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patent-gap-supply-chain

Competitive intelligence workflow that infers supply-chain relationships from patent gaps — with trade secret assessment, competitive triangulation, negative verification, patent quality scoring, evidence freshness tracking, reverse workflow (supplier→client), and financial cross-validation. 通过"专利缺口"反推产业链关系的竞争情报工作流，集商业秘密评估、竞对三角验证、负向验证、专利质量评分、证据时效追踪、反向工作流（供应商→客户）、财务数据交叉验证于一体。 Use when researching tech/hardware/manufacturing/pharma stocks, analyzing industry supply chains, identifying suppliers or customers, investigating patent gaps, or inferring supply-chain relationships from patent ownership. Supports both forward (patent gap → supplier) and reverse (technology owner → downstream clients) analysis directions. 触发场景：科技股研究、行业分析、产业链推断、供应商识别、客户挖掘、专利缺口分析、专利归属查询、技术依赖分析、上下游推断 / Triggers: patent gap analysis, supply chain inference, supplier identification, customer identification, technology dependency, competitive intelligence, tech stock research, industry analysis, trade secret assessment, negative verification, patent quality, financial cross-validation, reverse supply-chain analysis. The skill starts from a patent gap (or known technology owner), evaluates trade secret likelihood, activates five verification leads with competitive triangulation, runs negative verification to rule out false positives, scores patent quality, tracks evidence freshness, then cross-validates against financial disclosures, outputting a confidence-scored supply-chain inference report.

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Safety

Downloads

1.3k

Updated

Oct 10, 2026

Version

0.1.2

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.3K downloads reported by the source. Last updated 10/10/2026.

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Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

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Vendor: Clawhubvendor · observed Oct 10, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 10, 2026
Adoption signal: 1.3K downloadsadoption · observed Oct 10, 2026
Latest release: 0.1.2release · observed Aug 6, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s1708rbjpe5b8xjv91f2whm2k9883dny:patent-gap-supply-chain

Install using `clawhub skill install s1708rbjpe5b8xjv91f2whm2k9883dny:patent-gap-supply-chain` in an isolated environment before connecting it to live workloads.
No published capability contract is available yet, so validate auth and request/response behavior manually.
Review the upstream CLAWHUB listing at https://clawhub.ai/tianzhiceng297-boop/patent-gap-supply-chain before using production credentials.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-tianzhiceng297-boop-patent-gap-supply-chain/snapshot"

Documentation

CLAWHUB

144,677 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: patent-gap-supply-chain
description: 'Competitive intelligence workflow that infers supply-chain
  relationships from patent gaps — with trade secret assessment, competitive
  triangulation, negative verification, patent quality scoring, evidence
  freshness tracking, reverse workflow (supplier→client), and financial
  cross-validation. 通过"专利缺口"反推产业链关系的竞争情报工作流，集商业秘密评估、竞对三角验证、
  负向验证、专利质量评分、证据时效追踪、反向工作流（供应商→客户）、财务数据交叉验证于一体。
  Use when researching tech/hardware/manufacturing/pharma stocks, analyzing
  industry supply chains, identifying suppliers or customers, investigating
  patent gaps, or inferring supply-chain relationships from patent ownership.
  Supports both forward (patent gap → supplier) and reverse (technology owner →
  downstream clients) analysis directions. 触发场景：科技股研究、行业分析、产业链推断、
  供应商识别、客户挖掘、专利缺口分析、专利归属查询、技术依赖分析、上下游推断 / Triggers:
  patent gap analysis, supply chain inference, supplier identification,
  customer identification, technology dependency, competitive intelligence,
  tech stock research, industry analysis, trade secret assessment, negative
  verification, patent quality, financial cross-validation, reverse
  supply-chain analysis. The skill starts from a patent gap (or known technology
  owner), evaluates trade secret likelihood, activates five verification leads
  with competitive triangulation, runs negative verification to rule out false
  positives, scores patent quality, tracks evidence freshness, then
  cross-validates against financial disclosures, outputting a
  confidence-scored supply-chain inference report.'
version: 0.4.0
agent_created: true
disable: true
---

# Patent Gap Supply Chain Inference

## Overview

This skill implements a competitive intelligence workflow: "patent gap → supply chain inference." Core insight: when target company A's product uses technology T, but A holds no patents related to T, there may be a technology-licensing or supply-chain dependency. By searching T's patent ownership to identify company B, then activating multiple verification leads, one can infer whether B has entered A's supply chain.

