raisindb-workflows
Pass
Audited by Gen Agent Trust Hub on Sep 8, 2026
Risk Level: SAFECOMMAND_EXECUTIONEXTERNAL_DOWNLOADSINDIRECT_PROMPT_INJECTION
Full Analysis
- [COMMAND_EXECUTION]: The skill provides instructions for using the
raisindbCLI to validate and deploy workflows. Commands likeflow doctor,package validate, anddeployare standard administrative tools for the RaisinDB platform. - [EXTERNAL_DOWNLOADS]: The use of
npx raisindbinitiates a download and execution of the RaisinDB CLI package from the public npm registry, which is the expected method for installing the vendor's development tools. - [INDIRECT_PROMPT_INJECTION]: The
ai_agentstep type allows flow data and step outputs to be processed by an LLM, creating a surface for indirect prompt injection. - Ingestion points: Untrusted data enters the flow via
input.*andtrigger.*namespaces and is passed to agents through properties likepromptandinclude_context. - Boundary markers: The workflow uses
${expr}and{{ expr }}for data interpolation, but the skill does not explicitly describe the use of safety delimiters or system instructions to mitigate prompt injection. - Capability inventory: The workflow engine is capable of executing server-side functions, creating human tasks in an inbox, and managing database state.
- Sanitization: The documentation does not specify sanitization or validation routines for data being interpolated into agent prompts.
Audit Metadata