llmintegration
Pass
Audited by Gen Agent Trust Hub on Aug 13, 2026
Risk Level: SAFEPROMPT_INJECTION
Full Analysis
- [PROMPT_INJECTION]: The skill contains multiple examples of prompt templates that interpolate untrusted external data (such as
{user_input},{code},{problem}, and{auth_code}) directly into instructions for the LLM. This pattern is vulnerable to indirect prompt injection, where malicious instructions hidden in the data could override the agent's primary goals. - Ingestion points: Variable placeholders throughout
SKILL.mdused for processing user-supplied code, problems, and stories. - Boundary markers: The skill documentation suggests using XML tags (e.g.,
<user_story>,<codebase>) to provide structure, which helps the LLM distinguish data from instructions but does not guarantee prevention of injection attacks. - Capability inventory: The skill is designed for an environment where the agent has access to sensitive tools such as
Bash,Write, andEdit, increasing the potential risk of a successful injection. - Sanitization: There is no evidence of input validation, escaping, or sanitization logic within the provided code snippets to mitigate the risk of embedded commands in the interpolated variables.
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