knowledge-connectorTurn scattered notes and documents into an actionable knowledge graph. Use when the user wants an import wizard, cross-document answers, relationship maps, a...
Install via ClawdBot CLI:
clawdbot install harrylabsj/knowledge-connectorGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
exec(Calls external URL not in known-safe list
https://unpkg.com/vis-network/standalone/umd/vis-network.min.jsAI Analysis
The skill definition describes legitimate knowledge graph functionality with no evidence of data exfiltration, credential harvesting, or hidden malicious instructions. The external URL signal appears to be for a known visualization library (vis-network) used for graph rendering, which aligns with the skill's stated purpose. The shell command signal is likely for legitimate system operations.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 20, 2026
Researchers can use this skill to extract key concepts from academic papers and connect them into a knowledge graph, enabling relationship-aware queries to identify trends and gaps in literature. It supports visualizing connections for presentations or reports.
Marketing teams can analyze customer conversations and documents to build a knowledge graph of topics and relationships, helping generate content ideas and recommendations based on related concepts. This aids in creating targeted campaigns and improving SEO.
Law firms can extract entities and concepts from legal texts, connecting them to identify precedents, relationships between cases, and key themes. This facilitates quick queries for case preparation and exportable visualizations for client presentations.
Medical professionals can build a knowledge graph from patient notes and medical literature, linking symptoms, treatments, and conditions to support diagnosis recommendations and educational visualizations. It enhances decision-making and training materials.
Development teams can extract concepts from code documentation and discussions, creating a graph to query related technologies and dependencies. This helps in onboarding new developers and maintaining up-to-date knowledge bases.
Offer the skill as a cloud-based service with tiered pricing based on graph size and query limits, targeting enterprises for knowledge management. Revenue comes from monthly or annual subscriptions with premium support and advanced features.
Sell on-premise licenses to large organizations in sectors like healthcare or legal, providing customization and integration with existing systems. Revenue is generated through one-time license fees and ongoing maintenance contracts.
Provide a free basic version for individual users with limited features, monetizing through paid add-ons like advanced visualization, API access, or priority support. This model attracts a broad user base and upsells to power users.
💬 Integration Tip
Integrate with existing document management systems or APIs to automate extraction from sources like Google Drive or Slack, and ensure regular backups to maintain graph integrity as it scales.
Scored Apr 19, 2026
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