AI-Research-SKILLs

Security Hardening Guide: AI-Research-SKILLs

Least-privilege permissions

• Grant only required integrations: Before activating any skill, review its documentation and disable any API connections (search engines, databases, cloud services) you don't actually need. For example, if you only use academic paper research, disable web scraping or social media access.
• Rotate credentials regularly: If the agent uses API keys or passwords to connect to external services, change them every 90 days and immediately after any personnel changes.
• Audit skill-to-tool mapping: Create a document listing each skill and exactly which external services it can access—treat this as your "access control list" and review it quarterly.
• Use read-only accounts where possible: When connecting to databases or cloud services, create service accounts with read-only permissions so even a compromised skill cannot modify or delete data.

Network isolation

• Restrict outbound connections: Configure your firewall or agent runtime to allow the agent to contact only approved external services (e.g., specific academic APIs). Block all other internet traffic by default.
• Use proxy or VPN for external calls: Route all skill requests through a corporate proxy or VPN to inspect and log what data leaves your environment, and to prevent direct leaks to unknown services.
• Separate sensitive workspaces: Run the agent in an isolated network segment if handling confidential research, healthcare, or financial data—do not place it on the same network as critical production systems.
• Disable skill internet access if unused: If research doesn't require live web data, explicitly turn off internet connectivity for the agent entirely.

Monitoring

• Log all external API calls: Track what data the agent sends to third-party services (search engines, databases, etc.). Flag any queries containing sensitive keywords (customer names, financial figures, medical terms).
• Set up alerts for unusual activity: Configure automated alerts if the agent suddenly contacts new external services, requests unusually large volumes of data, or accesses skills it rarely used before.
• Review skill update logs: Since Orchestra Research maintains this library, monitor when skills are updated and review the change notes—delayed or suspicious updates are a red flag.
• Audit data returned from research: Spot-check the external research results the agent retrieves to ensure they haven't been tampered with or don't contain suspicious code or misleading instructions.

Red flags to watch for

• Skills request "admin" or "unrestricted" permissions: If any skill asks for blanket access to all your systems or data without explaining why, reject it and contact Orchestra Research support.
• Unexpected behavior after skill activation: If the agent begins querying unrelated external services, making unusual API calls, or requesting data outside its defined purpose, immediately disable the skill and investigate.
• Long periods without skill maintenance: If Orchestra Research stops updating a skill for 6+ months and known security issues emerge elsewhere in the AI research community, treat it as deprecated and plan a replacement.
• Skills trained on unvetted external data: Before using a skill in regulated industries (healthcare, finance, law), verify that its underlying code and training data have been reviewed by your compliance team, not just