master-defect-fix-orchestrator
Pass
Audited by Gen Agent Trust Hub on Oct 5, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill processes untrusted data from JIRA defect tickets to drive its logic, which poses a risk of indirect prompt injection where malicious instructions in a ticket could manipulate agent behavior.
- Ingestion points: Phase 1 and Phase 2 load external data from
.SS_WF/{{$var[ticket_id]s}}_JIRA_OUTPUT_.json. - Boundary markers: The instructions do not define clear delimiters or specific instructions for the agent to ignore or isolate potential commands embedded within the ticket content.
- Capability inventory: The skill has significant capabilities including modifying source code (Phase 4), updating local documentation files (
CODE_GENERATION_SUMMARY.mdandCODING_AGENT_LEARNINGS.md), and executing shell-based tests via therun-test-casestask. - Sanitization: There is no description of content sanitization, validation, or escaping of the ticket data before it is used for decomposition, root cause analysis, or code generation.
- [EXTERNAL_DOWNLOADS]: The skill fetches design and content configuration from well-known services like Figma and Sitecore via the
context-gatheringtask to inform the defect fix. - Evidence: Phase 2 utilizes
context-gatheringto refetch artifacts from Figma or Sitecore based on the issue category (e.g., UI, Sitecore) and evidence of source changes in the ticket.
Audit Metadata