jev-social
Fail
Audited by Gen Agent Trust Hub on Oct 11, 2026
Risk Level: HIGHREMOTE_CODE_EXECUTIONEXTERNAL_DOWNLOADSCOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTION
Full Analysis
- [REMOTE_CODE_EXECUTION]: The skill frequently executes remote code by using
npxto fetch and run logic directly from a GitHub repository (socai-io/jev-social). This occurs during readiness checks, research searches, and when starting a local preview server. - [EXTERNAL_DOWNLOADS]: The skill fetches code from an external GitHub repository. Although it specifies a pinned commit hash (
5270e23cfd27aace9055669ee396926973baa241), executing code downloaded at runtime from third-party sources is a high-risk operation. - [COMMAND_EXECUTION]: The agent is instructed to run shell commands via
npx. While the instructions advise against string interpolation of user input and recommend using an argv-capable runner, the workflow relies on executing system commands to function. - [INDIRECT_PROMPT_INJECTION]: The skill processes untrusted data from social media platforms (Instagram, TikTok, and LinkedIn), which could contain instructions intended to compromise the agent.
- Ingestion points: Captured social media posts, profiles, and comments from external websites (SKILL.md).
- Boundary markers: Explicit instructions are provided to treat all platform data as untrusted and to ignore embedded instructions (SKILL.md).
- Capability inventory: Shell command execution via
npx, browser session access, and local file writing for run records and media (SKILL.md). - Sanitization: The skill includes rules to extract only specific public fields and to avoid reproducing sensitive internal metadata, provider keys, or artifact paths (SKILL.md).
Recommendations
- AI detected serious security threats
Audit Metadata