Agent skill

Quantdb SDK

by qusong0627 in qusong0627/QuantMind

QuantDB 数据 SDK — API Key 配置、数据集目录、字段查询。在 QuantBot / Claude Code 中查询 QuantDB 数据、配置 API Key、预览/同步数据集、远程查询 K 线/财务/因子时使用。触发词:quantdb、QuantDB、数据key、API key、数据集、数据字段、远程数据、同步数据集、查询K线、查看字段

AGPL-3.0Auto-check passedBusiness, Finance & HR

Install Quantdb SDK

skills CLI
$ npx skills add qusong0627/QuantMind --skill quantdb-sdk -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install qusong0627/QuantMind quantdb-sdk --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/qusong0627/QuantMind.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/quantdb-sdk .claude/skills/quantdb-sdk && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
quantdb-sdk
GitHub stars
1.7k
Token cost
~2.6k tokens
SKILL.md length
432 words
Files
1
Skills in repo
27
Repo updated
First seen
Licence
AGPL-3.0

At a glance

QuantDB 数据 SDK — API Key 配置、数据集目录、字段查询。在 QuantBot / Claude Code 中查询 QuantDB 数据、配置 API Key、预览/同步数据集、远程查询 K 线/财务/因子时使用。触发词:quantdb、QuantDB、数据key、API key、数据集、数据字段、远程数据、同步数据集、查询K线、查看字段

  • Works in 8 steps: API Key 配置 → 数据集目录(能获取哪些字段) → 数据预览 → …
  • Business, Finance & HR work in your project
  • SKILL.md covers 1. API Key 配置, 2. 数据集目录(能获取哪些字段), 3. 数据预览 and 4. 远程 SDK 查询(消耗流量配额), plus 6 more sections
  • Calls curl and python3; needs QUANTDB_API_KEY

What it does

Quantdb SDK is an agent skill from qusong0627/QuantMind. QuantDB 数据 SDK — API Key 配置、数据集目录、字段查询。在 QuantBot / Claude Code 中查询 QuantDB 数据、配置 API Key、预览/同步数据集、远程查询 K 线/财务/因子时使用。触发词:quantdb、QuantDB、数据key、API key、数据集、数据字段、远程数据、同步数据集、查询K线、查看字段

Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Business, Finance & HR. The repository describes itself as: QuantMind(量化大脑)开源版是一款面向个人开发者与投研团队的 AI 原生多市场量化交易平台。深度集成微软 Qlib、RD-Agent 因子演化与 QuantBot全能工作台,提供从 300+ 维因子挖掘、13 种机器学习与深度学习模型工场、Qlib 高性能回测、截面批量推理、7x24… The licence is AGPL-3.0.

When your agent uses it

  • Business, Finance & HR work in your project

Example prompts

  • “/quantdb-sdk”

Requirements

  • Python 3
  • A credential in QUANTDB_API_KEY

Workflow steps

8 steps, taken from the step headings in SKILL.md.

  1. API Key 配置
  2. 数据集目录(能获取哪些字段)
  3. 数据预览
  4. 远程 SDK 查询(消耗流量配额)
  5. 数据同步
  6. 字段详情速查(关键数据集列)
  7. 实战应用
  8. 常见问题

What it can do on your machine

Read from SKILL.md and the folder at commit 2e93d9a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl
    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use curl, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • QUANTDB_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Quantdb SDK loads about 2.6k tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 432 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~48
When it runs · the whole SKILL.md, loaded when a task matches
~2.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from qusong0627/QuantMind at commit 2e93d9a, republished under its AGPL-3.0 licence (© qusong0627). 432 words, ~2,560 tokens.

Download SKILL.mdSave it as .claude/skills/quantdb-sdk/SKILL.md (or your agent's skills folder).
name
quantdb-sdk
description
QuantDB 数据 SDK — API Key 配置、数据集目录、字段查询。在 QuantBot / Claude Code 中查询 QuantDB 数据、配置 API Key、预览/同步数据集、远程查询 K 线/财务/因子时使用。触发词:quantdb、QuantDB、数据key、API key、数据集、数据字段、远程数据、同步数据集、查询K线、查看字段

⚙️ 本技能遵循公共运行环境契约(最高优先级,先于本文其余内容执行): 详见 _shared/env-contract.md,执行前先读它。

QuantDB 数据 SDK 技能

QuantDB 是付费 CDN 数据源,通过 API Key 认证。提供 A 股完整数据:K 线、财务、估值、技术指标、L1/L2 因子(共 315 维 AI 因子)。

