higgsfield

Fail

Audited by Gen Agent Trust Hub on Sep 29, 2026

Risk Level: HIGHREMOTE_CODE_EXECUTIONDYNAMIC_EXECUTIONINDIRECT_PROMPT_INJECTIONEXTERNAL_DOWNLOADSOBFUSCATION
Full Analysis
  • [REMOTE_CODE_EXECUTION]: The documentation includes installation instructions that use piped shell execution to download and run scripts directly.
  • Evidence: curl -fsSL https://raw.githubusercontent.com/Koushik890/higgsfield-api-skill/main/install.sh | sh in README.md.
  • Evidence: irm https://raw.githubusercontent.com/Koushik890/higgsfield-api-skill/main/install.ps1 | iex in README.md.
  • [DYNAMIC_EXECUTION]: The skill uses dynamic module loading by encoding code into a Base64 data URI at runtime.
  • Evidence: return import("data:text/javascript;base64," + Buffer.from(module).toString("base64")) in bin/agents.js.
  • [INDIRECT_PROMPT_INJECTION]: The skill ingests external data from the Higgsfield API and documentation sites.
  • Ingestion points: Fetches model metadata and schemas from open.higgsfield.ai and dash.higgsfield.ai.
  • Boundary markers: None explicitly defined for external API data ingestion.
  • Capability inventory: Subprocess calls to Python scripts, file system writes for downloads and model syncs, and network communication with Higgsfield endpoints.
  • Sanitization: Implements strict JSON schema validation for all model input parameters in scripts/hf.py.
  • [OBFUSCATION]: The agent detection script uses Base64 encoding to dynamically load a generated JavaScript module.
  • [EXTERNAL_DOWNLOADS]: The skill fetches model configuration and updates from remote Higgsfield servers and provides installation scripts hosted on GitHub.
Recommendations
  • HIGH: Downloads and executes remote code from: https://raw.githubusercontent.com/Koushik890/higgsfield-api-skill/main/install.sh - DO NOT USE without thorough review
Audit Metadata
Risk Level
HIGH
Analyzed
Sep 29, 2026, 10:10 AM