continuous-ai-patterns
Pass
Audited by Gen Agent Trust Hub on Mar 1, 2026
Risk Level: SAFECOMMAND_EXECUTIONPROMPT_INJECTION
Full Analysis
- [COMMAND_EXECUTION]: Examples 3, 6, 7, and 8 utilize a 'bash' tool to automate system tasks including running test suites, executing linters, and checking for package updates. While standard in CI/CD environments, this represents a capability for executing shell commands within the agent's operating context.\n- [PROMPT_INJECTION]: The skill architecture inherently possesses a vulnerability surface for indirect prompt injection due to its core function of processing external data.\n
- Ingestion points: The workflow patterns are triggered by and process content from untrusted sources, including GitHub issues (Examples 2 and 5), pull requests (Example 4), and test failure logs/workflow outputs (Example 6).\n
- Boundary markers: The instructions do not define specific delimiters or instructions to ignore potential commands embedded within the untrusted external data, although Example 2 suggests a disclaimer for automated triage.\n
- Capability inventory: The agent possesses high-impact tools including the 'github' tool (write access for issues, PRs, and comments), 'edit' (file system write access), and 'bash' (command execution).\n
- Sanitization: The patterns do not prescribe specific validation, escaping, or sanitization steps for the external content before it is processed by the AI or used to drive subsequent tool actions.
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