Paper to Chinese Patent Drafter
Yuan1z0825/nature-skills
Drafts Chinese invention patent applications and technical disclosures from research papers or inventor materials, tying each claim feature to source evidence.
当AI智能体完成一段法律推理或论证后，需要对该推理结论进行自我评估，判断论证的整体强度与置信度，识别并标注推理链条中的薄弱环节。
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/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/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/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/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/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/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/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 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/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/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/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/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/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/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
- ~4.5k tokens
- SKILL.md length
- 551 words
- Files
- 1
- Skills in repo
- 71
- Repo updated
- First seen
- Licence
- None found
At a glance
当AI智能体完成一段法律推理或论证后，需要对该推理结论进行自我评估，判断论证的整体强度与置信度，识别并标注推理链条中的薄弱环节。
- Works in 4 steps: 🔴 最优先：补充规章制度民主程序和公示告知的证据 → 🔴 最优先：查明并论证张某未到岗确属无正当理由的旷工 → 🟠 次优先：补充解除程序合规性论证（通知工会） → …
- Legal & Compliance work in your project
- SKILL.md covers 概述表格, 法律声明, 一、核心概念 and 二、完整工作流程, 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. 当AI智能体完成一段法律推理或论证后，需要对该推理结论进行自我评估，判断论证的整体强度与置信度，识别并标注推理链条中的薄弱环节。 触发条件包括但不限于： - 完成法律分析后需要给出结论可靠性评级 - 用户明确要求评估某一论证的说服力或可靠性 - 存在多个竞争性法律解释需要比较论证强度 - 推理过程中涉及不确定因素（事实不明、法律空白、争议观点）需要标注 - 为决策者提供风险提示，说明结论的局限性 - 对己方或对方的法律论证进行攻防强度评估 - 在法律意见书、备忘录等文书中需要附加置信度说明
Its SKILL.md is about 4.5k 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.
When your agent uses it
- Legal & Compliance work in your project
Example prompts
- “/argument-strength-evaluation”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- 🔴 最优先：补充规章制度民主程序和公示告知的证据
- 🔴 最优先：查明并论证张某未到岗确属无正当理由的旷工
- 🟠 次优先：补充解除程序合规性论证（通知工会）
- 🟡 建议：预见并回应对方可能的抗辩
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 4.5k tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 551 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 551 words (~4,525 tokens).
- name
- argument-strength-evaluation
Files
Just SKILL.md in 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 | — | ~4.5k | Automated safety check: Pass | None | |
| Paper to Chinese Patent DrafterYuan1z0825/nature-skills | 47k | 1 repos | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| C15tc15t/c15t | 1.9k | 1 repos | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Contract Reviewevolsb/claude-legal-skill | 464 | 1 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Legal Clinic Client Intakeanthropics/claude-for-legal | 9.6k | 3 repos | ~3.2k | Automated safety check: Pass | Apache-2.0 | |
| Paper To Cn Patentsnipp-zha/Paper-to-patent-Skill | 106 | 1 repos | ~959 | Automated safety check: Pass | None |
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Paper To Cn Patent
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Convert scientific papers, theses, technical reports, source code, figures, or research manuscripts into evidence-grounded Chinese invention patent drafts.
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Related
Categories
Questions about Argument Strength Evaluation
What does Argument Strength Evaluation do?
当AI智能体完成一段法律推理或论证后，需要对该推理结论进行自我评估，判断论证的整体强度与置信度，识别并标注推理链条中的薄弱环节。. Argument Strength Evaluation is an agent skill from THUYRan/Legal-Skills-Chinese.
When should I use Argument Strength Evaluation?
Argument Strength Evaluation fits situations like: legal & Compliance work in your project.
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 (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 (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 4.5k tokens (SKILL.md is roughly 18k 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: Paper to Chinese Patent Drafter (Yuan1z0825/nature-skills, 47k stars), C15t (c15t/c15t, 1.9k stars), Contract Review (evolsb/claude-legal-skill, 464 stars) and Legal Clinic Client Intake (anthropics/claude-for-legal, 9.6k 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.