable citations before answering any question about Taiwan law or case law.
- Works in 5 steps: Cite ONLY ids listed in the bundle's… → Quote only text that appears verbatim in… → If the bundle is empty or retrieval… → …
- The user asks about 台灣/臺灣 judgments
- SKILL.md covers When to use, How to retrieve, Citation rules (non-negotiable) and Notes
- Runs Python scripts from its folder; calls python3, python and pip
What it does
Tw Legal RAG is an agent skill from aa0101181514/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 subcommand); answers must cite only citationids present in the returned bundle.
Its SKILL.md is about 580 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/search_judgments.py`).
It sits in Legal & Compliance, covering Legal research, Citation management and Retrieval-augmented generation. It works with Model Context Protocol and Python. The repository describes itself as: 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.
When your agent uses it
- The user asks about 台灣/臺灣 judgments
- Legal precedents
- Wants case support for a legal argument
Example prompts
- “/tw-legal-rag”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Cite ONLY ids listed in the bundle's allowed_citations. Judgments in
- Quote only text that appears verbatim in a judgment's
- If the bundle is empty or retrieval fails, say so explicitly. Never
- A case number appearing in the bundle proves the judgment exists — it
- Follow the bundle's own verification_instructions field; it is part of
What it can do on your machine
Read from SKILL.md and the folder at commit c7aaee0. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3pythonpip
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Tw Legal RAG loads about 580 tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 272 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 272 words (~580 tokens).
“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…”
- name
- tw-legal-rag
Files
SKILL.md and 1 other file (scripts) in skills/tw-legal-rag of aa0101181514/tw-legal-rag.
- SKILL.md
- scripts/search_judgments.py
Open the folder on GitHubat commit c7aaee0
Compare with similar skills
Tw Legal RAG next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Tw Legal RAG this skillaa0101181514/tw-legal-rag | 328 | — | ~580 | Automated safety check: Pass | Custom licence | |
| Sciverseopendatalab/Sciverse-Agent-Tools | 120 | — | ~3k | Automated safety check: Pass | Custom licence | |
| Arxiv MCP Serverblazickjp/arxiv-mcp-server | 3.2k | — | ~353 | Automated safety check: Pass | Apache-2.0 | |
| Setup MedsciAperivue/medsci-skills | 333 | — | ~960 | Automated safety check: Pass | MIT | |
| Literature Review Toolsbrycewang-stanford/Auto-Empirical-Research-Skills | 4.6k | — | ~2.5k | Automated safety check: Notes | Custom licence | |
| Verified Researchsweetcornna/free-search-mcp | 126 | — | ~1.8k | Automated safety check: Pass | MIT |
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Related
Works with
Questions about Tw Legal RAG
What does Tw Legal RAG do?
Retrieve real Taiwan court judgments with verifiable citations before answering any question about Taiwan law or case law. Tw Legal RAG is an agent skill from aa0101181514/tw-legal-rag. Retrieve real Taiwan court judgments with verifiable citations before answering any question about Taiwan law or case law.
When should I use Tw Legal RAG?
Tw Legal RAG fits situations like: the user asks about 台灣/臺灣 judgments; legal precedents; wants case support for a legal argument.
How do I install Tw Legal RAG in Claude Code?
Run `npx skills add aa0101181514/tw-legal-rag --skill tw-legal-rag -a claude-code`. Or copy the skill folder (skills/tw-legal-rag in aa0101181514/tw-legal-rag) into .claude/skills/tw-legal-rag in your project. Claude Code loads it when a task matches its description.
How do I install Tw Legal RAG in Codex?
Run `npx skills add aa0101181514/tw-legal-rag --skill tw-legal-rag -a codex`. Or copy the skill folder (skills/tw-legal-rag in aa0101181514/tw-legal-rag) into .agents/skills/tw-legal-rag in your project. Codex loads it when a task matches its description.
Can I use Tw Legal RAG in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aa0101181514/tw-legal-rag --skill tw-legal-rag -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tw-legal-rag, .gemini/skills/tw-legal-rag, .github/skills/tw-legal-rag and .opencode/skills/tw-legal-rag in your project.
What does Tw Legal RAG need to run?
Going by SKILL.md and its folder, Tw Legal RAG needs Python for the scripts in its folder and the command-line tools its instructions call (python3, python and pip). Our summary lists: Python 3.
Does Tw Legal RAG access the network?
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Tw Legal RAG safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Tw Legal RAG use?
Tw Legal RAG has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Tw Legal RAG use?
About 580 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Tw Legal RAG?
Skills that share tags, products or a category with Tw Legal RAG: Sciverse (opendatalab/Sciverse-Agent-Tools, 120 stars), Arxiv MCP Server (blazickjp/arxiv-mcp-server, 3.2k stars), Setup Medsci (Aperivue/medsci-skills, 333 stars) and Literature Review Tools (brycewang-stanford/Auto-Empirical-Research-Skills, 4.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Tw Legal RAG?
aa0101181514 (a GitHub user) maintains it in aa0101181514/tw-legal-rag, which has 328 GitHub stars. The repository was last updated on October 10, 2026.
Source: aa0101181514/tw-legal-rag on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.