agent-authentication

Fail

Audited by Gen Agent Trust Hub on Feb 16, 2026

Risk Level: HIGHCREDENTIALS_UNSAFE
Full Analysis
  • [CREDENTIALS_UNSAFE] (HIGH): The skill is designed to handle sensitive credentials including cleartext passwords and authentication tokens within the conversation context.
  • Evidence: The toolkit includes functions like mcp__flow-nexus__user_register and mcp__flow-nexus__user_login which explicitly pass password and email as parameters.
  • Evidence: The mcp__flow-nexus__user_update_password tool handles token and new_password directly.
  • Risk: Sensitive data handled this way is susceptible to being captured in conversation logs, exposed in the model's context window, or exfiltrated if the agent is redirected by a prompt injection.
  • [DATA_EXFILTRATION] (MEDIUM): The skill manages Personally Identifiable Information (PII) such as full names and email addresses. Without strict output controls, this data can be retrieved or forwarded externally.
  • Evidence: mcp__flow-nexus__user_profile returns user information which the agent then processes.
  • [PROMPT_INJECTION] (LOW): While no active injection is present, the skill's role as an 'Authentication Agent' makes it a high-value target for identity-related social engineering or context-switching attacks.
Recommendations
  • AI detected serious security threats
Audit Metadata
Risk Level
HIGH
Analyzed
Feb 16, 2026, 03:03 AM