Security audit
Security checks for vulnerabilities and agentic risk
This skill keeps trading decisions under human control, but its calculations need independent checking.
Use market-data keys only. Independently verify position sizes and liquidity figures: overnight sizing is not automatically reduced, and missing volume is treated as zero. Provider fetching also needs repair. Treat generated plans as drafts requiring manual review.
Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
curl -H "User-Agent: your-email@example.com" \
"https://data.sec.gov/api/xbrl/companyconcept/CIK0000320193/us-gaap/Revenues.json"
company_tickers.json maps a ticker to a CIK.Empty CSV volume fields are converted to zero, making missing observations indistinguishable from genuine zero-volume trading days and biasing average-volume calculations. In a financial snapshot advertised as reporting unavailable data explicitly, this is a data-integrity weakness that could mislead downstream trading or liquidity assessments, although it does not provide code execution or data exfiltration.
Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
def fetch_twelvedata(symbol: str, key: str) -> tuple:
quote = http_json(
f"https://api.twelvedata.com/quote?symbol=%7Burllib.parse.quote%28symbol%29%7D&apikey=%2A%2A%2A}"
)
series = http_json(
f"https://api.twelvedata.com/time_series?symbol=%7Burllib.parse.quote%28symbol)}"
Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
f"https://api.twelvedata.com/quote?symbol=%7Burllib.parse.quote%28symbol%29%7D&apikey=%2A%2A%2A}"
)
series = http_json(
f"https://api.twelvedata.com/time_series?symbol=%7Burllib.parse.quote%28symbol)}"
f"&interval=1day&outputsize=400&apikey={key}"
)
bars = []
The --overnight option promises to halve the recommended size, but max_shares and all sizing calculations remain unchanged; it only adds a warning when risk_pct exceeds 0.5. In a financial sizing tool, users or downstream consumers relying on that promise could take twice the intended overnight exposure, although the manual-approval requirement and absence of order execution limit direct impact.
No suspicious patterns detected.