Agent skill

Ifind Data

by LeoYeAI in LeoYeAI/openclaw-master-skills

同花顺 iFinD (51ifind.com) 金融数据查询。支持 A 股/基金/债券/期货/指数的实时行情、历史行情、财务指标、宏观经济数据等 18 个 API 接口。

MITAuto-check: notesBusiness, Finance & HR

Install Ifind Data

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill ifind-data -a claude-code

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

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills ifind-data --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/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ifind-data .claude/skills/ifind-data && 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
ifind-data
GitHub stars
2.2k
Token cost
~4.2k tokens
SKILL.md length
1,000 words
Files
9 (incl. scripts, references)
Skills in repo
972
Repo updated
First seen
Licence
MIT

At a glance

同花顺 iFinD (51ifind.com) 金融数据查询。支持 A 股/基金/债券/期货/指数的实时行情、历史行情、财务指标、宏观经济数据等 18 个 API 接口。

  • Works in 5 steps: 永远不要让用户去 skillpay.me 注册 — 用户不需要注册 → 余额不足时,直接把 payment_url 发给用户 — 告诉他们点击链接用… → user_id 由脚本自动生成 — 不要问用户要 → …
  • Tasks that involve REST APIs
  • SKILL.md covers Overview, 首次使用检查(AI Agent 必读), SkillPay 计费规则(AI Agent 必读) and 试用期提示(AI Agent 必读), plus 16 more sections
  • Runs Shell, Go and JavaScript scripts from its folder; needs IFIND_REFRESH_TOKEN

What it does

Ifind Data is an agent skill from LeoYeAI/openclaw-master-skills. 同花顺 iFinD (51ifind.com) 金融数据查询。支持 A 股/基金/债券/期货/指数的实时行情、历史行情、财务指标、宏观经济数据等 18 个 API 接口。 Chinese financial data query skill powered by THS iFinD (51ifind.com) API. Covers real-time quotes, historical data, financial indicators, macro economics, fund valuation, and more across 18 API endpoints for A-shares, funds, bonds, futures, and indices.

Its SKILL.md is about 4.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including scripts and reference files (for example `README.md`, `_meta.json` and `build.sh`).

It sits in Business, Finance & HR, covering REST APIs. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

When your agent uses it

  • Tasks that involve REST APIs

Example prompts

  • “/ifind-data”

Requirements

  • Node.js
  • A Bash shell
  • A credential in IFIND_REFRESH_TOKEN

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. 永远不要让用户去 skillpay.me 注册 — 用户不需要注册
  2. 余额不足时,直接把 payment_url 发给用户 — 告诉他们点击链接用 USDT 充值
  3. user_id 由脚本自动生成 — 不要问用户要
  4. 查余额是免费的 — 只有实际执行 API 查询时才扣费(0.0001 USDT/次)
  5. 用户充值后余额自动到账,可继续使用

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. 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

    Ships 2 files in scripts/ (Shell, Go and JavaScript), which the agent can run.

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

  • Network

    Links to these hosts (documentation or services it may open):

    • ft.10jqka.com.cn
    • quantapi.51ifind.com

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

  • Credentials

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

    • IFIND_REFRESH_TOKEN

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

Context cost

Ifind Data loads about 4.2k tokens when it runs, and up to ~21k if it reads all its reference files. Until then it costs about 88 tokens; SKILL.md has 1,000 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~88
When it runs · the whole SKILL.md, loaded when a task matches
~4.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~21k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:45
    H_TOKEN=.' ~/.openclaw/skills/ifind-data/.env 2>/dev/null && echo "ok" || echo "missing"
  • NoteMentions a .env fileSKILL.md:58
    提供的token/' ~/.openclaw/skills/ifind-data/.env

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); the scripts in this folder are not scanned.

SKILL.md

The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 1,000 words, ~4,164 tokens.

