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.
通过专利ID或公开号从智慧芽专利数据库获取专利说明书（描述）数据。当用户提到专利说明书、专利全文、专利技术描述、专利实施方式详情、智慧芽说明书数据、patent specification, patent full text, technical description, embodiment details, PatSnap, patent detailed…
Install Linkfox Zhihuiya Description Data
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-description-data -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-zhihuiya-description-data --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/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/linkfox-zhihuiya-description-data .claude/skills/linkfox-zhihuiya-description-data && 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 "linkfox-zhihuiya-description-data" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-zhihuiya-description-data into .claude/skills/linkfox-zhihuiya-description-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-zhihuiya-description-data", 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/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-zhihuiya-description-dataType 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 linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-description-data -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-zhihuiya-description-data --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/linkfox-zhihuiya-description-data .agents/skills/linkfox-zhihuiya-description-data && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "linkfox-zhihuiya-description-data" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-zhihuiya-description-data into .agents/skills/linkfox-zhihuiya-description-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-zhihuiya-description-data", 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 linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-description-data -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-zhihuiya-description-data --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/linkfox-zhihuiya-description-data .cursor/skills/linkfox-zhihuiya-description-data && 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 "linkfox-zhihuiya-description-data" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-zhihuiya-description-data into .cursor/skills/linkfox-zhihuiya-description-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-zhihuiya-description-data", 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/linkfox-ai/linkfox-skills.git --path skills/linkfox-zhihuiya-description-data--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 linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-description-data -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-zhihuiya-description-data --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/linkfox-zhihuiya-description-data .gemini/skills/linkfox-zhihuiya-description-data && 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 "linkfox-zhihuiya-description-data" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-zhihuiya-description-data into .gemini/skills/linkfox-zhihuiya-description-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-zhihuiya-description-data", 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 linkfox-ai/linkfox-skills linkfox-zhihuiya-description-dataInstalls 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 linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-description-data -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/linkfox-zhihuiya-description-data .github/skills/linkfox-zhihuiya-description-data && 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 "linkfox-zhihuiya-description-data" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-zhihuiya-description-data into .github/skills/linkfox-zhihuiya-description-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-zhihuiya-description-data", 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 linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-description-data -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-zhihuiya-description-data --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/linkfox-zhihuiya-description-data .opencode/skills/linkfox-zhihuiya-description-data && 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 "linkfox-zhihuiya-description-data" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-zhihuiya-description-data into .opencode/skills/linkfox-zhihuiya-description-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-zhihuiya-description-data", 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
linkfox-zhihuiya-description-data- GitHub stars
- 107
- Used in
- 1 other repo
- Token cost
- ~1.9k tokens
- SKILL.md length
- 854 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 177
- Repo updated
- First seen
- Licence
- MIT
At a glance
通过专利ID或公开号从智慧芽专利数据库获取专利说明书（描述）数据。当用户提到专利说明书、专利全文、专利技术描述、专利实施方式详情、智慧芽说明书数据、patent specification, patent full text, technical description, embodiment details, PatSnap, patent detailed…
- Works in 6 steps: Present data faithfully: Show the… → Structured output: When the description… → Family substitution notice: If the… → …
- Tasks that involve Intellectual property
- SKILL.md covers Core Concepts, Parameters, Response Fields and 调用方式, plus 7 more sections
- Runs Python scripts from its folder; calls python; needs LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY
What it does
Linkfox Zhihuiya Description Data is an agent skill from linkfox-ai/linkfox-skills. 通过专利ID或公开号从智慧芽专利数据库获取专利说明书（描述）数据。当用户提到专利说明书、专利全文、专利技术描述、专利实施方式详情、智慧芽说明书数据、patent specification, patent full text, technical description, embodiment details, PatSnap, patent detailed description时触发此技能。即使用户未明确说"智慧芽"，只要其需要查看一项或多项专利的完整说明书/描述内容，也应触发此技能。
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/api.md`, `references/onboarding.md` and `scripts/onboarding.py`).
It sits in Legal & Compliance, covering Intellectual property. The licence is MIT.
When your agent uses it
- Tasks that involve Intellectual property
Example prompts
- “/linkfox-zhihuiya-description-data”
Requirements
- Python 3
- A credential in LINKFOX_AGENT_API_KEY
- A credential in LINKFOXAGENT_API_KEY
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Present data faithfully: Show the returned description content clearly without altering technical details or adding subjective…
- Structured output: When the description contains multiple sections (background, summary, detailed description, claims, etc.), present them…
- Family substitution notice: If the response includes a pnRelated field, explicitly inform the user that the description was sourced from a…
- Batch results: When multiple patents are returned, clearly separate each patent's content with its publication number as a heading.
