PSRafScan Editorial Policy
See how PSRafScan articles handle sources, authorship, AI assistance, code verification, dates, product conflicts, material updates, and corrections.
Source hierarchy
- Current verified PSRafScan source and public first-party documentation.
- Current official Microsoft documentation for PowerShell behavior.
- Dated verification records and observed test output.
- Carefully labeled inference only when primary evidence does not answer a nonmaterial point.
Authorship and accountability
Rafael Lucas is the named author of the Day 1 articles and is identified only as creator and maintainer of PSRafScan. The author is accountable for the claims in each article. No independent human technical reviewer is claimed unless a real reviewer performs and records that work.
Technical verification
- Code examples are compared with current source interfaces.
- Required examples are parsed or scanned in PowerShell 7.4+ with the environment and product commit recorded.
- Intentionally destructive samples are never executed; they are scanned as text only.
- Only explicitly benign controlled fixtures are executed.
- Observed behavior controls the copy when it differs from a draft expectation.
AI assistance
Material AI assistance may be used to organize evidence, draft, edit, test, and check content. AI assistance is disclosed concisely. It does not replace human authorship accountability, source verification, or a separate runtime-test decision.
Dates, conflicts, and updates
- Published date records the first public release of the article.
- Modified date changes only after a material public update.
- When sources conflict, current verified source controls over an older snapshot and the supersession is recorded.
- Snapshot-bound counts and versions always show a reviewed version or date.
- Material corrections are logged; typo-only edits need not create a material-correction entry.
Submit a correction
Use the privacy-aware process on Corrections. Do not include secrets, private scripts, credentials, customer data, or an unpublished vulnerability in a public issue.