heartmula

Pass

Audited by Gen Agent Trust Hub on Oct 2, 2026

Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTION
Full Analysis
  • [EXTERNAL_DOWNLOADS]: The skill instructs the user to clone a codebase from a GitHub repository and download multiple model checkpoints from Hugging Face. \n
  • Repository source: https://github.com/HeartMuLa/heartlib.git. \n
  • Model sources: HeartMuLa/HeartMuLaGen, HeartMuLa/HeartMuLa-oss-3B-happy-new-year, and HeartMuLa/HeartCodec-oss-20260123 from Hugging Face.
  • [COMMAND_EXECUTION]: The skill requires the execution of several shell commands for environment setup and music generation. \n
  • Setup commands: git clone, uv venv, uv pip install -e ., and uv pip install --upgrade for datasets and transformers. \n
  • Execution command: python ./examples/run_music_generation.py with various arguments for paths and generation parameters.
  • [INDIRECT_PROMPT_INJECTION]: The skill ingests untrusted user data in the form of lyrics and tags to generate music, which constitutes an indirect prompt injection surface. \n
  • Ingestion points: The skill reads from ./assets/lyrics.txt and ./assets/tags.txt during the generation process in SKILL.md. \n
  • Capability inventory: The primary capability is audio generation and saving output to a file (./assets/output.mp3) via the run_music_generation.py script. \n
  • Boundary markers: The instructions provide structural tags for lyrics (e.g., [Intro], [Chorus]), but no specific sanitization or delimiters are mentioned to prevent the model from interpreting content as instructions. \n
  • Sanitization: No explicit sanitization or filtering of the input text is described in the skill instructions.
Audit Metadata
Risk Level
SAFE
Analyzed
Oct 2, 2026, 04:02 PM