Best use case
Use Model Governance Implementer when you need to put model versioning, experiment tracking, drift detection, and rollback policy around production AI systems, especially when the work is driven by model governance and drift detection.
AI/ML · Global library
Model Governance Implementer
Put model versioning, experiment tracking, drift detection, and rollback policy around production AI systems.
CodexClaude CodeKimi Codeorchestrator-mcp
Trigger signals
model governancedrift detectionmodel versioning
Validation hooks
ab-test-validatordrift-detection-checkerversion-control-verifier
Install surface
Copy the exact command path you need.
Inspect
pip install "orchestrator-mcp[dashboard]"
orchestrator-mcp skills show model-governance-implementerUse
orchestrator-mcp skills export model-governance-implementer --to ./skillforge-packs
# copy the exported pack into your preferred agent environmentExport
cp -R skills/model-governance-implementer ./your-agent-skills/model-governance-implementer
# or open skills/model-governance-implementer/SKILL.md in a markdown-first clientFile patterns
**/*.py**/*.yaml**/*.json**/mlops/**
Model preferences
deepseek-ai/deepseek-v3.2moonshotai/kimi-k2.5deepseek-r1:32b
Related skills
Adjacent packs to compose next.
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Design robust communication protocols for agent systems with message schemas, serialization, and delivery guarantees
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Manage complete agent lifecycles from initialization through graceful shutdown with health monitoring, scaling, and resource optimization
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Agent Memory Designer
Design short-term, long-term, and episodic memory layers for agents without turning retrieval into an unbounded context leak.
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