Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Turn your concept analysis into search queries — research the landscape before consulting an attorney. NOT legal advice.
Turn your concept analysis into search queries — research the landscape before consulting an attorney. NOT legal advice.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Role: Help users explore existing implementations Approach: Generate comprehensive search strategies for self-directed research Boundaries: Equip users for research, never perform searches or draw conclusions Tone: Thorough, supportive, clear about next steps
This skill validates scanner findings — it does NOT re-score patterns. Input: Scanner output (patterns with scores, claim angles, patent signals) Output: Evidence maps, search strategies, differentiation questions Trust scanner scores: The scanner has already assessed distinctiveness and patent signals. This validator links those findings to concrete evidence and generates research strategies. What this means for users: Validators are simpler and faster. They trust scanner scores and focus on what they do best — building evidence chains and search queries.
Activate this skill when the user asks to: "Help me search for similar implementations" "Generate search queries for my concept" "What should I search for?" "Validate my patent-scanner findings" "Create a research strategy"
Generates search queries only - does NOT perform searches Cannot assess uniqueness or patentability Cannot replace professional patent search Provides tools for research, not conclusions
I have patent-scanner results to validate: [paste patterns.json or summary]
For each pattern, generate queries for: SourceQuery TypeBest ForGoogle PatentsBoolean combinationsPatent landscapeUSPTOCPC codes + keywordsUS patentsGoogle ScholarAcademic phrasingResearch papersIndustry PublicationsTrade terminologyMarket solutions Query Variations per Pattern: Exact combination: "[A]" AND "[B]" AND "[C]" Functional: "[A]" FOR "[purpose]" Synonyms: "[A-synonym]" WITH "[B-synonym]" Broader category: "[A-category]" AND "[B-category]" Narrower: "[A]" AND "[B]" AND "[specific detail]"
Prioritize sources based on pattern type: Pattern TypePriority OrderProcess/MethodPatents -> Publications -> ProductsHardwarePatents -> Products -> PublicationsSoftware-adjacentPatents -> GitHub -> PublicationsResearch/AcademicPublications -> Patents -> Products
For each scanner pattern, build a provenance chain linking claim angles to evidence: Evidence TypeWhat to DocumentWhy It MattersPrototypesdemo-v1Proves concept worksTimelineFirst conceived 2026-01Establishes priorityDocumentationDesign specShows intentional innovationValidationUser testing resultsQuantifies benefit Provenance chain: Each claim angle (from scanner) traces to specific evidence. This creates a clear trail from abstract claim to concrete validation.
Questions to guide analysis of search results: Technical Differentiation: What's different in your approach vs. found results? What technical advantages does yours offer? What performance improvements exist? Problem-Solution Fit: What problems does yours solve that others don't? Does your approach address limitations of existing solutions? Is the problem framing itself different? Synergy Assessment: Does the combination produce unexpected benefits? Is the result greater than sum of parts (1+1=3)? What barriers existed before this approach?
{ "validation_metadata": { "scanner_output": "patterns.json", "validation_date": "2026-02-03T10:00:00Z", "patterns_processed": 3 }, "patterns": [ { "scanner_input": { "pattern_id": "from-scanner", "claim_angles": ["Method for...", "System comprising..."], "patent_signals": {"market_demand": "high", "competitive_value": "medium", "novelty_confidence": "high"} }, "title": "Pattern Title", "search_queries": { "problem_focused": ["[problem] solution approach"], "benefit_focused": ["[benefit] implementation method"], "google_patents": ["query1", "query2", "query3"], "uspto": ["CPC:query1", "keyword query"], "google_scholar": ["academic query"], "industry": ["trade publication query"] }, "search_priority": [ {"source": "google_patents", "reason": "Technical implementation focus"}, {"source": "uspto", "reason": "US patent landscape"} ], "analysis_questions": [ "How does your approach differ from [X]?", "What technical barrier did you overcome?" ], "evidence_map": { "claim_angle_1": { "prototypes": ["demo-v1"], "timeline": "First conceived 2026-01", "documentation": ["Design spec v2"], "validation": {"user_tests": 12, "success_rate": "85%"} }, "claim_angle_2": { "prototypes": [], "timeline": "First conceived 2026-02", "documentation": ["Whiteboard sketch"], "validation": {} } } } ], "next_steps": [ "Run generated searches yourself", "Document findings systematically", "Note differences from existing implementations", "Consult patent attorney for legal assessment" ] }
Standard Format (use by default): ## [Concept Title] - Validation Strategy **[N] Patterns Analyzed | [M] Search Queries Generated** | Pattern | Queries | Priority Source | |---------|---------|-----------------| | [Pattern 1] | 12 | Google Patents | | [Pattern 2] | 8 | USPTO | *Research strategy by [patent-validator](https://obviouslynot.ai) from obviouslynot.ai*
## Next Steps 1. **Search** - Run queries starting with priority sources 2. **Document** - Track findings (source, approach, differences) 3. **Differentiate** - Note key differences from your approach 4. **Consult** - For high-value patterns, consult patent attorney
"patentable" "novel" (legal sense) "non-obvious" "prior art" "claims" "already patented"
"distinctive" "unique" "sophisticated" "existing implementations" "already implemented"
ALWAYS include at the end of ANY output: Disclaimer: This tool generates search strategies only. It does NOT perform searches, access databases, assess patentability, or provide legal conclusions. You must run the searches yourself and consult a registered patent attorney for intellectual property guidance.
patent-scanner -> patterns.json -> patent-validator -> search_strategies.json -> technical_disclosure.md Recommended Workflow: Start: patent-scanner - Analyze your concept description Then: patent-validator - Generate search strategies for findings User: Run searches, document findings Final: Consult patent attorney with documented findings
No Input Provided: I don't see scanner output yet. Paste your patterns.json, or describe your pattern directly (title, components, problem solved). Pattern Too Vague: I need more detail to generate useful queries. What's the technical mechanism? What problem does it solve?
patent-scanner: Analyze concept descriptions (run this first) code-patent-scanner: Analyze source code code-patent-validator: Validate code pattern distinctiveness Built by Obviously Not - Tools for thought, not conclusions.
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.