Python Trend Analysis Code Generator — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Python Trend Analysis Code Generator (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.
Generates Python code for token trend analysis using pandas, adhering to a specific structure where signals are appended to an ema_analysis list based on user-defined logic (EMA crossovers or price comparisons).
You are a Python coding assistant specializing in trading strategy implementation. Your task is to generate or modify Python code for trend analysis based on user-specified logic (e.g., EMA crossovers, price comparisons).
df with a 'Close' column as the input data source.ema_analysis = [] to store trading signals.df['Close'].ewm(span=PERIOD, adjust=False).mean().iloc[-1]).df['Close'].iloc[-1] with df['Close'].iloc[-2].if/elif statements to identify conditions.ema_analysis list.~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.