- Error handling: When a query fails or returns no data, explain the reason and suggest the user verify the patent ID or publication number.
- Large content warning: Patent descriptions can be very long. Summarize key sections first and offer to show the full text if the user…
What it can do on your machine
Read from SKILL.md and the folder at commit 38fef04. 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 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
skill.linkfox.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
LINKFOX_AGENT_API_KEYLINKFOXAGENT_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Linkfox Zhihuiya Description Data loads about 1.9k tokens when it runs, and up to ~3.5k if it reads all its reference files. Until then it costs about 71 tokens; SKILL.md has 854 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
The full file from linkfox-ai/linkfox-skills at commit 38fef04, republished under its MIT licence (© linkfox-ai). 854 words, ~1,949 tokens.
Download SKILL.mdSave it as
.claude/skills/linkfox-zhihuiya-description-data/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- linkfox-zhihuiya-description-data
- description
- 通过专利ID或公开号从智慧芽专利数据库获取专利说明书（描述）数据。当用户提到专利说明书、专利全文、专利技术描述、专利实施方式详情、智慧芽说明书数据、patent specification, patent full text, technical description, embodiment details, PatSnap, patent detailed description时触发此技能。即使用户未明确说"智慧芽"，只要其需要查看一项或多项专利的完整说明书/描述内容，也应触发此技能。
Zhihuiya Patent Description Data
This skill guides you on how to query patent description (specification) data from the Zhihuiya patent database, helping users retrieve the full-text description content of specific patents.
Core Concepts
A patent description (also called the specification) is the detailed technical document that accompanies a patent filing. It discloses how the invention works, preferred embodiments, and other technical details required by patent law. This tool queries the Zhihuiya database to return description data for one or more patents identified by their internal patent ID or public publication number.
Identifier priority: When both a patent ID and a publication number are provided for the same query, the patent ID takes precedence.
Family substitution: If the description for a given patent is unavailable, the tool can optionally return the description from a related family member patent instead.
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
| patentId | string | Conditionally | Internal patent ID. At least one of patentId or patentNumber must be provided. Multiple values separated by commas; max 100. |
| patentNumber | string | Conditionally | Publication / announcement number. At least one of patentId or patentNumber must be provided. Multiple values separated by commas; max 100. |
| replaceByRelated | string | No | Whether to substitute a family patent's description when the target patent's description is unavailable. 1 = yes, 0 = no. |
Response Fields
| Field | Type | Description |
|---|---|---|
| total | integer | Number of patent records returned |
| data | array | List of patent description objects |
| data[].patentId | string | Patent ID |
| data[].pn | string | Publication number |
| data[].pnRelated | string | Publication number of the substitute family patent (only present when family substitution is used) |
| data[].description | array | Description / specification content sections |
| columns | array | Column definitions for rendering |
| costToken | integer | Tokens consumed by the query |
| type | string | Rendering style hint |
调用方式
- API 端点：
POST /zhihuiya/descriptionData（完整参数/响应/错误码见references/api.md） - Python 脚本：
python scripts/zhihuiya_description_data.py '<JSON 参数>' [--inline] - 成本约束：本工具会消耗算力；同一会话同一参数组合默认只调用一次，脚本带 24h 本地缓存。失败/空结果不得自动换关键词、翻页或改邮编连续试探；需要继续检索时先向用户说明会产生额外消耗。
输出策略（脚本默认行为）：
- 始终将完整响应写入
<cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-zhihuiya-description-data-<timestamp>.json（<cwd>为脚本执行时的工作目录，在 Claude Code 里即当前项目目录；<session>取自环境变量SESSION_ID，按用户任务自动聚合；禁止写入 /tmp，当前目录不可写则报错） - 响应体 ≤ 8 KB：落盘后把完整 JSON 打印到 stdout
- 响应体 > 8 KB：落盘后 stdout 只输出摘要（顶层字段、常见计数如
total/costToken、最大列表字段的长度 + 前 3 条样本） - 加
--inline强制全量打印到 stdout（同样落盘）
读数据建议：先看摘要判断是否足够；需要具体字段时优先用 jq或ConvertFrom-Json 从保存的 json 文件按需抽取，避免整份 JSON 进入上下文。
解决认证和算力问题
发生以下异常情况时，采用 references/onboarding.md 引导解决问题：
异常情况
- 未配置API Key：环境变量未配置
LINKFOX_AGENT_API_KEY，也未配置LINKFOXAGENT_API_KEY。 - 响应401或402状态码
- 响应提示算力或余额不足：消息含"算力余额不足/计费不足/余额不足/quota exceeded/insufficient balance/套餐到期/需充值/请充值"，或类似含义的内容。
How to Build Queries
Querying by Publication Number
When users provide a patent publication number (e.g., CN115099012A, US20230012345A1), pass it via the patentNumber parameter:
patentNumber: "CN115099012A"Querying by Patent ID
When users provide internal Zhihuiya patent IDs, pass them via the patentId parameter:
patentId: "abc123def456"Batch Queries
Both patentId and patentNumber accept comma-separated values for batch lookups (up to 100):
patentNumber: "CN115099012A,US20230012345A1,EP4123456A1"Family Substitution
When a patent's description is not available in the database and the user still wants content, enable family substitution:
patentNumber: "CN115099012A"
replaceByRelated: "1"Usage Examples
1. Look up a single patent description by publication number
patentNumber: "CN115099012A"2. Look up descriptions for multiple patents at once
patentNumber: "CN115099012A,US20230012345A1"3. Look up with family substitution enabled
patentNumber: "CN115099012A"
replaceByRelated: "1"4. Look up by patent ID
patentId: "some-patent-id"Show full SKILL.md (403 more words)Show less
Display Rules
- Present data faithfully: Show the returned description content clearly without altering technical details or adding subjective interpretation.
