project-brainstorming
Fail
Audited by Gen Agent Trust Hub on Sep 17, 2026
Risk Level: HIGHCOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTIONDYNAMIC_EXECUTION
Full Analysis
- [COMMAND_EXECUTION]: The module
modules/deferred-capture.mdcontains instructions for the agent to execute a Python script (scripts/deferred_capture.py) via the shell using string interpolation of untrusted content. Evidence shows the--contextargument is built by placing<user rationale>directly inside a double-quoted string. This creates a critical command injection risk where shell meta-characters (such as backticks, semicolons, or dollar signs) in the user-supplied rationale could lead to arbitrary command execution on the host environment. - [INDIRECT_PROMPT_INJECTION]: A vulnerability surface is present where user-controlled data is ingested and passed to sensitive system capabilities.
- Ingestion points: User-provided 'problem statement' and 'rejection rationale' collected in Phase 1 and Phase 5 of
SKILL.md. - Boundary markers: None identified; the instructions do not suggest delimiting or escaping the input before use.
- Capability inventory: Shell command execution via
python3inmodules/deferred-capture.mdand automated file writing across multiple phases. - Sanitization: Absent; the logic assumes the input is safe to interpolate directly into shell arguments.
- [DYNAMIC_EXECUTION]: The
modules/spec-review-loop.mdimplements an automated 'Spec Review Loop' that dispatches a subagent to identify issues and then directs the main agent to 'apply fixes to the spec document' autonomously for up to three iterations. This dynamic feedback loop allows LLM-generated content to modify local files without mandatory human-in-the-loop validation for each change.
Recommendations
- AI detected serious security threats
Audit Metadata