screen-describe — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited screen-describe (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.
Your local Claude, as eyes on your screen. BYOK, read-only, screenshot deleted after.
python3 screen_describe.py # dry pre-flight (checks deps, captures nothing)
python3 screen_describe.py --apply # capture + describe what's on screen
python3 screen_describe.py --apply --question "is there an error visible anywhere?"Sometimes you want an AI to actually see your screen — "what's this error", "what am I looking at" — without screenshotting + uploading anywhere. This runs entirely on your machine: screencapture → your local claude (your own plan) → a 2-3 sentence read. The screenshot is deleted the moment it's read; nothing leaves your box except the model call you already pay for.
screencapture + claude are present, exits 0.FATAL + exit 2.screencapture) + Screen Recording permission for the running app.claude CLI, logged in to your Anthropic plan. No API key, no Python packages.~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.