powerdrill-skillsThis skill should be used when the user wants to analyze, explore, visualize, or query data using Powerdrill. Covers listing, creating, and deleting datasets; uploading local files as data sources; creating analysis sessions; running natural-language data analysis queries; and retrieving charts, tables, and insights. Triggers on requests like "analyze my data", "query my dataset", "upload this file for analysis", "list my datasets", "create a dataset", "visualize sales trends", "continue my previous analysis", "delete this dataset", or any data exploration task mentioning Powerdrill.
Install via ClawdBot CLI:
clawdbot install javainthinking/powerdrill-skillsGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
report → https://example.com/report.pdfCalls external URL not in known-safe list
https://ai.data.cloud/api`AI Analysis
The skill interacts with a documented external API (`https://ai.data.cloud/api`) for its stated purpose of data analysis, which is consistent and expected. The 'UNKNOWN_DATA_SINK' signal appears to be a false positive, as the example URL (`https://example.com/report.pdf`) is likely placeholder documentation for a report generation feature, not evidence of active exfiltration. No credential harvesting, hidden instructions, or obfuscation were found.
Audited Apr 17, 2026 · audit v1.0
Generated Mar 9, 2026
A retail manager uploads monthly sales CSV files to analyze trends, top-selling products, and regional performance. They create a session to ask natural-language queries like 'Show me revenue by product category for Q3' and generate visual charts for stakeholder reports. This enables quick insights without manual spreadsheet analysis.
A marketing team uploads campaign data from Google Ads and social media platforms as JSON files to evaluate ROI and engagement metrics. They use the skill to query 'Which campaign had the highest conversion rate?' and visualize results in tables, helping optimize future ad spend and strategy.
A financial analyst uploads quarterly PDF reports and Excel spreadsheets to extract key figures and trends. They create a dataset, sync the files, and run queries like 'Summarize profit margins over the last year' to generate insights and charts for executive presentations, saving hours of manual data extraction.
A healthcare administrator uploads anonymized patient data in CSV format to analyze treatment outcomes and resource allocation. They use the skill to ask 'What are the most common diagnoses by age group?' and retrieve visualizations to support operational decisions and improve patient care efficiency.
An e-commerce business owner uploads transaction logs and customer feedback in text files to understand purchasing patterns. They run queries like 'Identify peak sales hours and top customer segments' to visualize trends and tailor marketing campaigns, enhancing customer retention and sales.
Offer this skill as part of a subscription-based analytics platform where users pay monthly for data analysis capabilities. Revenue is generated through tiered pricing based on dataset size, query volume, and advanced features like real-time streaming, targeting small to medium businesses.
Provide customized data analysis services using this skill for clients in specific industries like retail or finance. Revenue comes from project-based fees for setting up datasets, running complex queries, and delivering insights, with potential for ongoing support contracts.
Deploy this skill as a free tool with basic features like limited dataset uploads and queries, then monetize through premium upgrades for advanced analytics, higher data limits, and priority support. Revenue is driven by upselling to power users and enterprises seeking deeper insights.
💬 Integration Tip
Ensure environment variables for API credentials are securely set before use, and consider automating dataset syncing with wait_for_dataset_sync to handle large file uploads efficiently.
Scored Apr 19, 2026
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