**Critical caveat**: A patent gap can also mean A protects T as a **trade secret / know-how** rather than through patents. Patents require public disclosure; many companies (especially in semiconductor processes, chemical formulations, pharma manufacturing) deliberately choose trade secrets. This skill explicitly evaluates this distinction before concluding supply-chain dependency.

**v0.4.0 new capabilities**:
- **Patent quality scoring**: Not all patents are equal. A core patent (broad claims, high citations, PCT family) carries far more weight than a peripheral patent (narrow claims, single jurisdiction). Lead 1 now scores patent quality, not just quantity.
- **Negative verification**: Actively search for evidence that B is NOT A's supplier (revenue mismatch, capacity mismatch, geography, explicit customer lists excluding A). Only when negativ

README.md

# patent-gap-supply-chain

通过"专利缺口"反推产业链关系的竞争情报工作流 skill，适用于 WorkBuddy / Codebuddy / Claude Code / Codex。

A competitive intelligence workflow skill that infers supply-chain relationships from patent gaps. Works with WorkBuddy / Codebuddy / Claude Code / Codex.

---

## 中文说明

### 这是什么

当研究科技股 / 硬件 / 制造 / 医药类公司时，发现标的 A 的产品使用了技术 T，但 A 没有 T 的相关专利——这套 skill 引导从专利缺口切入，**先判断缺口是真实外部依赖还是商业秘密/know-how保护**，再激活五条线索并行验证，竞对三角验证增强信号，**负向验证排除假阳性**，**专利质量评分识别真技术持有者**，**证据时效追踪避免过时结论**，财务数据交叉验证定论，输出带置信度的产业链关系推断报告。

**v0.4.0 新增**：
- **专利质量评分**：不看数量看质量——权利要求宽度、被引影响、同族规模、法律状态四维评分，核心专利(≥8/12)才支撑高置信度
- **负向验证**：主动寻找"B 不是 A 供应商"的证据（收入错配/产品错配/地理不可行/客户名单排除），反证失败正向证据链才成立
- **证据时效追踪**：每条证据带时间戳，>18个月标记为过时并降权，结论不能只靠过时证据

**v0.3.0**：竞对三角验证 + 财务交叉验证 + 反向工作流 + 行业指南 + 真实案例
**v0.2.0**：商业秘密/know-how 评估

### 核心设计

- **商业秘密先排除再定论**：专利缺口可能是商业秘密保护策略，必须先评估
- **专利质量 > 专利数量** (v0.4.0)：一份核心专利胜过几十份外围专利
- **负向验证必做** (v0.4.0)：主动尝试推翻推断，经受住反证的推断才可信
- **证据时效必标** (v0.4.0)：过时证据不能单独支撑高置信度
- **竞对三角验证**：多同行同一缺口 → 同一供应商，是最强信号之一
- **财务交叉验证**：无财报佐证的推断置信度最多"中等"
- **双向工作流**：正向（缺口→供应商）+ 反向（专利所有者→下游客户）
- **专利降级为入口线索**：专利缺口只触发验证，不直接定论

### 安装

    git clone https://github.com/tianzhiceng297-boop/patent-gap-supply-chain.git ~/.workbuddy/skills/patent-gap-supply-chain

或手动复制 `SKILL.md` 和 `references/` 到 `~/.workbuddy/skills/patent-gap-supply-chain/`。

