Is unity-ml-agents safe to install?

SaferSkills independently audited unity-ml-agents (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.

CategoryWeightCategory scoreContribution

Securityprompt, exec, net, exfil, eval

35%

100

35.0 pts

Supply chainhash, typosquat, maintainer, lockfile

20%

100

20.0 pts

Maintenancestaleness, pinning, CI

15%

100

15.0 pts

TransparencySKILL.md, perms, README

15%

100

15.0 pts

Communityinstalls, verify, response

15%

100

15.0 pts

Findings & checks · 0 flagged

Securityscore 100 · 0 findings

✓—All security checks passedNo findings in this category for the latest scan.pass

Supply chainscore 100 · 0 findings

✓—All supply chain checks passedNo findings in this category for the latest scan.pass

Maintenancescore 100 · 0 findings

✓—All maintenance checks passedNo findings in this category for the latest scan.pass

Transparencyscore 100 · 0 findings

✓—All transparency checks passedNo findings in this category for the latest scan.pass

Communityscore 100 · 0 findings

✓—All community checks passedNo findings in this category for the latest scan.pass

The primary manifest — the file an agent reads to learn what this artifact does.

skills/unity-ml-agents/SKILL.md · 1 file

skills/unity-ml-agents/SKILL.md1.2 KB · Markdown

name: unity-ml-agents

description: >-

Use when working on Unity ML-Agents: training configs, BehaviorParameters,

sensors, actuators, inference in builds, or com.unity.ml-agents packages.

Unity ML-Agents

Discovery (unity-mcp-server)

get_ai_stack_summary — packages, ONNX assets, script hits, training YAMLs
get_ai_ml_package_inventory — confirm com.unity.ml-agents version
list_ml_agents_training_configs — trainer YAML paths
find_ai_related_scripts — filter label ML-Agents

Implementation checklist

Training: YAML defines behaviors, trainer_type, hyperparameters; keep configs in repo root or config/.
Inference: Prefabs/scenes need BehaviorParameters + trained .onnx in Model field; verify with list_prefabs_with_component for BehaviorParameters if serialized as component name.
Sensors/Observations: Stack vector observations consistently between training and runtime.
Performance: Prefer inference on worker thread; cap decision frequency for mobile.

Common prompts

"Does this project use ML-Agents?"
"List ML-Agents training configs and ONNX models"
"Which scripts reference BehaviorParameters?"

unity-ml-agents— agent skill

Is unity-ml-agents safe to install?

Unity ML-Agents

Discovery (unity-mcp-server)

Implementation checklist

Common prompts

Audit the pieces. Scan the whole. Decide.