Real Skill packageSource verifiedClawHub registry

patent-panorama-insights

当用户需要基于 PatSnap 或智慧芽专利 MCP/API 数据开展专利全景、专利版图、竞争专利情报、技术路线图、组合规划、产品/R&D 策略项目时使用本技能——无论用户显式调用 /patent-panorama-insights（或 @patent-panorama-insights），还是用自然语言描述这类专利分析任务。本技能编排五层流水线：环节1检索与降噪（patent-panorama-insights-search）、环节2全景统计与价值挖掘（patent-panorama-insights-stats）、环节3标引体系推荐（patent-panorama-insights-tag）、客户 SaaS 工具中的人工标引交接，以及环节4有证据支撑的单文件 HTML 报告（patent-panorama-insights-report），并管理各层之间的检查点、人工标引交接、回滚和进度汇报。

Identity and source

Publisher attributionyuanzhian-patsnapregistry owner unverified by skillvetai
Functional categorySearch, Research & Knowledgeautomatically inferred · 56% rule confidence
Package forminstruction bundle12 recorded files
Canonical sourceClawHub registryclawhub:yuanzhian-patsnap:patent-panorama-insights
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/patent-panorama-insights

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/patent-panorama-insights

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/patent-panorama-insights

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/patent-panorama-insights
clawhub inspect @yuanzhian-patsnap/patent-panorama-insights --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
12 / 12 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
3 dependency and API indicators
  • api: clawhub.ai
  • api: github.com
  • api: open.zhihuiya.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, 8:26:57 AM
Release binding
Matches this record
  • vt: clean
  • skillspector: clean
  • llm: clean

Recorded files

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

Package content hashsha256:1f259100e9bfa25ab3f088313267beb9303d69343e9c6cfc7792d391d228ae75
Show up to 12 recorded paths
  • README.md
  • references/query-and-taxonomy-methodology.md
  • references/report-html-blueprint.md
  • references/report-visual-style.md
  • references/scenario-asset-and-risk-signals.md
  • references/scenario-competitor-portrait.md
  • references/scenario-industry-landscape.md
  • references/scenario-patent-package-and-index.md
  • references/scenario-solution-deep-dive.md
  • references/scenario-technology-evolution.md
  • skill-card.md
  • SKILL.md

Source changelog

Patent Panorama Insights v1.0.0 — Initial Release - Introduces a comprehensive multi-stage workflow for patent panorama, landscape, competitor intelligence, technology roadmap, and portfolio planning projects, orchestrated over PatSnap (智慧芽) MCP/API data. - Implements five main pipeline layers: retrieval & denoising, panorama statistics & value insights, tagging system recommendation, manual client tagging, and evidence-backed HTML report generation. - Ensures robust tool configuration with mandatory PatSnap MCP endpoints self-check before workflow execution. - Provides default settings and structured input prompts while supporting user customization. - Standardizes progress reporting with clear check-ins, checkpoints, and handoff steps for user and client input. - Applies precise task eligibility and operational principles to maintain transparency and decision-driven outputs.