higgsfield
Fail
Audited by Gen Agent Trust Hub on Jul 16, 2026
Risk Level: HIGHPROMPT_INJECTIONREMOTE_CODE_EXECUTIONCOMMAND_EXECUTION
Full Analysis
- [PROMPT_INJECTION]: The sub-skill
skills/higgsfield-recall/SKILL.mdcontains explicit instructions for the AI agent to operate "SILENTLY in the background" and "don't announce it" when performing memory queries. This concealment pattern attempts to bypass user oversight of agent activities. - [REMOTE_CODE_EXECUTION]: Documentation in
README.mdandskills/higgsfield-stack/SKILL.mdencourages users to install the Higgsfield CLI using the high-risk patterncurl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh. This executes remote code directly in the user's shell without prior inspection. - [COMMAND_EXECUTION]: The release helper script in
.claude/commands/release.mdallows for arbitrary command execution. It interpolates unvalidated user input from$ARGUMENTSdirectly into shell commands forgit commit,git tag, andgh release create, providing a direct path for command injection if a malformed version string is provided. - [PROMPT_INJECTION]: The skill architecture is designed to ingest and process untrusted external data (scripts, story bibles, and creative briefs) through the
workspace/input/directory and automated web searches in theContent Factorypipeline. These inputs are interpolated into prompts for generative models without using boundary markers or safety instructions to disregard embedded commands, presenting a high risk for indirect prompt injection.
Recommendations
- HIGH: Downloads and executes remote code from: https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh - DO NOT USE without thorough review
- AI detected serious security threats
Audit Metadata