Install
openclaw skills install @yuanzhian-patsnap/match-technology-transfer-opportunities-ipEvaluate a supplied technology or scoped technology portfolio, identify and rank evidence-backed potential licensees, acquirers, commercialization partners, or joint-development partners, assess transfer readiness and risks, and generate an auditable HTML decision-support report. Use for technology transfer, research commercialization, licensing partner discovery, technology-to-company matching, or recipient prioritization.
openclaw skills install @yuanzhian-patsnap/match-technology-transfer-opportunities-ipSupport a technology owner or commercialization team through six linked stages:
The result is prioritization support. It is not a valuation opinion, legal opinion, freedom-to-operate opinion, investment recommendation, procurement decision, or authorization to contact any organization.
Use this skill when the user asks for:
Do not use it for a standalone patent search, invalidity search, pure market study, pure corporate due diligence, definitive IP valuation, or outreach execution.
Use when the user supplies a disclosure, patent list, research paper, presentation, test report, image, or structured technology description.
Treat supplied documents as the primary source. Retrieve external evidence only when authorized and useful.
Use when the user provides only an organization.
Do not assume that its five most-cited patents represent a transferable technology. Instead:
If the organization owns many unrelated technologies, deliver a portfolio triage first.
When both documents and an organization are supplied, use Mode A and record the organization as a claimed source pending verification.
Capture:
Never upload confidential material or search private systems without authorization.
Every material input or finding receives an evidence ID.
evidence_id: E-001
source_type: supplied_document|patent|company_filing|procurement|news|market|standard|other
title: ""
publisher_or_owner: ""
publication_or_event_date: YYYY-MM-DD
retrieved_at: YYYY-MM-DD
url_or_locator: ""
excerpt_or_field: ""
supports: []
quality: primary|authoritative_secondary|secondary|unverified
limitations: ""
Separate:
Search snippets, generated summaries, citation counts, family size and company press releases are not self-validating.
advanced_patent_searchhttps://open.patsnap.com/marketplace/mcp-servers/patent-searchUse the live documented schema for assignee, nested, semantic, fielded, citation, patent-number, related-record and count tasks. Record connector, exact tool, request, filters, date, response semantics and limitations.
patent_briefinghttps://open.patsnap.com/marketplace/mcp-servers/patent-briefingUse it for bibliography, family, status, claims, description, translations and images. Preserve the as-of date and source-language boundary.
deep_patent_mininghttps://open.patsnap.com/marketplace/mcp-servers/patent-miningUse evidence-backed technical topics, problems, effects, classifications, materials and applications to support—not replace—technical review.
patent_monetization_valuationhttps://open.patsnap.com/marketplace/mcp-servers/patent-monetizeTreat any result as one bounded input. Record method, assumptions, date, currency, data coverage and uncertainty. Never present a connector score as a transaction price.
No verified global PatSnap procurement connector is claimed. Procurement, company, finance, market, news, standards and legal evidence require separately authorized current sources.
Record:
Do not equate named applicant with current ownership.
Provide:
If the source is sparse, preserve unknowns rather than meeting a fixed word or item quota with invention.
Use TRL 1–9 only when appropriate to the discipline and supported by evidence. Record:
Do not convert “prototype,” “pilot,” or “field trial” mechanically into a TRL.
For each KPI capture:
| Field | Requirement |
|---|---|
| Name | Unambiguous metric |
| Value/range | Exact reported value |
| Unit | SI or stated domain unit |
| Method | Test protocol and conditions |
| Sample | Size, batch and comparator |
| Source | Evidence ID and locator |
| Uncertainty | Error, variability or limitation |
Do not create a four-card KPI dashboard when fewer than four verified metrics exist.
Compare the technology with relevant alternatives across equivalent conditions. Include at least:
Use not comparable where test conditions differ materially. “Domestic substitution” is not a global comparison dimension; use supply security, regional availability and localization needs as relevant.
