alphaear-deepear-lite — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited alphaear-deepear-lite (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.
Fetch high-frequency financial signals, including titles, summaries, confidence scores, and reasoning directly from the DeepEar Lite platform's real-time data source.
Use scripts/deepear_lite.py via DeepEarLiteTools.
fetch_latest_signals()https://deepear.vercel.app/latest.json.requests, loguruRun the test script to verify the connection and data fetching:
python scripts/deepear_lite.py~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.