lord1egypt/ai-skillforge/skill-verify-cli-changes-example-for-verify-skill

Verifying a CLI change

The handle is direct invocation. The evidence is stdout/stderr/exit code.

Pattern

1. Build (if the CLI needs building)
2. Run with arguments that exercise the changed code
3. Capture output and exit code
4. Compare to expected

CLIs are usually the simplest to verify — no lifecycle, no ports.

Worked example

Diff: adds a --json flag to the status subcommand. New flag parsing in cmd/status.go, new output branch.

Claim (commit msg): "machine-readable status output."

Inference: tool status --json now exists, emits valid JSON with the same fields the human output shows. tool status without the flag is unchanged.

Plan:

1. Build
2. tool status → human output, same as before (non-regression)
3. tool status --json → valid JSON, parseable
4. JSON fields match human output fields

Execute:

go build -o /tmp/tool ./cmd/tool
 
/tmp/tool status
# → Status: healthy
# → Uptime: 3h12m
# → Connections: 47
 
/tmp/tool status --json
# → {"status":"healthy","uptime_seconds":11520,"connections":47}
 
/tmp/tool status --json | jq -e .status
# → "healthy"
# (jq -e exits nonzero if the path is null/false — cheap validity check)
 
echo $?
# → 0

Verdict: PASS — flag works, JSON is valid, fields line up.

What FAIL looks like

• unknown flag: --json → not wired up, or you're running a stale build
• Output isn't valid JSON (jq errors) → serialization bug
• tool status (no flag) changed → regression; the diff touched more

than it should

• JSON has different field names than expected → claim/code mismatch,

might be fine, note it

Reading from stdin, destructive commands

If the CLI reads stdin → pipe in test data. If it writes files / hits a network / deletes things → point it at a tmp dir / a mock / a dry-run flag. If there's no safe mode and the diff touches the destructive path, say so and verify what you can around it.