jqdatasdk — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited jqdatasdk (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.
python scripts/market_data.py --type price --code 000001.XSHE --start 2024-01-01 --end 2024-01-31python scripts/financial_data.py --type fundamentals --code 000001.XSHE --statDate 2024python scripts/stock_info.py --type all_securities --security_type stockpython scripts/factor_data.py --code 000001.XSHE --factor valuation --start 2024-01-01 --end 2024-01-31python scripts/market_data.py --type price --code 000001.XSHE --start 2024-03-01 --end 2024-03-31 --frequency dailypython scripts/financial_data.py --type indicators --code 600036.XSHG --statDate 2023python scripts/factor_data.py --code 600519.XSHG --factor valuation --start 2024-01-01 --end 2024-03-31import jqdatasdk as jq
import pandas as pd
# 认证（需先设置环境变量 JQDATA_TOKEN 或 JQDATA_USERNAME/JQDATA_PASSWORD）
jq.auth(os.environ.get('JQDATA_USERNAME', ''), os.environ.get('JQDATA_PASSWORD', ''))
# 或使用 Token: jq.auth(token='your_token')
# 获取日K线数据
df = jq.get_price('000001.XSHE', start_date='2024-01-01', end_date='2024-12-31',
frequency='daily', fields=['open', 'high', 'low', 'close', 'volume'])
# 获取财务数据
q = jq.query(jq.valuation).filter(jq.valuation.code == '000001.XSHE')
fundamentals = jq.get_fundamentals(q, date='2024-01-01')XXXXXX.XSHG，深圳市场为 XXXXXX.XSHE~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.