Real Skill packageSource verifiedClawHub registry

identify-patent-white-space-ip

Identify candidate patent white-space signals from a patent map, technology-effect matrix, technology-application matrix, cluster map, roadmap, or sparse portfolio region; test whether the signal is a search or classification artifact; assess the value of the underlying problem; diagnose route breaks and primary contradictions; and propose two to four principle-level resolution directions. Use for structured innovation-opportunity exploration from patent-map evidence. Require explicit user confirmation after candi…

Identity and source

Publisher attributionyuanzhian-patsnapregistry owner unverified by skillvetai
Functional categorySearch, Research & Knowledgeautomatically inferred · 56% rule confidence
Package forminstruction bundle4 recorded files
Canonical sourceClawHub registryclawhub:yuanzhian-patsnap:identify-patent-white-space-ip
Open canonical source ↗

Platform declarations

These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.

OpenClawnative officialProvenance: registry distribution

Independent structural checks

These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.

Claude Codepasses structure
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 8/13/2026.claude/skills/identify-patent-white-space-ip

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenAI Codexpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 8/13/2026.agents/skills/identify-patent-white-space-ip

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenClawpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+openclaw-docs-2026-08-13 · 8/13/2026skills/identify-patent-white-space-ip

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

Installation and inspection

This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.

clawhub install @yuanzhian-patsnap/identify-patent-white-space-ip
clawhub inspect @yuanzhian-patsnap/identify-patent-white-space-ip --version 1.0.0

Security evidence

SkillVetAI static result: no findings detected

This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.

Status
completed
Coverage
full text content
Files
4 / 4 inspected as text
Checked
8/13/2026, 7:30:35 PM
Scanner
0.1.3
Policy
1.0.3
2 inferred permission indicators
  • network access — automatically inferred
  • filesystem write — automatically inferred
2 dependency and API indicators
  • api: clawhub.ai
  • api: open.patsnap.com
External clawhub result: clean

This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.

Evidence checked
8/13/2026, 9:34:08 AM
Release binding
Matches this record
  • vt: clean
  • skillspector: suspicious
  • llm: clean

Recorded files

The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.

Package content hashsha256:11dbea60b7d22495a4f342222744f032daa69d47069bebdd499f8c479b1d45e1
Show up to 4 recorded paths
  • references/evaluation-framework.md
  • references/output-templates.md
  • skill-card.md
  • SKILL.md

Source changelog

Initial release of the "identify-patent-white-space-ip" skill for structured innovation opportunity analysis from patent maps: - Identifies candidate white-space signals in patent maps, matrices, cluster maps, and sparse portfolio regions. - Rigorously distinguishes between sparse map signals, underlying problems, causal contradictions, and principle-level resolution directions. - Requires explicit user confirmation after candidate selection and problem-value assessment; never proceeds without confirmation. - Thoroughly tests for false-space artifacts before analysis; never equates low patent count with opportunity value. - Never performs downstream technical, commercial, or legal validation, or recommends specific patent filings. - Adheres to strict input transparency, evidence separation, and reporting templates; all facts and inferences are clearly flagged.