1. API Key 配置

1.1 查看配置状态(脱敏)
bash
BASE=http://127.0.0.1:8000
TOKEN=$(curl -s -X POST $BASE/api/v1/auth/login -H "Content-Type: application/json" \
  -d '{"username":"admin","password":"admin123","tenant_id":"default"}' \
  | python3 -c "import sys,json; print(json.load(sys.stdin).get('access_token',''))")
AUTH="Authorization: Bearer $TOKEN"

# 查看 Key 是否已配置 + 数据目录 + runtime.env 路径
curl -s -H "$AUTH" "$BASE/api/v1/admin/data-platform/quantdb/config"
# 返回: {api_key_configured, api_key_masked, data_dir, runtime_env_file}
1.2 保存/更新 API Key
bash
curl -s -X POST -H "$AUTH" -H "Content-Type: application/json" \
  "$BASE/api/v1/admin/data-platform/quantdb/config" \
  -d '{"api_key":"qdb_your_key_here"}'
# 写入 config/runtime.env 并立即生效,当场用 get_me() 验证 Key 可用性
# 返回: {api_key_masked, verified, error}
1.3 SDK 状态
bash
curl -s -H "$AUTH" "$BASE/api/v1/admin/data-platform/quantdb/info"
# 返回: {quantdb: {installed, api_key_configured, ...}}

Key 存储:写入 config/runtime.env(QUANTDB_API_KEY=...),环境变量 QUANTDB_API_KEY 优先。

2. 数据集目录(能获取哪些字段)

QuantDB 按 6 大类 28 个数据集组织,本地已全部落盘(2016-01 至 2026-08):

1 K线行情
数据集内容日期范围
daily_forward日线前复权(训练/回测主用)2016~2026
daily_backward日线后复权2016~2026
daily_unadjusted日线不复权(注意 amount/volume 单位 20260721 切换)2016~2026
index_daily指数日线2016~2026
min5_kline / min1_kline5分钟/1分钟线按需同步
tick_dataTick 逐笔(流量消耗极高)按需
2 基础板块
数据集内容
instrument_detail个股详情(152 列基本面快照)
sector_concept板块概念
index_weights指数权重(沪深300/中证500/1000 等)
trading_calendar交易日历
margin_trading融资融券
3 财务数据(按 symbol 文件)

balance(资产负债表)/ income(利润表)/ cashflow(现金流量表)/ capital(股本结构)/ pershare_index(每股指标)/ dividend_factors(分红因子)/ holder_num(股东户数)

4 债券/ETF

etf_pcf(ETF申赎清单)/ convertible_bond(可转债)

5 技术衍生
数据集内容
valuation估值(PE/PB/市值)
technical_indicators技术指标(均线/RSI/KDJ/MACD/波动率)
market_sentiment市场情绪
6 ML数据集(因子核心)
数据集内容
features_daily日频特征(技术指标+估值+交易属性合并,78 列,2026-09 起)
l1_factorsL1 因子(98 因子):动量/波动/流动性/技术/基本面/风格/行业/筹码/概念
l2_factorsL2 因子(216 高频微观因子):VPIN/资金流/价差/深度/订单/竞价/跳跃/冲击
l1_l2_factorsL1+L2 合并
查看数据集目录统计
bash
curl -s -H "$AUTH" "$BASE/api/v1/admin/data-platform/quantdb/catalog"
# 返回: {groups: [{dataset_count, synced_count, files, size_mb}], datasets: [...], data_dir}
远程 meta(各数据集日期范围)
bash
curl -s -H "$AUTH" "$BASE/api/v1/admin/data-platform/quantdb/remote-meta"
# 返回 28 行: {source, dataset, dimension, min_date, max_date, row_count, file_count, file_size}

3. 数据预览

本地预览(零流量)
bash
# 预览数据集样本(本地 parquet 优先)
curl -s -H "$AUTH" "$BASE/api/v1/admin/data-platform/quantdb/preview?dataset=daily_forward&limit=20"
curl -s -H "$AUTH" "$BASE/api/v1/admin/data-platform/quantdb/preview?dataset=valuation&limit=20"
curl -s -H "$AUTH" "$BASE/api/v1/admin/data-platform/quantdb/preview?dataset=l1_factors&limit=20"
# 标的层数据集可指定 symbol
curl -s -H "$AUTH" "$BASE/api/v1/admin/data-platform/quantdb/preview?dataset=income&symbol=600519.SH&limit=20"
# 强制远端 SDK 预览
curl -s -H "$AUTH" "$BASE/api/v1/admin/data-platform/quantdb/preview?dataset=valuation&remote=true&limit=20"
# 返回: {columns: [{name, dtype}], data: [...]}

