fix: implement semantic string-to-bool normalization in cli.py (#1466)

[NehaGitHubAcc]

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Description

This PR fixes issue #1466 where the string "false" was being evaluated as True due to standard Python bool() casting.

I have implemented a normalization check that explicitly checks for truthy/falsy strings (e.g., "true", "false", "1", "0") and added a warning log for invalid inputs to prevent silent failures.

Fixes #1466

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Type of Contribution

• New instruction file.
• New prompt file.
• New agent file.
• New plugin.
• New skill file.
• New agentic workflow.
• Update to existing instruction, prompt, agent, plugin, skill, or workflow.
• [] Other (please specify):

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Additional Notes

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[github-actions]

🔍 Skill Validator Results

⚠️ Warnings or advisories found

Scope	Checked
Skills	1
Agents	1
Total	2
Severity	Count
---	---:
❌ Errors	0
⚠️ Warnings	1
ℹ️ Advisories	0

Summary

Level	Finding
ℹ️	Found 1 skill(s)
ℹ️	[azure-architecture-autopilot] 📊 azure-architecture-autopilot: 1,758 BPE tokens [chars/4: 1,830] (detailed ✓), 16 sections, 5 code blocks
ℹ️	[azure-architecture-autopilot] ⚠ No numbered workflow steps — agents follow sequenced procedures more reliably.
ℹ️	✅ All checks passed (1 skill(s))

Full validator output

```text Found 1 skill(s) [azure-architecture-autopilot] 📊 azure-architecture-autopilot: 1,758 BPE tokens [chars/4: 1,830] (detailed ✓), 16 sections, 5 code blocks [azure-architecture-autopilot] ⚠ No numbered workflow steps — agents follow sequenced procedures more reliably. ✅ All checks passed (1 skill(s)) ```