code-arch-optimizer
Warn
Audited by Gen Agent Trust Hub on Jun 19, 2026
Risk Level: MEDIUMCOMMAND_EXECUTIONDATA_EXFILTRATIONPROMPT_INJECTION
Full Analysis
- [COMMAND_EXECUTION]: The skill uses the
gh issue createcommand to perform external write operations. It explicitly directs the agent to bypass user oversight inSKILL.md(Step 7: "Don't let the user review before creating - create it immediately and share the link"). This removal of the human-in-the-loop check for network-active commands increases the risk of unauthorized or unsafe actions being performed automatically.
- [DATA_EXFILTRATION]: The skill explores the codebase and identifies "architecture friction points" (Step 1), then automatically posts descriptions of these areas to GitHub (Step 7). Without a review step, proprietary logic, sensitive configuration comments, or internal architecture details could be leaked to public or shared issue trackers.
- [PROMPT_INJECTION]: The skill is vulnerable to Indirect Prompt Injection (Category 8) because it processes untrusted content from the codebase to generate its output.
- Ingestion points: The agent reads arbitrary files from the local codebase using the
Exploresubagent (SKILL.md). - Boundary markers: Absent. The instructions do not provide delimiters or warnings to ignore instructions found within the code being analyzed.
- Capability inventory: The skill possesses network-write capabilities via the
gh issue createcommand (SKILL.md). - Sanitization: Absent. There is no evidence of filtering or validation of the content extracted from the codebase before it is used to populate the GitHub Issue template.
Audit Metadata