evolink-data-analysisAI-powered data analysis using EvoLink API. Decision-first methodology with statistical rigor. Powered by evolink.ai
Install via ClawdBot CLI:
clawdbot install evolinkai/evolink-data-analysisGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://api.evolink.ai/v1/messagesCalls external URL not in known-safe list
https://evolink.ai?utm_source=clawhub&utm_medium=skill&utm_campaign=data-analysiUses known external API (expected, informational)
discord.comAI Analysis
The skill explicitly sends entire data files to an external API (api.evolink.ai) for processing, which is a legitimate function but creates a significant privacy risk as users may not fully understand their data is being transmitted externally. While the skill discloses this in a truncated security warning, the data transmission is inherent to its operation and could expose sensitive information.
Generated May 7, 2026
A sales manager uploads a CSV of monthly transactions to identify top-performing products, regions, and sales reps. The analysis reveals trends and outliers, enabling data-driven decisions on bonus allocation and inventory planning.
A marketing analyst uploads JSON data from an A/B test comparing two email subject lines. The skill calculates confidence intervals and effect sizes to determine which variant significantly improves open rates, guiding future campaign strategies.
A product manager uploads an Excel file with user event logs to analyze drop-off points in the onboarding funnel. The skill identifies stages with highest churn and quantifies uncertainty, supporting targeted UX improvements.
An accountant uploads a CSV of quarterly expenses to detect anomalies and missing values. The analysis highlights data quality issues like duplicate entries and outliers, ensuring accurate financial reporting before audits.
A clinical researcher uploads a CSV of patient records (de-identified) to compare recovery rates between two treatment protocols. The skill checks sample size adequacy and provides confidence intervals to inform evidence-based practice.
Offer a pay-per-analysis tier where small businesses pay a flat fee per upload or per query. This lowers the barrier for occasional use while generating recurring revenue from SMEs.
License the skill to large corporations for internal use, with options for on-premise deployment or data anonymization before sending to the API. Revenue comes from annual licensing and premium support contracts.
Integrate the skill into existing BI platforms (e.g., Tableau, Power BI) as a natural-language query add-on. Revenue is shared via marketplace fees or per-call API charges rebranded for the partner.
💬 Integration Tip
Set EVOLINK_API_KEY and optionally EVOLINK_MODEL in your environment. Use scripts/analyze.sh with a file path and a clear, decision-focused question for best results.
Scored Jun 22, 2026
Audited Apr 17, 2026 · audit v1.0
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