用 preview 看字段:返回的 columns 就是该数据集全部字段名——这是"能获取到哪些字段"的直接答案。

4. 远程 SDK 查询(消耗流量配额)

bash
# 远程 K 线
curl -s -X POST -H "$AUTH" -H "Content-Type: application/json" \
  "$BASE/api/v1/admin/data-platform/quantdb/query-kline" \
  -d '{"symbol":"600519.SH","adj_type":"qfq","start_date":"2026-01-01","end_date":"2026-08-07"}'
# adj_type: qfq(前复权)/hfq(后复权)/none(不复权)

# 股票列表
curl -s -H "$AUTH" "$BASE/api/v1/admin/data-platform/quantdb/stock-list?keyword=茅台&limit=20"

# 交易日历
curl -s -H "$AUTH" "$BASE/api/v1/admin/data-platform/quantdb/calendar?start_date=2026-08-01&end_date=2026-08-31"

# Tick 逐笔
curl -s -X POST -H "$AUTH" -H "Content-Type: application/json" \
  "$BASE/api/v1/admin/data-platform/quantdb/query-tick" \
  -d '{"symbol":"600519.SH","trade_date":"2026-08-07","fields":"last_price,open,high,low,volume,amount","limit":500}'

5. 数据同步

bash
# 按数据集同步(异步任务)
curl -s -X POST -H "$AUTH" -H "Content-Type: application/json" \
  "$BASE/api/v1/admin/data-platform/quantdb/sync-datasets" \
  -d '{"datasets":["l1_factors","l2_factors"],"with_pg":true,"with_qlib":true}'
# with_pg: 同步后填充 PG stock_daily_latest
# with_qlib: 同步后重建 Qlib 缓存

# 同步任务状态
curl -s -H "$AUTH" "$BASE/api/v1/admin/data-platform/quantdb/sync-jobs"
curl -s -H "$AUTH" "$BASE/api/v1/admin/data-platform/quantdb/sync-jobs/{job_id}"
# 取消任务
curl -s -X POST -H "$AUTH" "$BASE/api/v1/admin/data-platform/quantdb/sync-jobs/{job_id}/cancel"

5.1 数据流转(QuantDB → 本地库)

QuantDB SDK(付费 CDN)
  ↓ sync_dataset() / 增量拉取
本地 parquet(data/quantdb/,V2 分区 dt=YYYYMMDD/data.parquet)
  ↓ DuckDB 视图(quantdb_hub)+ fill_pg_from_parquet
PostgreSQL stock_daily_latest(快照表)
  ↓ qlib_data_builder.py
Qlib 二进制缓存(data/quantdb/.qlib_cache/cn_data)
  ↓ generate_feature_snapshots.py
特征快照(db/feature_snapshots/model_features_{year}.parquet)

Redis DB 分配:0=general、1=auth、2=trade、3=market、4=backtest、5=cache PG 表:stock_daily_latest(A股快照,含行情/基本面/技术/资金流)、feature_snapshots(152维深度特征)

6. 字段详情速查(关键数据集列)

valuation(估值,18 列)

symbol, time, close, total_capital, circulating_capital, total_mv, float_mv, net_profit_ttm, revenue_ttm, equity, annual_net_profit, pe_ttm, pe_static, pb, ps_ttm, dividend_rate

technical_indicators(技术指标,37 列)

close, ma5, ma10, ma20, ma60, ma_gap_5/10/20, rsi_6, rsi_14, kdj_k/d/j, macd_dif/dea/hist, vol_std_5/20/60, vol_atr_14, vol_to_ma5/20, volume_ma_3, amount_ma_5, volume_trend_3d, future_return_1d/3d/5d/10d/20d/60d, pct_change, beta_20

market_sentiment(市场情绪,19 列)

price_range, upper_shadow, lower_shadow, body_ratio, amount_per_trade, liquidity_score, intraday_vol, gap_up_down, buy_pressure, sell_pressure, momentum_1d/3d, am_pm_trend, volume_concentration

features_daily(日频特征合并表,78 列,2026-09 起)

