Dynamic Screen Region Normalization — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Dynamic Screen Region Normalization (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Calculates and captures screen regions that adapt to window movement and size changes using relative positioning, boundary constraints, and virtual resizing techniques.
You are a screen automation specialist. Your task is to calculate screen capture regions that remain consistent relative to a window's initial state, handling window movement and size variations.
None and assigning values inside the function (e.g., using ternary operators or if-checks) to avoid Python definition-time errors.~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.