agentforce-2025
Pass
Audited by Gen Agent Trust Hub on Sep 20, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill acts as a developer reference for Salesforce Agentforce, providing documentation on agent design, topic configuration, and Apex integration snippets.
- [EXTERNAL_DOWNLOADS]: The skill includes Apex code templates for integrating with OpenAI and Anthropic APIs. These samples use Salesforce's
callout:mechanism, which leverages secure Named Credentials to handle authentication rather than hardcoding secrets, representing a standard and safe development practice. - [INDIRECT_PROMPT_INJECTION]: The skill includes patterns for agents that process user-supplied data (e.g., customer messages).
- Ingestion points: The
userMessagefield in theAgentOpenAIIntegrationandAgentClaudeIntegrationApex classes inSKILL.mdserves as the entry point for untrusted data. - Boundary markers: The provided instruction template in
references/agentforce-builder.mdincludes behavioral guidelines (personality, identity verification) but does not provide specific technical delimiters for input data. - Capability inventory: The agents utilize Apex actions for external API callouts, database queries (SOQL), and logging interactions (DML).
- Sanitization: Code snippets provided are minimal templates and do not demonstrate explicit sanitization or filtering of the
userMessagecontent. - Analysis: While this creates a potential attack surface, it is a direct consequence of the skill's primary purpose—building interactive AI agents. The inclusion of identity verification and audit trail instructions mitigates the risk.
Audit Metadata