agent-cli-toolkit
Fail
Audited by Gen Agent Trust Hub on Mar 22, 2026
Risk Level: HIGHREMOTE_CODE_EXECUTIONCOMMAND_EXECUTIONEXTERNAL_DOWNLOADSPROMPT_INJECTION
Full Analysis
- [REMOTE_CODE_EXECUTION]: The skill documentation includes an installation instruction for the "Vite+" (vp) tool:
curl -fsSL https://vite.plus | bash. This pattern of piping a remote script directly into a shell interpreter is a high-risk practice because it executes unverified code from an external server with the user's local privileges. - [EXTERNAL_DOWNLOADS]: The skill relies on
x-cmdfor environment management (x env use ...) and recommends installing thegh-llmextension viagh extension install ShigureLab/gh-llm. These operations download and execute code from third-party repositories and registries that are not among the trusted sources. - [COMMAND_EXECUTION]: The skill facilitates the execution of various CLI tools that can run arbitrary code or modify the file system, such as
bun(JavaScript/TypeScript execution),uv(Python environment management), andvp run <script>(executing scripts defined in a project's package.json). - [PROMPT_INJECTION]: The skill possesses a surface for indirect prompt injection as it is designed to ingest and process data from external, untrusted sources.
- Ingestion points: The skill reads GitHub PRs, issues, and action logs via
ghandgh-llm, and fetches arbitrary HTTP API responses viahttpie(SKILL.md). - Boundary markers: There are no instructions or patterns provided to delimit untrusted content or warn the agent to ignore instructions embedded within the processed data.
- Capability inventory: The skill has access to tools that can install software (
x,gh extension), execute scripts (bun,uv,vp), and perform bulk text replacement in local files (sd) (SKILL.md). - Sanitization: No sanitization, validation, or escaping of external content is specified before the data is processed or used in downstream tasks.
Recommendations
- HIGH: Downloads and executes remote code from: https://vite.plus - DO NOT USE without thorough review
- AI detected serious security threats
Audit Metadata