Tw Legal RAG
aa0101181514/tw-legal-rag
Retrieve real Taiwan court judgments with verifiable citations before answering any question about Taiwan law or case law.
After an AI agent completes a segment of legal reasoning or argumentation, it must self-assess the resulting conclusion: judge the overall strength and confidence of the argument, and identify and…
Install Argument Strength Evaluation
$ npx skills add THUYRan/Legal-Skills-Chinese --skill argument-strength-evaluation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install THUYRan/Legal-Skills-Chinese argument-strength-evaluation --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/THUYRan/Legal-Skills-Chinese.git skills-src && mkdir -p .claude/skills && cp -r skills-src/English/skills/argument-strength-evaluation .claude/skills/argument-strength-evaluation && 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 "argument-strength-evaluation" agent skill from https://github.com/THUYRan/Legal-Skills-Chinese/tree/main/English/skills/argument-strength-evaluation into .claude/skills/argument-strength-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "argument-strength-evaluation", 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/THUYRan/Legal-Skills-Chinese/tree/main/English/skills/argument-strength-evaluationType 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 THUYRan/Legal-Skills-Chinese --skill argument-strength-evaluation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install THUYRan/Legal-Skills-Chinese argument-strength-evaluation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/THUYRan/Legal-Skills-Chinese.git skills-src && mkdir -p .agents/skills && cp -r skills-src/English/skills/argument-strength-evaluation .agents/skills/argument-strength-evaluation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "argument-strength-evaluation" agent skill from https://github.com/THUYRan/Legal-Skills-Chinese/tree/main/English/skills/argument-strength-evaluation into .agents/skills/argument-strength-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "argument-strength-evaluation", 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 THUYRan/Legal-Skills-Chinese --skill argument-strength-evaluation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install THUYRan/Legal-Skills-Chinese argument-strength-evaluation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/THUYRan/Legal-Skills-Chinese.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/English/skills/argument-strength-evaluation .cursor/skills/argument-strength-evaluation && 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 "argument-strength-evaluation" agent skill from https://github.com/THUYRan/Legal-Skills-Chinese/tree/main/English/skills/argument-strength-evaluation into .cursor/skills/argument-strength-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "argument-strength-evaluation", 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/THUYRan/Legal-Skills-Chinese.git --path English/skills/argument-strength-evaluation--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 THUYRan/Legal-Skills-Chinese --skill argument-strength-evaluation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install THUYRan/Legal-Skills-Chinese argument-strength-evaluation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/THUYRan/Legal-Skills-Chinese.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/English/skills/argument-strength-evaluation .gemini/skills/argument-strength-evaluation && 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 "argument-strength-evaluation" agent skill from https://github.com/THUYRan/Legal-Skills-Chinese/tree/main/English/skills/argument-strength-evaluation into .gemini/skills/argument-strength-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "argument-strength-evaluation", 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 THUYRan/Legal-Skills-Chinese argument-strength-evaluationInstalls 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 THUYRan/Legal-Skills-Chinese --skill argument-strength-evaluation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/THUYRan/Legal-Skills-Chinese.git skills-src && mkdir -p .github/skills && cp -r skills-src/English/skills/argument-strength-evaluation .github/skills/argument-strength-evaluation && 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 "argument-strength-evaluation" agent skill from https://github.com/THUYRan/Legal-Skills-Chinese/tree/main/English/skills/argument-strength-evaluation into .github/skills/argument-strength-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "argument-strength-evaluation", 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 THUYRan/Legal-Skills-Chinese --skill argument-strength-evaluation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install THUYRan/Legal-Skills-Chinese argument-strength-evaluation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/THUYRan/Legal-Skills-Chinese.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/English/skills/argument-strength-evaluation .opencode/skills/argument-strength-evaluation && 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 "argument-strength-evaluation" agent skill from https://github.com/THUYRan/Legal-Skills-Chinese/tree/main/English/skills/argument-strength-evaluation into .opencode/skills/argument-strength-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "argument-strength-evaluation", 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
argument-strength-evaluation- GitHub stars
- 873
- Token cost
- ~13k tokens
- SKILL.md length
- 3,973 words
- Files
- 1
- Skills in repo
- 71
- Repo updated
- First seen
- Licence
- None found
At a glance
After an AI agent completes a segment of legal reasoning or argumentation, it must self-assess the resulting conclusion: judge the overall strength and confidence of the argument, and identify and…
- Works in 4 steps: 🔴 Highest: Supplement evidence of… → 🔴 Highest: Ascertain and prove that… → 🟠 Next: Supplement… → …
- Conditions include
- SKILL.md covers Overview Table, Legal Disclaimer, I. Core Concepts and II. Complete Workflow, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Argument Strength Evaluation is an agent skill from THUYRan/Legal-Skills-Chinese. After an AI agent completes a segment of legal reasoning or argumentation, it must self-assess the resulting conclusion: judge the overall strength and confidence of the argument, and identify and flag weak links in the reasoning chain. Trigger conditions include, but are not limited to: - After completing legal analysis, a reliability rating for the conclusion is needed - The user expressly requests an evaluation of the persuasiveness or reliability of a given argument - Multiple competing legal interpretations…
Its SKILL.md is about 13k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Legal & Compliance, covering Legal research.
When your agent uses it
- Conditions include
- But are not limited to: - After completing legal analysis
- A reliability rating for the conclusion is needed - The user expressly requests an evaluation of the persuasiveness
- Contested views) that need to be flagged - Risk warnings are needed for decision-makers
Example prompts
- “s own or the opposing party”
- “/argument-strength-evaluation”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- 🔴 Highest: Supplement evidence of democratic procedures and publicity/notification of the rules
- 🔴 Highest: Ascertain and prove that Zhang's absence was unauthorized absenteeism without justified reason
- 🟠 Next: Supplement procedural-compliance argument for termination (trade-union notification)
- 🟡 Recommended: Anticipate and respond to possible opposing defenses
What it can do on your machine
Read from SKILL.md and the folder at commit c31ef1f. 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
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Argument Strength Evaluation loads about 13k tokens when it runs. Until then it costs about 246 tokens; SKILL.md has 3,973 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); files beside SKILL.md are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 3,973 words (~12,654 tokens).