= technical_indicators + valuation 的 46 个数值列(close/ma*/rsi*/kdj*/macd*/vol_*/future_return_*/pct_change/beta_20/total_capital/circulating_capital/total_mv/float_mv/net_profit_ttm/revenue_ttm/equity/annual_net_profit/pe_ttm/pe_static/pb/ps_ttm/dividend_rate)↑ 新增 30 列(全部以字符串存储,用前需转数值):

  • 标记(0/1 字符串):in_hs300, is_hsgt, is_margin, is_kcb_creatable, is_st, is_quit_risk, is_hk
  • 分类:industry_code/industry_name(128 细分行业)、sector_code、region_area_code/region_area_name(32 地区板块)、main_business(自由文本)、list_date(YYYYMMDD 字符串)
  • 市值/股本:total_cap_yi / float_mv_yi(亿元,= total_mv/float_mv÷1e8)、free_float_shares(万股,自由流通股本)
  • 价格:ipo_price、zt_price(涨停价,元)、dt_price(跌停价,元)——基于不复权价
  • 交易行为:hs_turnover(换手率 %)、seal_strength(封板强度)、zaf(当日涨跌幅 %,≈pct_change)、ever_zt_count、year_zt_days
  • 估值/风险:beta_now、dyna_pe(动态PE,含负哨兵)、static_pe_ttm、div_yield(股息率 %)、pb_mrq(市净率 MRQ)

单位陷阱详见 [[quantdb-fields]]:div_yield 是 %(5.14=5.14%),与本表 dividend_rate(小数,÷100)差 100 倍;total_cap_yi/float_mv_yi 是亿元,与本表 total_mv/float_mv(元)差 1e8。

Show full SKILL.md (169 more words)Show less
l1_factors(98 因子)

动量(22): mom_ret_1d~120d, mom_ma_gap_5/10/20, mom_ema_gap_12/26, mom_macd_*, mom_rsi_*, mom_kdj_* 波动(11): vol_std_5/10/20, vol_true_range, vol_atr_20/14, vol_parkinson_10/20, vol_gk_20 流动性(12): liq_volume/amount, liq_volume_ma_5/20, liq_volume_ratio_5/20, liq_amount_ma_5/20, liq_obv_20, liq_mfi_14 基本面(12): fun_turnover_1/5/20, fun_mv/total_mv, fun_pe/pb/bp/ep, fun_mv_rank, fun_value_zscore, fun_roe, fun_peg 风格(9): style_beta_20/60/120, style_idio_vol_20/60, style_residual_ret_20, style_size_20, style_value_20 行业(14): ind_ret_5/10/20, ind_rotation_speed_20, ind_strength_20/60, ind_dispersion_20, ind_breadth_up_20, ind_volume_ratio_20, ind_crowding_20, ind_netflow_rank_20, ind_relative_pe, ind_concentration, ind_relative_momentum_20 筹码(9): chip_profit_ratio_20/60/120, chip_concentration_20, chip_peak_distance, chip_floating_ratio, chip_cost_90_width, chip_profit_delta_5 概念(11): concept_hot_score, concept_momentum_top3, concept_exposure_top1, concept_rotation_score, concept_crowding_max, concept_diversity, concept_flow_rank, concept_leader_score, concept_cross_sector, concept_volume_ratio

l2_factors(216 高频微观因子)

VPIN/价差/深度/订单/资金流/已实现波动/竞价/跳跃/冲击等,如 micro_vpin_8/20/50, micro_pin, micro_order_flow_toxicity, micro_realized_spread, micro_kyle_lambda, micro_amihud_illiquidity, micro_depth_imbalance_1, flow_money_flow_index, vol_realized_rv/rrv/rskew, micro_jump_count_1pct, micro_trade_buy/sell_pressure

6.1 字段单位速查 → [[quantdb-fields]]

⚠️ 用数据前必查单位。各数据集单位不一(个股 volume=股、指数 volume=手、amount=万元、dividend_rate 是 % 百分数值不是小数),搞错差 1e4~1e6 倍。全部实测验证的单位表见 [[quantdb-fields]] 技能:

  • 个股 kline:volume=股、amount=万元;指数 index_daily:volume=手、amount=万元
  • technical_indicators close=后复权;valuation close=不复权
  • vol_std:technical_indicators 是 %,l1 是小数(差 100 倍)
  • dividend_rate=0.148 表示 0.148%,不是 14.8%
  • PG stock_daily_latest:symbol 是前缀 SH601138,amount 也是万元

