best-practices
Pass
Audited by Gen Agent Trust Hub on Apr 3, 2026
Risk Level: SAFE
Full Analysis
- [PROMPT_INJECTION]: The skill processes user-supplied prompts through several sub-agents (
task-intent-analyzer,codebase-context-builder) to perform its transformation tasks. This creates a surface for indirect prompt injection where a malicious user prompt could attempt to influence the sub-agents' behavior. However, this is an inherent characteristic of prompt optimization tools. - Ingestion Points: User prompts are ingested in
SKILL.mdand passed to sub-agents defined in theagents/directory. - Boundary Markers: The skill does not currently use explicit delimiters (like XML tags) to isolate untrusted user input within the sub-agent instructions.
- Capability Inventory: The sub-agents have capabilities to read codebase files, search for patterns, and analyze project configurations to provide grounded advice.
- Sanitization: No explicit sanitization of the user prompt is performed before it is analyzed by the sub-agents.
- [COMMAND_EXECUTION]: The skill documentation and sub-agent instructions (e.g., in
agents/codebase-context-builder.md) recommend the use of standard development tools such asgrep,glob,gh, andnpmto gather context. These are used within the expected scope of a coding assistant to explore the local project environment. - [EXTERNAL_DOWNLOADS]: The documentation references official Anthropic resources and well-known developer tools (GitHub CLI, AWS CLI). All external links point to trusted domains (anthropic.com, github.com).
Audit Metadata