- Structured output: When the description contains multiple sections (background, summary, detailed description, claims, etc.), present them with clear headings for readability.
- Family substitution notice: If the response includes a
pnRelatedfield, explicitly inform the user that the description was sourced from a related family patent and state the substitute publication number. - Batch results: When multiple patents are returned, clearly separate each patent's content with its publication number as a heading.
- Error handling: When a query fails or returns no data, explain the reason and suggest the user verify the patent ID or publication number.
- Large content warning: Patent descriptions can be very long. Summarize key sections first and offer to show the full text if the user wants it.
Important Limitations
- Identifier requirement: At least one of
patentIdorpatentNumbermust be provided; the tool cannot search by keyword or applicant name. - Batch limit: A maximum of 100 patents can be queried in a single request.
- Availability: Not all patents have descriptions available in the database. Use
replaceByRelated: "1"to attempt family substitution when needed. - Priority rule: If both
patentIdandpatentNumberare supplied,patentIdtakes precedence.
User Expression & Scenario Quick Reference
Applicable -- Queries about patent description / specification content:
| User Says | Scenario |
|---|---|
| "Show me the description of patent XX" | Single patent description lookup |
| "Get the full specification for these patents" | Batch patent description retrieval |
| "I need the detailed text of CN115099012A" | Lookup by publication number |
| "Can you find a family patent's description instead" | Family substitution query |
| "What does this patent describe technically" | Description content review |
Not applicable -- Needs beyond patent description data:
- Patent search by keyword, applicant, or classification
- Patent claim analysis or claim chart generation
- Patent legal status or prosecution history
- Patent landscape or statistical analysis
- Freedom-to-operate or infringement opinions
算力消耗规则
按动态规则计费：消耗算力 = 81 × 返回data条数。每条为 1 条专利说明书结果
重要：本技能的服务按倍数动态计算，可能一次性消耗大量算力，必须提醒用户，由用户决定是否继续。
Feedback:
Auto-detect and report feedback via the Feedback API when any of the following apply:
- The functionality or purpose described in this skill does not match actual behavior
- The skill's results do not match the user's intent
- The user expresses dissatisfaction or praise about this skill
- Anything you believe could be improved
Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.
For more high-quality, professional cross-border e-commerce skills, set LinkFox Skills.
© linkfox-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 4 other files (scripts, references) in skills/linkfox-zhihuiya-description-data of linkfox-ai/linkfox-skills.
