claude-code-guide

Least-privilege permissions

• Limit API keys to specific functions: When setting up Claude integrations, create separate API keys for different tasks (e.g., one key for customer support, another for data analysis). This prevents a compromised key from accessing everything.
• Restrict code execution scope: Configure AI agents to only access files and systems they actually need. If an agent only analyzes reports, it shouldn't have permission to modify customer databases.
• Review skill permissions regularly: Audit what each skill (mini-program) can do monthly. Remove access to systems the skill no longer needs, similar to removing an employee's old access badges.
• Use read-only access when possible: Grant "view-only" permissions instead of "edit" permissions wherever feasible to reduce damage from accidental changes or misuse.

Network isolation

• Separate production from testing: Keep your live customer systems on a different network from where you experiment with Claude guides and example code. This prevents test mistakes from affecting real operations.
• Firewall API connections: Configure your network firewall to only allow Claude API calls from approved internal systems or IP addresses, blocking unauthorized connection attempts.
• Encrypt data in transit: Ensure any data sent to or from Claude uses encrypted connections (HTTPS/TLS), like sending mail in locked envelopes rather than postcards.
• Never paste sensitive data into examples: Don't use real customer information, passwords, or financial data when testing with the guide's code examples—create sanitized test data instead.

Monitoring

• Log all skill activities: Keep records of what each agent skill does, what data it accessed, and when. Review these logs weekly for unusual patterns (like an agent suddenly accessing files it never touched before).
• Set up usage alerts: Configure notifications if API costs spike unexpectedly or if code execution takes longer than normal—these can signal compromised credentials or malicious activity.
• Track code changes: When updating agent workflows or skills, document who changed what and when. This creates accountability and helps spot unauthorized modifications.
• Test your monitoring: Periodically verify that your logging actually captures important events; a monitoring system that doesn't work is worthless.

Red flags to watch for

• Code examples with hardcoded credentials: Reject any sample code showing passwords, API keys, or tokens directly written in files or examples. Legitimate guides use secure credential management instead.
• Outdated documentation version mismatches: If the guide was written for an older Claude version but you're using a newer one, verify current behavior through official Claude documentation before deploying code to production.
• Unusual API behavior or unexpected outputs: If Claude returns answers that seem fabricated, includes instructions for harmful activities, or behaves differently than documented, stop using that workflow and investigate.
• Community edits without security review: Since this is community-maintained, check when content was last updated and by whom. Avoid deploying any workflow or code example that hasn't been reviewed by your internal security team first.