skills/npow/claude-skills/deep-design/Gen Agent Trust Hub

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 concept argument provided by the user is passed to multiple agents across the workflow files.
  • Boundary markers: The skill employs clear markers such as --- SPEC START --- and CORE_MECHANISM_START to delimit content.
  • Capability inventory: The skill uses spawn_subagent to 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 sagaflow CLI 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
Risk Level
SAFE
Analyzed
Oct 3, 2026, 08:42 PM