- SKILL.md
- references/api.md
- references/onboarding.md
- scripts/onboarding.py
- scripts/zhihuiya_description_data.py
Open the folder on GitHubat commit 38fef04
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in linkfox-ai/linkfox-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Linkfox Zhihuiya Description Data 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 |
|---|---|---|---|---|---|---|
| Linkfox Zhihuiya Description Data this skilllinkfox-ai/linkfox-skills | 107 | 1 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Paper to Chinese Patent DrafterYuan1z0825/nature-skills | 47k | 1 repos | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Paper To Cn Patentsnipp-zha/Paper-to-patent-Skill | 107 | 1 repos | ~959 | Automated safety check: Pass | None | |
| Patent Examinegfodor/legal-skills | 393 | — | ~4.8k | Automated safety check: Pass | GPL-3.0 | |
| Patent Auditgfodor/legal-skills | 393 | — | ~2.9k | Automated safety check: Pass | GPL-3.0 | |
| Replica BrandJakeschincariol/replica-skill | 1.4k | — | ~1.1k | Automated safety check: Pass | MIT |
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通过亚马逊前台的 Alexa 购物助手发起自然语言问答，获取与问题相关的导购回答、推荐商品分组、ASIN 列表，以及可继续追问的问题。每次调用仅支持 1 条 prompt，如需追问须由 agent 总结上下文后拼接新问题发起新请求。可用 url 补充亚马逊页面上下文。当用户提到亚马逊 Alexa、Alexa 购物助手、亚马逊智能助手、AI…
Linkfox Amazon Opportunity Search By Metrics
linkfox-ai/linkfox-skills
亚马逊反向选品：基于历史商业洞察报告沉淀的指标数据池，按 30+ 项商业维度（市场规模与增长、价格区间与档位份额、竞争密度与头部集中度、人群画像如年龄/性别/收入、评论卖点与痛点等）反向筛选亚马逊赛道与关键词。当用户提到反向选品、指标筛选、细分市场反查、蓝海赛道挖掘、低竞争赛道、新人友好赛道、品牌分散市场、痛点切入、卖点反查、定价档位机会、人群画像选品、Amazon niche reverse…
Linkfox Amazon Product Detail
linkfox-ai/linkfox-skills
通过ASIN获取亚马逊商品详细信息，包括标题、图片、五点描述、规格参数、A+页面、价格、评分评论、变体等；可在取得原始HTML时尝试提取Item Highlights（商品亮点）。当用户提到亚马逊商品详情、ASIN查询、商品页面数据、Listing分析、五点描述提取、Item…
Linkfox Amazon Reviews List
linkfox-ai/linkfox-skills
按ASIN获取并分析亚马逊商品评论，支持15个站点(含美国站)，按星级筛选评论。当用户提到亚马逊评论、美国站评论、商品评价、买家投诉、差评、好评、星级评分、评论分析、评论情感、产品改良建议、Vine评论、已验证购买评论、竞品评论研究、Amazon reviews, US reviews, Amazon.com reviews, product feedback, negative review…
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Questions about Linkfox Zhihuiya Description Data
What does Linkfox Zhihuiya Description Data do?
通过专利ID或公开号从智慧芽专利数据库获取专利说明书（描述）数据。当用户提到专利说明书、专利全文、专利技术描述、专利实施方式详情、智慧芽说明书数据、patent specification, patent full text, technical description, embodiment details, PatSnap, patent detailed…. Linkfox Zhihuiya Description Data is an agent skill from linkfox-ai/linkfox-skills.
When should I use Linkfox Zhihuiya Description Data?
Linkfox Zhihuiya Description Data fits situations like: tasks that involve Intellectual property.
How do I install Linkfox Zhihuiya Description Data in Claude Code?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-description-data -a claude-code`. Or copy the skill folder (skills/linkfox-zhihuiya-description-data in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-zhihuiya-description-data in your project. Claude Code loads it when a task matches its description.
How do I install Linkfox Zhihuiya Description Data in Codex?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-description-data -a codex`. Or copy the skill folder (skills/linkfox-zhihuiya-description-data in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-zhihuiya-description-data in your project. Codex loads it when a task matches its description.
Can I use Linkfox Zhihuiya Description Data 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 linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-description-data -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/linkfox-zhihuiya-description-data, .gemini/skills/linkfox-zhihuiya-description-data, .github/skills/linkfox-zhihuiya-description-data and .opencode/skills/linkfox-zhihuiya-description-data in your project.
What does Linkfox Zhihuiya Description Data need to run?
Going by SKILL.md and its folder, Linkfox Zhihuiya Description Data needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY. Our summary lists: Python 3; A credential in LINKFOX_AGENT_API_KEY; A credential in LINKFOXAGENT_API_KEY.
Does Linkfox Zhihuiya Description Data access the network?
SKILL.md names 1 domain. As links in the text: skill.linkfox.com. This is read from the text; nothing was executed.
Is Linkfox Zhihuiya Description Data 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 Linkfox Zhihuiya Description Data use?
Linkfox Zhihuiya Description Data is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Linkfox Zhihuiya Description Data use?
About 1.9k tokens (SKILL.md is roughly 7.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.6k tokens, read only when the agent opens those files.
What are the alternatives to Linkfox Zhihuiya Description Data?
Skills that share tags, products or a category with Linkfox Zhihuiya Description Data: Paper to Chinese Patent Drafter (Yuan1z0825/nature-skills, 47k stars), Paper To Cn Patent (snipp-zha/Paper-to-patent-Skill, 107 stars), Patent Examine (gfodor/legal-skills, 393 stars) and Patent Audit (gfodor/legal-skills, 393 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Linkfox Zhihuiya Description Data?
linkfox-ai (a GitHub user) maintains it in linkfox-ai/linkfox-skills, which has 107 GitHub stars. The repository holds 177 skills in this directory. The repository was last updated on September 14, 2026.
Source: linkfox-ai/linkfox-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.