“Argument Strength is the degree of support that a segment of legal reasoning provides from premises to conclusion. It reflects the likelihood that the conclusion will be adopted in law and its persuasiveness. It is not a binary judgment (right/wrong)…”
- name
- argument-strength-evaluation
Files
Just SKILL.md in English/skills/argument-strength-evaluation of THUYRan/Legal-Skills-Chinese.
Open the folder on GitHubat commit c31ef1f
Compare with similar skills
Argument Strength Evaluation 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 |
|---|---|---|---|---|---|---|
| Argument Strength Evaluation this skillTHUYRan/Legal-Skills-Chinese | 873 | — | ~13k | Automated safety check: Pass | None | |
| Tw Legal RAGaa0101181514/tw-legal-rag | 328 | — | ~580 | Automated safety check: Pass | Custom licence | |
| Design Award SearchSeanJ1ang/design-judge-skills | 712 | — | ~3k | Automated safety check: Pass | Apache-2.0 | |
| China Lawyer AnalystCSlawyer1985/china-lawyer-analyst | 196 | — | ~3.3k | Automated safety check: Pass | None | |
| Legal Issue ResearchGolden2002/legal-research-skill | 156 | — | ~6.8k | Automated safety check: Pass | MIT | |
| Tax Law ResearchSerein-81/financial_rag | 148 | — | ~997 | Automated safety check: Notes | None |
Similar skills
Design Award Search
SeanJ1ang/design-judge-skills
Find and verify award-winning designs in the same or adjacent functional category through eight explicit relevance dimensions: problem and user, core function, sensing technology, intervention…
China Lawyer Analyst
CSlawyer1985/china-lawyer-analyst
通过中国法律视角分析事件，运用成文法解释、指导案例参照、请求权基础分析等方法， 理解权利义务、评估责任风险、识别法律依据并推荐合规策略。
Legal Issue Research
Golden2002/legal-research-skill
中国法律全领域系统性检索专家. An agent skill from Golden2002/legal-research-skill.
Tax Law Research
Serein-81/financial_rag
Searches current Chinese tax laws, rates and policy changes with Tavily web search, prioritizing government sources and flagging outdated or conflicting results.
Case Law Research
LegalQuants/lq-ai
A skill your agent uses when the user asks to find, read, or cite U.S.
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Related
Categories
Questions about Argument Strength Evaluation
What does Argument Strength Evaluation do?
After an AI agent completes a segment of legal reasoning or argumentation, it must self-assess the resulting conclusion: judge the overall strength and confidence of the argument, and identify and…. Argument Strength Evaluation is an agent skill from THUYRan/Legal-Skills-Chinese. After an AI agent completes a segment of legal reasoning or argumentation, it must self-assess the resulting conclusion: judge the overall strength and confidence of the argument, and identify and flag weak links in the reasoning chain.
When should I use Argument Strength Evaluation?
Argument Strength Evaluation fits situations like: conditions include; but are not limited to: - After completing legal analysis; A reliability rating for the conclusion is needed - The user expressly requests an evaluation of the persuasiveness; contested views) that need to be flagged - Risk warnings are needed for decision-makers.
How do I install Argument Strength Evaluation in Claude Code?
Run `npx skills add THUYRan/Legal-Skills-Chinese --skill argument-strength-evaluation -a claude-code`. Or copy the skill folder (English/skills/argument-strength-evaluation in THUYRan/Legal-Skills-Chinese) into .claude/skills/argument-strength-evaluation in your project. Claude Code loads it when a task matches its description.
How do I install Argument Strength Evaluation in Codex?
Run `npx skills add THUYRan/Legal-Skills-Chinese --skill argument-strength-evaluation -a codex`. Or copy the skill folder (English/skills/argument-strength-evaluation in THUYRan/Legal-Skills-Chinese) into .agents/skills/argument-strength-evaluation in your project. Codex loads it when a task matches its description.
Can I use Argument Strength Evaluation 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 THUYRan/Legal-Skills-Chinese --skill argument-strength-evaluation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/argument-strength-evaluation, .gemini/skills/argument-strength-evaluation, .github/skills/argument-strength-evaluation and .opencode/skills/argument-strength-evaluation in your project.
What does Argument Strength Evaluation need to run?
SKILL.md names no scripts, command-line tools or credentials: Argument Strength Evaluation is instructions for the agent only.
Does Argument Strength Evaluation access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Argument Strength Evaluation 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. Review the folder before installing.
What licence does Argument Strength Evaluation use?
No licence was found for Argument Strength Evaluation or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Argument Strength Evaluation use?
About 13k tokens (SKILL.md is roughly 51k 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 Argument Strength Evaluation?
Skills that share tags, products or a category with Argument Strength Evaluation: Tw Legal RAG (aa0101181514/tw-legal-rag, 328 stars), Design Award Search (SeanJ1ang/design-judge-skills, 712 stars), China Lawyer Analyst (CSlawyer1985/china-lawyer-analyst, 196 stars) and Legal Issue Research (Golden2002/legal-research-skill, 156 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Argument Strength Evaluation?
THUYRan (a GitHub user) maintains it in THUYRan/Legal-Skills-Chinese, which has 873 GitHub stars. The repository holds 71 skills in this directory. The repository was last updated on August 22, 2026.
Source: THUYRan/Legal-Skills-Chinese on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.