CLI and workspace hygiene

Verify a manifest checksum

Verify a manifest checksum through a bounded evidence-first AI operations workflow in the training lab.

CLI and workspace hygiene
9 min Beginner Lesson 25 of 180
cat /opt/ai-lab/workspace/README.txtaiops incidents review verify-a-manifest-checksumgrep incidents /opt/ai-lab/workspace/README.txt
Lesson 25 of 180 0/180 lessons 0/18 missions 0/11 briefings CLI and workspace hygiene · 9 min
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AI operations terminal Training lab
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learner@aiops:/home/learner $ AI operations lab: type a command, press Enter
Instructions 9 min

Click any instruction for the command details, the why, and the common mistake to avoid.

Inspect the cli and workspace hygiene baseline

Type this exactly: cat /opt/ai-lab/workspace/README.txt

cat /opt/ai-lab/workspace/README.txt
Run the incidents review

Type this exactly: aiops incidents review verify-a-manifest-checksum

aiops incidents review verify-a-manifest-checksum
Confirm the evidence

Type this exactly: grep incidents /opt/ai-lab/workspace/README.txt

grep incidents /opt/ai-lab/workspace/README.txt
Lesson support

What to notice while you play.

Objective

Use commands and observable output to explain verify a manifest checksum without changing a real model or service.

Hint

Start with cat /opt/ai-lab/workspace/README.txt. Then run aiops incidents review verify-a-manifest-checksum before collecting the final evidence.

Why it matters

Verify a manifest checksum is an operator skill because AI behavior must be connected to versioned configuration, runtime state, and inspectable evidence.

Common mistakes
  • Skipping the baseline fixture before reasoning about verify a manifest checksum.
  • Treating one simulated output as proof of root cause instead of one bounded piece of evidence.
Reference

Commands in this lesson.

aiops models

Inspect the simulated model catalog, manifests, and version comparisons.

aiops prompts

Review versioned prompt metadata and deterministic prompt diffs.

aiops evals

Run and inspect bounded evaluation fixtures without model execution.

aiops rag

Inspect retrieval documents, chunks, index status, and reviewed results.

aiops traces

Read deterministic request traces, summaries, and latency evidence.

aiops guardrails

Review simulated guardrail policies, checks, and audit summaries.

aiops cost

Estimate cost and capacity from fixed training metrics.

aiops incidents

Review incident timelines, evidence bundles, and operator notes.