deep-design
Pass
Audited by Gen Agent Trust Hub on Oct 3, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONCOMMAND_EXECUTIONDATA_EXFILTRATION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill processes user-supplied design concepts by passing them through a series of specialized sub-agents (e.g., draft, critic, judge, and redesign agents). Malicious input could attempt to influence the behavior of these agents.
- Ingestion points: The
conceptargument provided by the user is passed to multiple agents across the workflow files. - Boundary markers: The skill employs clear markers such as
--- SPEC START ---andCORE_MECHANISM_STARTto delimit content. - Capability inventory: The skill uses
spawn_subagentto execute parallel tasks and can deliver files to external Slack endpoints. - Sanitization: Input is passed via file paths to sub-agents without explicit sanitization or filtering logic.
- [COMMAND_EXECUTION]: The execution model depends on the
sagaflowCLI to launch the durable workflow and manage background tasks. - [DATA_EXFILTRATION]: The skill delivers completed design specifications and progress reports to an external Slack workspace. This is a standard feature for the author's ecosystem, utilizing Slack as a well-known service for artifact delivery.
Audit Metadata