### 触发场景

- "研究 XX 科技股"
- "分析 XX 公司的供应链 / 供应商"
- "查一下 XX 技术的专利归属"
- "XX 公司用了某技术但好像没专利"
- "识别 XX 的供应商"
- "XX 公司的下游客户有哪些？" (反向工作流)
- "哪些公司依赖 XX 的技术？" (反向工作流)

### 适用边界

| 标的类型 | 适用性 |
|---------|--------|
| 硬件 / 制造 / 医药 / 材料 | 强适用 |
| 软件 / 互联网 | 弱适用（降低置信度） |
| 商业模式创新 | 不适用 |

---

## English

### What it is

When researching tech / hardware / manufacturing / pharma companies, you find that target A's product uses technology T, but A holds no patents related to T. This skill starts from the patent gap, **first evaluates whether the gap reflects true external dependency or deliberate trade secret / know-how protection**, then activates five parallel verification leads, competitive triangulation, **negative verification**, **patent quality scoring**, **evidence freshness tracking**, and financial cross-validation, outputting a confidence-scored supply-chain inference report.

**New in v0.4.0**:
- **Patent quality scoring**: 4-factor quality score (claim breadth, citations, family size, legal status). Core patents (≥8/12) support high confidence; peripheral patents cap at low.
- **Negative verification**: Actively search for evidence that B is NOT A's supplier. Inference survives active disproof attempts or is down-weighted.
- **Evidence freshness tracking**: Every evidence item carries a timestamp. Stale (>18 months) evidence is down-weighted; conclusions cannot rest primarily on stale evidence.

**v0.3.0**: competitive triangulation + financial cross-validation + reverse workflow + industry guide + real case
**v0.2.0**: trade secret / know-how assessment

### Core design

- **Trade secrets rul

_meta.json

{
  "ownerId": "kn718c4g4psbwaq7bt8ft547cd8827z6",
  "slug": "patent-gap-supply-chain",
  "version": "0.1.2",
  "publishedAt": 1785984616328
}

references/checklists.md

# Checklists and Confidence Rules

## Alternative-Hypothesis Checklist

For each inference, check each item and explicitly exclude alternative explanations.

### Alternative explanations for the patent gap
- [ ] Does A's patent gap stem from a cross-licensing agreement? (check announcements / news)
- [ ] Did A inherit T usage rights via an acquisition? (check M&A history)
- [ ] Does T belong to a patent pool? (e.g., Avanci, MPEG-LA, Via Licensing)
- [ ] Is there an open-source implementation of T? (check open-source projects)
- [ ] Does A hold T patents via a subsidiary / affiliate? (check related-entity patents)
- [ ] Does A deliberately protect T as a trade secret / know-how rather than patenting it? (run Trade Secret Indicators checklist)
- [ ] Is the patent gap simply because T is a purchased component that A has no reason to patent? (common in consumer electronics — weak signal)

### Alternative explanations for "B entered the supply chain"
- [ ] Is B an NPE (non-practicing entity)? If so, B licenses only and is not in the supply chain
- [ ] Does A use B's patent indirectly via a third-party module? The third party is the supplier; B is its upstream
- [ ] Is B only a patent licensor with no physical transaction with A?
- [ ] Is the A-B tie purely financial investment, not business cooperation?
- [ ] Is the A-B relationship economically immaterial? (financial cross-validation required to exclude)

## Patent Quality Scoring (NEW v0.4.0)

**Principle**: Patent count is a weak signal. Quality matters. A core patent family outweighs dozens of peripheral patents. Apply this scoring to Lead 1 (patent ownership) and to Step 2B (dominance confirmation).

