lieflat-charts

Security Hardening Guide: lieflat-charts

Least-privilege permissions

• Restrict data access: Only allow the AI agent to read the specific datasets needed for chart generation; block access to sensitive databases, customer records, or internal files beyond what's required.
• Limit output destinations: Configure where charts can be saved or sent (example: internal servers only, not public cloud storage); require approval before exporting to external services.
• API key isolation: If the skill connects to external services, use separate, limited API keys that can only perform chart-related actions—never share full admin credentials.
• User role separation: Let only authorized team members configure chart settings and data sources; prevent general users from modifying security settings.

Network isolation

• Block external connections: Disable or strictly control any ability for the skill to send charts to unknown websites or cloud services without explicit approval.
• Firewall rules: Ensure charts are generated and stored only within your company's network, not transmitted through public internet by default.
• Audit egress traffic: Monitor outgoing connections from the system running lieflat-charts to catch unauthorized data transfers in real time.

Monitoring

• Log all chart creation: Record who created charts, what data was used, when it was created, and where it was sent—treat this like a security audit trail.
• Alert on anomalies: Set up automatic warnings if unusual amounts of data are being visualized, charts are exported to new destinations, or the tool runs at odd hours.
• Review dependencies regularly: Since this project has limited adoption and may receive infrequent updates, check monthly for security patches and known vulnerabilities in libraries it depends on.

Red flags to watch for

• Unusual chart requests: Be suspicious if someone asks to visualize data they don't normally work with, especially sensitive information (payroll, customer IDs, health records).
• Complex user inputs in labels: Watch for attempts to inject code or special characters into chart titles, legends, or labels—these could be hidden attacks trying to steal data when charts are viewed.
• Charts containing unverified data: If data feeding into charts comes from external sources or unvetted uploads, verify it's legitimate before visualization.
• New or unfamiliar dependencies: If the skill's maintenance team adds new external libraries, research them first—one compromised dependency could expose all chart data.