external-llm-consulting
Fail
Audited by Gen Agent Trust Hub on Oct 9, 2026
Risk Level: HIGHEXTERNAL_DOWNLOADSREMOTE_CODE_EXECUTIONCOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTION
Full Analysis
- [REMOTE_CODE_EXECUTION]: The skill instructs the user to install and execute untrusted NPM packages. Specifically, it recommends
npm install -g @anthropic-ai/gemini-cli. This is highly suspicious as Anthropic is a competitor to Google and would not host a CLI for Google's Gemini models. This suggests a potential supply chain attack using a deceptive package name to gain execution on the user's machine. - [EXTERNAL_DOWNLOADS]: The instructions direct users to download and install global packages (
@openai/codex,@anthropic-ai/gemini-cli) that do not appear to be official tools from the respective vendors. The mismatch between the package name@anthropic-ai/gemini-cliand the provided documentation linkhttps://github.com/google-gemini/gemini-cliis a critical security red flag. - [COMMAND_EXECUTION]: The skill uses shell interpolation to execute these external CLIs (e.g.,
codex exec ... "<prompt>"). If the prompt contains shell metacharacters like backticks or semicolons, it could lead to arbitrary command execution on the host system beyond the intended LLM query. - [INDIRECT_PROMPT_INJECTION]: The skill provides a framework for ingesting and processing data from external, untrusted sources (the outputs of external LLMs). This creates a surface for indirect prompt injection where the external model's output could contain instructions that trick the primary agent into performing unauthorized actions when it 'parses and structures' the response.
Recommendations
- AI detected serious security threats
Audit Metadata