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Mlops Workflow

skill-noah-sheldon-ai-dev-kit-mlops-workflow · by noah-sheldon

MLOps workflow for training, evaluation, deployment, and retraining.

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Install

$ agentstack add skill-noah-sheldon-ai-dev-kit-mlops-workflow

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Mlops Workflow

Use this when the current task matches the workflow described by this skill.

When to Use

  • The task needs a repeatable, specialized workflow.
  • The task would benefit from reusable process guidance.
  • You want a consistent operating procedure.

Core Focus

  • Training, evaluation, and deployment
  • Retries, rollbacks, and observability
  • Measure model quality before release and keep rollback paths obvious.

Workflow

  1. Restate the job in one sentence.
  2. Identify the relevant files, commands, or services.
  3. Apply the skill in small, verifiable steps.
  4. Verify the outcome before moving on.

Verification

  • Prefer concrete checks over vague reassurance.
  • Validate the main behavior and at least one failure path.
  • Keep the response short and direct.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.