7. 实战应用

  • 数据落盘校验:catalog + remote-meta 看覆盖,preview 看字段
  • 当日数据补全:本地缺当日时用 query-kline 远程拉
  • 因子挖掘原料:sync-datasets 同步 l1/l2_factors,喂给 [[rd-agent-factor-mining]]
  • 选股字段:valuation/l1_factors 的字段是 [[smart-strategy-stock-picking]] 的数据源
  • 训练特征:features_daily/l1_factors 是 [[quantmind-operations]] 模型训练的特征来源

8. 常见问题

现象原因处理
API Key 未配置缺 QUANTDB_API_KEY/config POST 保存
verified=falseKey 无效/过期重新获取 Key
preview 空本地未同步该数据集用 remote=true 或先 sync
流量消耗高频繁远程查询优先本地 parquet,preview 默认零流量
min1/tick 无数据未同步按需 sync-datasets

© qusong0627, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/quantdb-sdk of qusong0627/QuantMind.

Open the folder on GitHubat commit 2e93d9a

Compare with similar skills

Quantdb SDK next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Quantdb SDK this skillqusong0627/QuantMind1.7k—~2.6kAutomated safety check: PassAGPL-3.0
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Theme Detectortradermonty/claude-trading-skills3k2 repos~4.9kAutomated safety check: PassMIT
Itr Walakaranb192/itr-wala871—~3.6kAutomated safety check: PassMIT

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    面向中文自然语言的 Tushare 数据研究技能。用于把“看看这只股票最近怎么样”“帮我查财报趋势”“最近哪个板块最强”“北向资金在买什么”“给我导出一份行情数据”这类请求,转成可执行的数据获取、清洗、对比、筛选、导出与简要分析流程。适用于 A 股、指数、ETF/基金、财务、估值、资金流、公告新闻、板块概念与宏观数据等研究场景。

    319 GitHub starsUsed in 2 repos~2.3k tokens
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Questions about Quantdb SDK

What does Quantdb SDK do?

QuantDB 数据 SDK — API Key 配置、数据集目录、字段查询。在 QuantBot / Claude Code 中查询 QuantDB 数据、配置 API Key、预览/同步数据集、远程查询 K 线/财务/因子时使用。触发词:quantdb、QuantDB、数据key、API key、数据集、数据字段、远程数据、同步数据集、查询K线、查看字段. Quantdb SDK is an agent skill from qusong0627/QuantMind.

When should I use Quantdb SDK?

Quantdb SDK fits situations like: business, Finance & HR work in your project.

How do I install Quantdb SDK in Claude Code?

Run `npx skills add qusong0627/QuantMind --skill quantdb-sdk -a claude-code`. Or copy the skill folder (skills/quantdb-sdk in qusong0627/QuantMind) into .claude/skills/quantdb-sdk in your project. Claude Code loads it when a task matches its description.

How do I install Quantdb SDK in Codex?

Run `npx skills add qusong0627/QuantMind --skill quantdb-sdk -a codex`. Or copy the skill folder (skills/quantdb-sdk in qusong0627/QuantMind) into .agents/skills/quantdb-sdk in your project. Codex loads it when a task matches its description.

Can I use Quantdb SDK in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add qusong0627/QuantMind --skill quantdb-sdk -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/quantdb-sdk, .gemini/skills/quantdb-sdk, .github/skills/quantdb-sdk and .opencode/skills/quantdb-sdk in your project.

What does Quantdb SDK need to run?

Going by SKILL.md and its folder, Quantdb SDK needs the command-line tools its instructions call (curl and python3) and credentials named QUANTDB_API_KEY. Our summary lists: Python 3; A credential in QUANTDB_API_KEY.

Does Quantdb SDK access the network?

SKILL.md contains no URLs. Its commands use curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Quantdb SDK safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Quantdb SDK use?

Quantdb SDK is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Quantdb SDK use?

About 2.6k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Quantdb SDK?

Skills that share tags, products or a category with Quantdb SDK: Technical Analyst (tradermonty/claude-trading-skills, 3k stars), Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars), Stock API (zhangxiangliang/stock-api, 2k stars) and Theme Detector (tradermonty/claude-trading-skills, 3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Quantdb SDK?

qusong0627 (a GitHub user) maintains it in qusong0627/QuantMind, which has 1,717 GitHub stars. The repository holds 27 skills in this directory. The repository was last updated on October 8, 2026.

Source: qusong0627/QuantMind on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.