amc-setup-calibration-stack

Fail

Audited by Snyk on Jul 15, 2026

Risk Level: HIGH
Full Analysis

HIGH W007: Insecure credential handling detected in skill instructions.

  • Insecure credential handling detected (high risk: 1.00). The skill instructs the agent to ask for NGC and HuggingFace tokens (with a chat fallback) and then embed those secrets directly into shell commands (e.g., echo "<NGC_API_KEY>" | docker login ... and HF_TOKEN="<HF_TOKEN>" "$HF_BIN" ...), which requires the LLM to handle/output secret values verbatim.

MEDIUM W012: Unverifiable external dependency detected (runtime URL that controls agent).

  • Potentially malicious external URL detected (high risk: 0.90). The skill performs runtime operations that fetch and execute remote artifacts — notably contacting nvcr.io to pull and run NGC container images (docker login nvcr.io) and referencing the GitHub repo (https://github.com/NVIDIA-AI-IOT/auto-magic-calib.git) which may be cloned and used to run docker-compose — so these external endpoints are runtime dependencies that can result in executing remote code.

MEDIUM W013: Attempt to modify system services in skill instructions.

  • Attempt to modify system services in skill instructions detected (high risk: 1.00). The skill explicitly instructs privileged state changes (sudo usermod to add the user to the docker group and sudo chown -R 1000:1000 on project/model directories, plus suggesting sudo apt install), which ask the agent (or user acting on the agent's instructions) to modify system ownership and user/group membership — actions that alter the host machine's security state.

Issues (3)

W007
HIGH

Insecure credential handling detected in skill instructions.

W012
MEDIUM

Unverifiable external dependency detected (runtime URL that controls agent).

W013
MEDIUM

Attempt to modify system services in skill instructions.

Audit Metadata
Risk Level
HIGH
Analyzed
Jul 15, 2026, 10:06 AM
Issues
3
Security Audit — snyk — amc-setup-calibration-stack