Download SKILL.mdSave it as .claude/skills/ifind-data/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.
name
ifind-data
description
同花顺 iFinD (51ifind.com) 金融数据查询。支持 A 股/基金/债券/期货/指数的实时行情、历史行情、财务指标、宏观经济数据等 18 个 API 接口。 Chinese financial data query skill powered by THS iFinD (51ifind.com) API. Covers real-time quotes, historical data, financial indicators, macro economics, fund valuation, and more across 18 API endpoints for A-shares, funds, bonds, futures, and indices.
metadata.author
sinabs
metadata.version
1.0.0

iFinD 金融数据查询 Skill

Overview

#APIURL 路径用途
1基础数据basic_data_service财务指标、基本面数据
2日期序列date_sequence按时间序列获取指标数据
3历史行情cmd_history_quotation日K/周K等历史行情
4高频序列high_frequency分钟级高频数据+技术指标
5实时行情real_time_quotation最新价、涨跌幅、成交量
6日内快照snap_shot逐笔/分钟级日内盘口快照
7经济数据库edb_service宏观经济指标(GDP、CPI等)
8专题报表data_poolREITs、龙虎榜等专题数据
9组合管理portfolio_manage组合新建/导入/交易/监控
10智能选股smart_stock_picking按条件筛选股票
11基金估值(分钟)fund_valuation基金实时分钟级估值
12基金估值(日)final_fund_valuation基金日终估值
13日期查询get_trade_dates查询交易日历
14日期偏移get_trade_dates基于基准日前推后推
15数据量查询get_data_volume查询账号已用数据量
16错误信息查询get_error_message查询错误码含义
17代码转换get_thscode证券代码转同花顺代码
18公告查询report_query上市公司公告检索下载

首次使用检查(AI Agent 必读)

每次调用 API 前,必须先检查 IFIND_REFRESH_TOKEN 是否已配置:

bash
grep -q 'IFIND_REFRESH_TOKEN=.' ~/.openclaw/skills/ifind-data/.env 2>/dev/null && echo "ok" || echo "missing"

如果返回 missing,停止执行,向用户提示:

使用 iFinD 金融数据查询需要你的 refresh_token。获取方式:

请把你的 refresh_token 发给我,我帮你配置好。

用户回复 token 后,静默写入配置,不要展示命令:

bash
sed -i 's/^IFIND_REFRESH_TOKEN=.*/IFIND_REFRESH_TOKEN=用户提供的token/' ~/.openclaw/skills/ifind-data/.env

写入后告诉用户「已配置好,正在为你查询...」,然后继续执行 API 调用。

SkillPay 计费规则(AI Agent 必读)

  1. 永远不要让用户去 skillpay.me 注册 — 用户不需要注册
  2. 余额不足时,直接把 payment_url 发给用户 — 告诉他们点击链接用 USDT 充值
  3. user_id 由脚本自动生成 — 不要问用户要
  4. 查余额是免费的 — 只有实际执行 API 查询时才扣费(0.0001 USDT/次)
  5. 用户充值后余额自动到账,可继续使用

试用期提示(AI Agent 必读)

脚本 stderr 中如果出现 [TRIAL] 开头的行,说明用户处于免费试用期。每次看到此标记时,在回复数据结果之后,必须附加如下提示:


🎁 您正在免费试用中,剩余 {trial_remaining_days} 天。试用期结束后按 0.0001 USDT/次计费(约 ¥0.0007/次),充值 1 USDT 可使用约 10000 次查询。

从 [TRIAL] 后的 JSON 中提取 trial_remaining_days 填入。不要省略这个提示,每次试用期调用都要显示。

调用方式

所有 API 通过 scripts/ifind-api 二进制调用:

bash
./scripts/ifind-api "<api_endpoint>" '<json_body>'
  • api_endpoint: 下方各 API 的路径名(如 real_time_quotation)
  • json_body: JSON 格式的请求参数

二进制自动处理:user_id 生成 → 计费验证 → iFinD Token 获取 → API 请求 → 返回结果。

日志排查:出问题时查看 .data/ifind.log,每次请求记录 endpoint、状态、耗时等信息,日志超过 1MB 自动轮转。


API 1: 基础数据

Endpoint: basic_data_service

参数:

key必须说明示例
codes是逗号分隔的证券代码"300033.SZ,600030.SH"
indipara是指标及参数数组见下方

indipara 格式:

json
[{
  "indicator": "ths_roe_stock",
  "indiparams": ["20241231"]
}]

