domain-model
Pass
Audited by Gen Agent Trust Hub on Nov 7, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONDATA_EXFILTRATIONCOMMAND_EXECUTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill ingests untrusted data from business process descriptions provided via user arguments or local file paths. This data is used to drive the modeling process and interview, making the agent susceptible to instructions embedded within those descriptions. * Ingestion points: User input in
$ARGUMENTSand file content read from user-provided paths inSKILL.md(Step 1). * Boundary markers: There are no boundary markers or instructions to ignore embedded prompts in the ingested content. * Capability inventory: The skill possesses file read/write capabilities and can execute local shell commands likegit. * Sanitization: No sanitization or content validation is performed on the ingested descriptions. - [DATA_EXFILTRATION]: The skill allows the agent to read from arbitrary file paths provided in the user arguments. While intended for process documentation, this functionality could be used to access sensitive local files if a sensitive path (e.g.,
.envor SSH keys) is supplied. - [COMMAND_EXECUTION]: The skill utilizes the
git rev-parse --show-toplevelcommand to identify the repository root for defining the output location of the generated domain models.
Audit Metadata