List evidence-backed:
Retain the source’s eight-factor baseline only as a configurable rubric:
| Factor | Baseline weight |
|---|---|
| Breakthrough in technical principle | 15 |
| Novelty of core method | 10 |
| Difficulty of substitution | 10 |
| Height of technical barriers | 10 |
| Process/system compatibility | 15 |
| Commercialization readiness | 15 |
| Technical stability/reproducibility | 10 |
| Scalability potential | 15 |
Before scoring:
For each factor output:
Suggested descriptive bands may be used only after disclosure:
Do not call a technology “breakthrough” solely from the numerical band.
Record:
Assess with evidence:
Assess:
Never derive TAM from patent data alone.
Assess only with current records and qualified review where needed:
Do not state “stable claims,” “valid patent,” or “no infringement risk” from database status alone.
Assess:
Do not label a patent an SEP candidate merely because its topic relates to a standard.
Remove the source’s fixed RMB ranges and scarcity/family/SEP multipliers.
When valuation is authorized, state:
Otherwise output valuation_status: not_assessed and list required inputs.
Preserve:
Never force four IPC classes or a fixed patent count when evidence does not support them.
Candidate types may include:
Separate a company’s technical fit from willingness, authority, financial capacity and legal eligibility.
Generate candidates from disclosed, auditable evidence such as:
Do not infer purchase intent from one news article or one patent.
For every candidate confirm:
Retain the source baseline as configurable:
Procurement may be irrelevant in some sectors. In that case, redesign the rubric before scoring; do not silently redistribute missing points.
Use scripts/match_scorer.py for deterministic computation after evidence coding.
Candidate indicators include:
Fixed thresholds such as three IPCs, 0.75 semantic similarity, 20% growth, 50 citations or five countries are not universal. Define sector-, age-, database- and geography-adjusted anchors.
Candidate indicators include:
Record event date, publication date, source quality and contradictory signals.
Use only authorized, jurisdiction-appropriate sources. Candidate indicators include:
The bundled scripts/gov_bid_api.py is a localized normalization adapter, not a configured global procurement API client. It must not send network requests or contain credentials.
For every metric record:
Missing is not zero. The scorer returns:
Do not rank candidates below the approved evidence-coverage floor as if comparable.
Each recipient card includes:
Use text grades, not star icons. Treat score bands as prioritization labels, not objective probabilities.
Before final ranking:
Show unstable rankings as tiers or ranges.
Retain four 25-point baseline dimensions only after defining evidence anchors:
Risk score direction must be explicit: higher means greater risk.
If the user accepts the source baseline, use:
These are rubric bands, not probabilities. Show each dimension’s evidence, uncertainty, owner, mitigation and decision gate.
For the top three eligible recipients, provide unique profiles with:
Do not duplicate generic concerns across all cards.
Build a gated timeline rather than a guaranteed schedule:
Adapt timing to the sector.
Compare at least these routes when relevant:
For each route show control, exclusivity, funding, IP improvements, data/know-how, territory/field, milestones, termination, audit and support implications.
Use scripts/report_generator.py to create the static report only after hard validation passes.
The report must contain:
The renderer must:
Use scripts/report_generator_patch.py only to write to an exact user-approved path and optional user-approved backup path.
Do not:
Stop report generation if any hard check fails:
Deliver a non-executed portfolio/search plan and required query/entity fields. Do not score patent evidence.
Mark the dimension not_scored. Redesign/approve an alternative rubric if recipient ranking must continue.
Deliver a transfer-package gap analysis and evidence-acquisition plan before recipient ranking.
Pause commercialization conclusions and route title/authority review to qualified counsel or the technology-transfer office.
Return an unranked candidate longlist with evidence gaps. Do not manufacture three reasons or an action.
Set not_assessed. Provide a data request and scenario template.
Use tiers/ranges, show weight sensitivity and identify decisive missing evidence.
Do not claim delivery. Return the exact error, preserve validated input, and retry only within the approved path.