earnings-calendar — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited earnings-calendar (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.
Retrieve upcoming earnings dates for stocks.
Note: Ifuvis not installed orpyproject.tomlis not found, replaceuv run pythonwithpythonin all commands below.
uv run python scripts/earnings.py SYMBOLSSYMBOLS - Ticker symbol or comma-separated list (e.g., AAPL or AAPL,MSFT,GOOGL,NVDA)Single symbol returns:
symbol - Ticker symbolearnings_date - Next earnings date (YYYY-MM-DD)timing - "BMO" (Before Market Open), "AMC" (After Market Close), or nulleps_estimate - Consensus EPS estimate, or null if unavailableMultiple symbols returns:
results - Array of earnings info, sorted by date (soonest first)# Single symbol
uv run python scripts/earnings.py NVDA
# Multiple symbols (sorted by date)
uv run python scripts/earnings.py AAPL,MSFT,GOOGL,NVDA,META
# Portfolio earnings calendar
uv run python scripts/earnings.py CAT,GOOG,HOOD,IWM,NVDA,PLTR,QQQ,UNHpandasyfinanceAll timestamps and time-based calculations must use the America/New_York timezone. All JSON output must include generated_at (NY time string) and data_delay fields.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.