Add comprehensive user persona security & usability testing report

[groupthinking]

Summary

This PR adds a detailed multi-persona testing report (USER_PERSONAS_TESTING_REPORT.md) that evaluates EventRelay's architecture, security posture, and usability through the lens of six distinct user personas. The report is informed by analysis of the Clawdbot/Moltbot video, which highlights critical risks in AI agent systems including prompt injection, credential exposure, and trust boundary violations.

Key Changes

• New Document: docs/USER_PERSONAS_TESTING_REPORT.md (478 lines)
  • Executive summary mapping Moltbot vulnerabilities to EventRelay risks
  • Six detailed persona profiles: Human Operator, Automated Bot, AI Agent, Security Researcher, Content Creator, Enterprise Admin
  • Per-persona test results with severity-rated findings and actionable recommendations
  • Cross-persona risk matrix showing impact distribution
  • Priority action items organized by urgency (P0-P3)
  • Critical security findings with attack scenarios and remediation steps

Notable Findings

Critical Issues Identified:

1. No API authentication — all /api/v1/ endpoints publicly accessible
2. Rate limiting disabled — commented out middleware allows resource exhaustion
3. Prompt injection vulnerability — transcripts injected directly into agent prompts without sanitization
4. CORS misconfiguration — wildcard origins with credentials enabled
5. No multi-tenancy enforcement — tenant models exist but not integrated into middleware
6. No agent sandboxing — all agents have equal access to all data and API keys
7. Unauthenticated agent-to-agent messaging — global message bus with no authorization

Immediate Actions Required (P0):

• Enable API key authentication middleware
• Uncomment and enforce rate limiting
• Enable security headers middleware
• Fix CORS configuration in code_generator.py and real_api_endpoints.py

Report Structure

The report provides:

• Persona-specific findings with pass/fail status for each user type
• Attack surface analysis for security researchers with exploitability ratings
• Moltbot lesson application connecting video content to EventRelay architecture
• Priority action matrix with effort/impact estimates for 20 remediation items
• File-level review checklist for immediate code inspection
• Gap analysis comparing marketing personas to operational personas

This report serves as both a security audit and a product requirements document, ensuring that fixes address real user needs across all personas, not just end-users.

https://claude.ai/code/session_01M63176gXwtV8qTETWKyuV6

[vercel]

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Project	Deployment	Review	Updated (UTC)
event-relay-web	Error		Jan 28, 2026 7:14pm
v0-uvai	Error		Jan 28, 2026 7:14pm

[gemini-code-assist]

Summary of Changes

Hello @groupthinking, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces a critical report that thoroughly assesses the EventRelay platform from multiple user perspectives, including security and operational roles. It uncovers significant vulnerabilities and architectural weaknesses, particularly in areas concerning AI agent interaction and API security, drawing lessons from real-world AI system failures. The report not only identifies issues but also provides a structured, prioritized roadmap for addressing these findings, aiming to enhance both the security posture and usability of the platform.

Highlights

• New Comprehensive Report: A detailed multi-persona security and usability testing report (docs/USER_PERSONAS_TESTING_REPORT.md) has been added, evaluating EventRelay's architecture through six distinct user personas: Human Operator, Automated Bot, AI Agent, Security Researcher, Content Creator, and Enterprise Admin.
• Critical Security Gaps Identified: The report highlights critical gaps in authentication, agent sandboxing, and prompt injection defenses. Key findings include no API authentication, disabled rate limiting, prompt injection vulnerability via transcripts, CORS misconfiguration, lack of multi-tenancy enforcement, and unauthenticated agent-to-agent messaging.
• Moltbot Vulnerability Parallels: The analysis draws direct parallels between EventRelay's risks and vulnerabilities observed in the Clawdbot/Moltbot AI agent system, particularly concerning prompt injection, credential exposure, and trust boundary violations.
• Prioritized Action Items: A comprehensive list of priority action items (P0-P3) is provided, ranging from immediate fixes like enabling API authentication and rate limiting, to short-term security hardening, medium-term feature completeness, and long-term product growth initiatives.

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[gemini-code-assist]

Code Review

This pull request introduces a highly detailed and well-structured user persona security and usability testing report. The report effectively leverages distinct personas to uncover critical architectural, security, and usability gaps within the EventRelay platform. The identified vulnerabilities, particularly around authentication, agent sandboxing, and prompt injection, are clearly articulated with appropriate severity ratings and actionable recommendations. This document serves as an excellent foundation for prioritizing and addressing key areas for improvement.

[gemini-code-assist]

The 'Key Finding' is excellent, but to further emphasize urgency, consider briefly listing the top 1-2 P0 action items from the 'Priority Action Items' section directly within the Executive Summary. This would immediately highlight the most critical and immediate fixes required.

[gemini-code-assist]

For consistency and improved clarity, consider adding specific line numbers or function references for all code locations mentioned in the 'Location' field. For example, src/youtube_extension/backend/code_generator.py could be more precise, similar to how main.py:157-163 is referenced.

[Copilot]

Pull request overview

This PR adds a comprehensive 478-line security and usability testing report (USER_PERSONAS_TESTING_REPORT.md) that evaluates EventRelay's architecture through six distinct user personas: Human Operator, Automated Bot, AI Agent, Security Researcher, Content Creator, and Enterprise Admin. The analysis is informed by the Clawdbot/Moltbot video, which demonstrates real-world AI agent vulnerabilities including prompt injection and credential exposure.

Changes:

• Adds detailed multi-persona security analysis with severity-rated findings
• Identifies critical security gaps with precise file and line number references
• Provides actionable remediation steps organized by priority (P0-P3)
• Maps Moltbot security lessons to EventRelay's architecture