CLI and workspace hygiene · Lesson 9 of 12 · 8 min

Build an evidence directory

An evidence directory should group related observations and leave source artifacts unchanged. A directory name can carry a case ID while each file names one type of evidence.

Open the lab Course map

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learner@clairos:~ $

↑ history · Tab complete · Ctrl+C cancel · Esc, Tab to leaveExit 0

Your objectives

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1
Read the case evidence
Read /opt/ai-lab/cases/aiops-cli-workspace-009.json. Separate the recorded facts from your assumptions.
Hint & worked example
An evidence directory should group related observations and leave source artifacts unchanged. A directory name can carry a case ID while each file names one type of evidence.
The complete case JSON is read successfully.
```
cat /opt/ai-lab/cases/aiops-cli-workspace-009.json
```
Common mistake to avoid: Mix this case with unrelated files and omit the decision note.
2
Isolate the deciding signal
Select the files field from the case JSON. What does it establish—and what does it not establish?
Hint & worked example
Keep the manifest, trace and decision together under the case directory.
A successful JSON query isolates files.
```
jq .files /opt/ai-lab/cases/aiops-cli-workspace-009.json
```
Common mistake to avoid: Using a different case or an unrelated signal as the justification.
3
Record your operational decision
Choose the justified code: keep-bundle-together, change-without-evidence, or ignore-the-signal. Save that one code followed by a newline in /home/learner/lab/aiops-cli-workspace-009-decision.txt.
Hint & worked example
Keep the manifest, trace and decision together under the case directory.
The decision artifact contains the correct code, not just a matching command in history.
```
printf '%s\n' 'keep-bundle-together' > /home/learner/lab/aiops-cli-workspace-009-decision.txt
```
Common mistake to avoid: Mix this case with unrelated files and omit the decision note.

Understand the pattern

An evidence directory should group related observations and leave source artifacts unchanged. A directory name can carry a case ID while each file names one type of evidence.

Interpret the evidence

Keep the manifest, trace and decision together under the case directory.

A tempting mistake

Mix this case with unrelated files and omit the decision note.

All names, measurements, prices, versions, and thresholds in this exercise are fictional training data. The evidence supports this bounded scenario, not a claim about a live provider.

Worked example and expected result

$ cat /opt/ai-lab/cases/aiops-cli-workspace-009.json

{
  "fixture": "Fictional training data; not a live measurement.",
  "directory": "lab/case-014",
  "files": [
    "manifest.json",
    "trace.txt",
    "decision.txt"
  ],
  "source_changed": false
}

Exit status: 0. The command completed successfully in the training fixture.

$ jq .files /opt/ai-lab/cases/aiops-cli-workspace-009.json

[
  "manifest.json",
  "trace.txt",
  "decision.txt"
]

Exit status: 0. The command completed successfully in the training fixture.

$ printf '%s\n' 'keep-bundle-together' > /home/learner/lab/aiops-cli-workspace-009-decision.txt

(no output; exit 0)

Exit status: 0. The command completed successfully in the training fixture.

Try a variation

Name the assumption that would have to change for “keep-bundle-together” to stop being the justified action. Do not silently replace missing evidence with a guess.

Explain it

What does the evidence in “Build an evidence directory” justify?Keep the manifest, trace and decision together under the case directory.Mix this case with unrelated files and omit the decision note.Make the change now and gather the missing evidence afterward.

Apply it elsewhere

A colleague concludes: “Mix this case with unrelated files and omit the decision note.” What should you do?Accept it because the training command completed.Treat this fixture as a live measurement.Reject that conclusion; return to the case evidence and its stated limits.

Keep the momentum.

Complete the lab, then explain and apply the pattern.

Next: Verify a manifest checksum Try an incident drill

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Keep learning

Case methodology: evidence, limits, decision