### Factor 1 · Claim breadth (0-3)
- [ ] 3: Independent claims covering the core mechanism/architecture, broad scope
- [ ] 2: Claims cover a specific implementation, moderate scope
- [ ] 1: Claims cover a narrow detail/variant
- [ ] 0: Claims are process-only or trivial

### Factor 2 · Citation impact (0-3)
- [ ] 3: High forward citations (top decile in field); later patents build on it
- [ ] 2: Moderate citations; some later work references it
- [ ] 1: Few citations
- [ ] 0: Never cited

### Factor 3 · Family size (0-3)
- [ ] 3: PCT + multiple national entries (US/EU/CN/JP/KR)
- [ ] 2: PCT application, few national entries
- [ ] 1: Single jurisdiction (e.g., CN only)
- [ ] 0: Provisional/unpublished

### Factor 4 · Legal status (0-3)
- [ ] 3: Granted AND maintenance fees paid (active)
- [ ] 2: Granted but recently filed; maintenance status unknown
- [ ] 1: Under examination / pending
- [ ] 0: Lapsed, revoked, abandoned, or transferred to shell

### Quality levels
- **Core patent**: total ≥8/12 — broad claims, high citations, international family, active legal status
- **Supporting patent**: total 4-7/12
- **Peripheral patent**: total 0-3/12 — narrow, uncited, single-jurisdiction, or lapsed

### Impact on confidence
- B holds Core patents in T →

references/industry-guide.md

# Industry-Specific Patent & Trade Secret Guide

Different industries have fundamentally different patent/trade-secret dynamics. This guide provides vertical-specific signals, verification strategies, and common pitfalls.

---

## 1. Semiconductor

### Patent vs. Trade Secret Dynamics
- **Manufacturing processes** (lithography, etching, deposition, packaging): Overwhelmingly trade secrets. TSMC, Samsung, Intel do NOT patent their process recipes. The 6-indicator trade secret assessment will almost always score 4+.
- **Chip architectures / designs** (ISA, microarchitecture, interconnects): Strong patent coverage. ARM, x86, RISC-V are heavily patented.
- **EDA tools / design methodologies**: Mixed. Some patented, some trade-secret algorithms.

### Key Signals
- A foundry's process node advancement without corresponding patents → trade secret, not gap
- Fabless companies (e.g., MediaTek, UNISOC) lacking process patents → expected, they don't manufacture
- Equipment makers (e.g., ASML, AMAT, LAM) → strong patent portfolios, less trade secret reliance

### Verification Strategy
- **Teardown > everything else**: Chip teardowns (TechInsights, ICWorks) are the gold standard
- **Patent gap in chip design**: meaningful signal for IP licensing (e.g., ARM architecture license)
- **Patent gap in manufacturing**: almost always trade secret, do not infer supplier dependency
- **Financial cross-validation**: check foundry customer concentration in annual reports

### Common A-Share Examples
- SMIC (中芯国际): Process patents are sparse vs. TSMC; this reflects technology gap + trade secret strategy, not external sourcing
- Hygon (海光信息): x86 license from AMD → genuine IP dependency
- Cambricon (寒武纪): AI chip architecture patents → strong internal IP

---

## 2. Pharmaceuticals

### Patent vs. Trade Secret Dynamics
- **Compound patents** (small molecule structures): Heavily patented. The molecule IS the product.
- **Manufacturing processes** (synthesis routes, purification, formulation): Often trade secrets. Same drug, different manufacturers may use different routes.
- **Clinical trial data**: Regulatory exclusivity + trade secrets, not patents.
- **Biologics / Biosimilars**: Complex mix. Cell line development and culture conditions are trade secrets.

### Key Signals
- Drug A has expired compound patent but no generic versions → manufacturing process is the barrier (trade secret or new process patent)
- Biologic has zero process patents → expected, cell culture conditions are trade secrets
- ANDA (generic drug application) filings → reveals which companies are trying to enter

### Verification Strategy
- **Patent expiry + generic entry timing**: The most reliable signal
- **DMF (Drug Master File) filings**: Companies filing DMFs for an API are the actual suppliers
- **CDE (药审中心) registration data**: China-specific regulatory filings
- **Procurement/tender data**: Hospital procurement records, centralized drug procuremen

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