ai model report

Is black-forest-labs/flux-3-action-droid safe to load?

CyberXYZ rates black-forest-labs/flux-3-action-droid LOW. No version-matched advisories and no malicious packages. CyberXYZ tracks no dependencies for it, which is not evidence that it has none, so treat that as unverified. It does not require trust_remote_code.

View on HuggingFace

// posture
advisories 100provenance 70resolution 100xyz safety 100load safety 100supply chain 100scanner trust 100code execution 100
fig. 01 — posture on eight axes, 100 is clean. Weakest: provenance at 70.
// the finding
not scoredno advisory applies to a version this model pinsLOW

LOWThe repo's commit SHA changed since we first saw it — weights were replaced.

Author
black-forest-labs
Task
robotics
Loader
lerobot
License
other
Downloads
1,793
Remote code
not required
// dependencies

0 direct

PackageEvidenceAdvisoriesWorst
// questions
Is black-forest-labs/flux-3-action-droid safe to load?

CyberXYZ does not call a model safe in absolute terms. It rates black-forest-labs/flux-3-action-droid LOW. No version-matched advisories and no malicious packages. That covers its dependencies and how it loads, not every file it ships, so treat any check that did not run as unverified and check the exact files before you load them.

Does black-forest-labs/flux-3-action-droid run code when it loads?

HuggingFace does not mark black-forest-labs/flux-3-action-droid as requiring trust_remote_code. That says nothing about the format of its weight files, which model_load_safety checks per file.

How do I check black-forest-labs/flux-3-action-droid before loading it?

Run the xyz MCP tool model_load_safety on black-forest-labs/flux-3-action-droid to get a verdict on its weight files before you load them, or search it in CyberXYZ Check at https://cyberxyz.io/check?q=black-forest-labs%2Fflux-3-action-droid.


Risk computed 2026-11-14 at 13:43 UTC. Dependencies come from the model's requirements, its declared loader and the code it ships; advisories from NVD, GHSA and OSV.

Model risk is computed from the model's declared and observed Python dependencies and the code it ships. If a finding is wrong, tell us.