linkfox-zhihuiya-claim-data

linkfox-zhihuiya-claim-data is a skill for Claude Code, Codex from linkfox-ai/linkfox-skills. It costs 154 tokens per session (2,105 once invoked), scanned A, original, MIT.

A patent-database lookup tool for retrieving the claims section of a patent from Zhihuiya (PatSnap). Patent claims define the legal boundaries of what the patent protects.

In plain words
What is it for?
Use it to retrieve claim text, claim counts, claim trees, and information about claim scope or language for specific patents.
Why use it?
It avoids manually opening patent documents and finding, counting, or comparing independent and dependent claims. It helps users inspect the exact claim wording and structure.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code.

not rated 101repo +6 22d ago A scan Socket: passSnyk: warnSkillSpector: warn 154 tokens original MIT

Good fit Use it to retrieve claim text, claim counts, claim trees, and information about claim scope or language for specific patents.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/linkfox-ai/linkfox-skills/linkfox-zhihuiya-claim-data
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-claim-data
Clone the repo
git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for linkfox-zhihuiya-claim-data

README.md
[![agentmods](https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-zhihuiya-claim-data/github.svg)](https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-zhihuiya-claim-data)
Your own site
<a href="https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-zhihuiya-claim-data"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-zhihuiya-claim-data/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for linkfox-zhihuiya-claim-data

Your own site · 80×15
<a href="https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-zhihuiya-claim-data"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-zhihuiya-claim-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 154 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,105 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 22 Apr 2026
  • Snyk warn 22 Apr 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high System Prompt Leakage · line 98
    Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.
    Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00154 $0.02105
Opus 5 $0.00077 $0.01052
Sonnet 5 $0.00031 $0.00421
Haiku 4.5 $0.00015 $0.00211

Measured 9d ago against content hash 16da532eae8b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

linkfox-zhihuiya-claim-data scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/onboarding.py, scripts/zhihuiya_claim_data.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/linkfox-zhihuiya-claim-data/SKILL.md · 153 lines

How it starts

The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Zhihuiya Patent Claims Data

This skill guides you on how to retrieve and present patent claims data from the Zhihuiya (PatSnap) patent database, helping IP professionals, patent analysts, and R&D teams quickly access the claims section of any patent.

调用方式

  • API 端点POST /zhihuiya/claimData(完整参数/响应/错误码见 references/api.md
  • Python 脚本python scripts/zhihuiya_claim_data.py '<JSON 参数>' [--inline]
  • 成本约束:本工具会消耗积分;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-claim-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)
  • --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 jqConvertFrom-Json 从保存的 json 文件按需抽取,避免整份 JSON 进入上下文。

解决认证和积分问题

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
  • 响应提示积分或余额不足:消息含"积分余额不足/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。

Core Concepts

Patent claims define the legal scope of protection granted by a patent. They are the most critical part of a patent document for infringement analysis, freedom-to-operate assessments, and prior art comparisons. This tool retrieves the full set of claims for one or more patents by their patent ID or publication number.

Family substitution: When a patent's claims are unavailable in the database, you can optionally request that claims from a related family member patent be returned instead. This is controlled by the replaceByRelated parameter.

Data Fields

Field API Name Description Example
Patent ID patentId Internal Zhihuiya patent identifier 98a1b2c3-...
Publication Number pn Publication or grant number of the patent CN115000000A
Related PN pnRelated Publication number of the family member used as substitute (only present when family substitution occurred) US20230001234A1
Claims claims Array of claim objects containing the claim text and metadata [...]
Claim Count claimCount Total number of claims in the patent 15

Read the full file on GitHub · 153 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 153 lines · 154 tokens per session scan A 16da532eae8b

Subscribe to this mod's changes

linkfox-zhihuiya-claim-data is a skill published in the GitHub repository linkfox-ai/linkfox-skills (101 stars, last pushed 22d ago), licensed MIT. It adds 154 tokens to every session and 2,105 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

Other skills, from other repositories

specification-writing

A workflow for writing complete patent specifications from patent claims and an invention disclosure. It adapts the document to a chosen jurisdiction, such as the US, Europe, or China.

wanshuiyin/Auto-claude-code-research-in-sleep · 49 tokens

regulatory-research-fallback

Fallback workflow for regulatory research when web extraction tools fail on government PDFs.

HKUDS/OpenSpace · 20 tokens

x-scorecard

OpenSSF Scorecard for assessing open source project security. Check security best practices and compliance. Dependency: This is an x-cmd module. Install x-cmd first (see x-cmd skill for installation options). see x-cmd skill for installation.

x-cmd/x-cmd · 57 tokens

gesellschaftsrechtliche-satzungen-agb

Für Gesellschaftsrechtliche Satzungen AGB Abgrenzung: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: AGB-Recht-Prüfer. Route: gesellschaftsrechtliche-satzungen-agb.

Klotzkette/claude-fuer-deutsches-recht · 69 tokens

memstack-business-gdpr

Use this skill when the user says 'GDPR', 'data protection', 'privacy compliance', 'DPA', 'DSAR', 'data subject request', 'cookie consent', 'privacy audit', 'CCPA', or asks 'do I need GDPR for this repo'. Scans the repository to detect what personal data is collected, classifies sensitivity, determines whether GDPR…

cwinvestments/memstack · 121 tokens

nda-review

Use when the user uploads or pastes a non-disclosure agreement and asks for review, redline, risk assessment, or a recommendation on whether to sign. Identifies missing standard protections, one-sided or unusual provisions, and operational issues; produces a structured report with severity ratings and citations to…

LegalQuants/lq-ai · 79 tokens