desktop-automation-protocol — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited desktop-automation-protocol (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.
| Goal | Tool | Example |
|---|---|---|
| Click a known button | automation_elements(click, title="Save") | fast, needs exact title |
| Click by intent | automation_smart(click="the Save button") | slower, finds across all windows |
| Complex multi-step | automation_mission(run="save file as PDF") | autonomous loop with retry |
| Record + replay | automation_macro(record) → stop → replay | repeatable sequences |
| Wait for event | automation_watch(start, "window_appears", "Update") | event-driven triggers |
| Explore desktop | automation_smart(discover) | get all running apps |
| Extract + chain | automation_mission(workflow, actions, store_as, dollar-ref) | cross-app data pipeline |
For run operation: provide a clear, concrete goal. The server decomposes via LLM sampling. For workflow operation: provide explicit steps with tool, params, label, and optional store_as/dollar-ref for data chaining. For self-healing: set app_path on steps so the mission can re-launch crashed apps.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.