DISABLE_TELEMETRY=1 to opt out before using. analysis-dataUse this skill when the user wants to create visualizations (charts, dashboards, diagrams, Gantt, PPT), analyze data (Excel/CSV upload, cross-file analysis,...
Install via ClawdBot CLI:
clawdbot install chartgen-ai/analysis-dataGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
send → https://chartgen.ai/api/platform_api/`Calls external URL not in known-safe list
https://chartgen.aiAI Analysis
The skill explicitly sends user data (Excel/CSV/JSON files) to an external, third-party API (chartgen.ai) for processing. While this is consistent with the skill's stated purpose, it constitutes a significant data transfer to an undocumented and unvetted external service, creating a privacy risk. The skill's functionality is entirely dependent on this external endpoint.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
Retail managers can use this skill to analyze daily sales data from multiple stores, calculate total and average sales by region, and filter top-performing products. It helps identify trends and optimize inventory based on real-time insights, improving decision-making without coding.
Small business owners can upload financial spreadsheets to interpret revenue trends, detect anomalies in expenses, and generate structured reports. This enables quick financial health assessments and supports budgeting decisions through natural language queries.
Marketing agencies can visualize campaign data by creating bar charts for engagement metrics and line charts for conversion trends over time. This skill allows teams to present insights to clients interactively, enhancing reporting efficiency.
Manufacturing supervisors can analyze production data to filter equipment downtime incidents, calculate average output by shift, and interpret patterns for process improvements. It supports data-driven optimizations to reduce costs and increase productivity.
Researchers in academia can use this skill to analyze experimental datasets, interpret statistical trends, and generate visualizations like scatter plots for publications. It simplifies complex data handling, allowing focus on insights rather than technical implementation.
ChartGen offers 200 free credits monthly to attract users, with paid tiers for additional credits or advanced features. This model encourages adoption while generating revenue from heavy users and enterprises needing scalable data analysis.
The skill monetizes through API calls, charging per tool usage (20 credits each). Businesses integrate it into their workflows, paying based on consumption, which provides predictable revenue from data-intensive operations.
Targeting larger organizations, ChartGen can offer custom licenses with higher credit limits, dedicated support, and enhanced security. This model ensures steady income from long-term contracts and tailored solutions for vertical datasets.
💬 Integration Tip
Ensure the CHARTGEN_API_KEY environment variable is set before running scripts, and use clear natural language queries for best results.
Scored Jun 19, 2026
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