示例:

json
{
  "codes": "300033.SZ,600030.SH",
  "indipara": [{
    "indicator": "ths_roe_stock",
    "indiparams": ["20241231"]
  }, {
    "indicator": "ths_roe_avg_by_ths_stock",
    "indiparams": ["20241231"]
  }]
}

指标名过多,推荐使用超级命令生成。常用:ths_roe_stock(ROE)、ths_eps_stock(EPS)、ths_pe_stock(PE)等。


API 2: 日期序列

Endpoint: date_sequence

参数:

key必须说明示例
codes是逗号分隔的证券代码"300033.SZ,600030.SH"
startdate是开始日期"2023-01-01"
enddate是结束日期"2024-12-31"
indipara是指标及参数数组同基础数据格式
functionpara否附加参数见下方

functionpara 选项:

名称key可选值默认
时间周期IntervalD/W/M/Q/S/YD
日期类型DaysTradedays/AlldaysTradedays
非交易间隔FillPrevious/BlankPrevious

示例:

json
{
  "codes": "300033.SZ,600030.SH",
  "startdate": "20230101",
  "enddate": "20241231",
  "functionpara": {"Days": "Alldays", "Fill": "Blank", "Interval": "Y"},
  "indipara": [{
    "indicator": "ths_total_equity_atoopc_stock",
    "indiparams": ["", "100"]
  }]
}

API 3: 历史行情

Endpoint: cmd_history_quotation

参数:

key必须说明示例
codes是逗号分隔的证券代码"300033.SZ,600030.SH"
indicators是逗号分隔的指标"open,close,volume"
startdate是开始日期"2024-01-01"
enddate是结束日期"2025-01-01"
functionpara否附加参数见下方

常用 indicators: preClose(前收盘价), open(开盘价), high(最高价), low(最低价), close(收盘价), avgPrice(均价), change(涨跌), changeRatio(涨跌幅), volume(成交量), amount(成交额), turnoverRatio(换手率), pe_ttm(市盈率TTM), pe(PE), pb(PB), ps(PS), pcf(PCF)

基金专用: netAssetValue(单位净值), adjustedNAV(复权单位净值), accumulatedNAV(累计单位净值)

functionpara 选项:

名称key可选值默认
时间周期IntervalD/W/M/Q/S/YD
复权方式CPS1-不复权 2-前复权 3-后复权1
非交易间隔FillPrevious/Blank/数值/OmitPrevious
货币CurrencyMHB(美元)/GHB(港元)/RMB/YSHB(原始)YSHB

示例:

json
{
  "codes": "300033.SZ,600030.SH",
  "indicators": "open,close,volume",
  "startdate": "2024-08-25",
  "enddate": "2025-08-25",
  "functionpara": {"Interval": "W", "CPS": "3", "Currency": "RMB", "Fill": "Blank"}
}

API 4: 高频序列

Endpoint: high_frequency

参数:

key必须说明示例
codes是逗号分隔的证券代码"300033.SZ"
indicators是逗号分隔的指标"open,high,low,close"
starttime是开始时间"2024-01-01 09:15:00"
endtime是结束时间"2024-01-01 15:15:00"
functionpara否附加参数见下方

常用 indicators: open, high, low, close, avgPrice, volume, amount, change, changeRatio, turnoverRatio, sellVolume(内盘), buyVolume(外盘)

技术指标: MA, MACD, KDJ, RSI, BOLL, CCI, OBV, ATR 等(需在 functionpara.calculate 中配置参数)

资金流向: large_amt_timeline(主力净流入), active_buy_large_volume(主动买入特大单量) 等

functionpara 选项:

名称key可选值默认
时间周期Interval1/3/5/10/15/30/60(分钟)1
非交易间隔FillPrevious/Blank/数值/OriginalOriginal
复权方式CPSno/forward3/backward1 等no
技术指标参数calculate各指标对应参数-

技术指标 calculate 示例:

json
{
  "Interval": "1",
  "calculate": {
    "MACD": "12,26,9,MACD",
    "KDJ": "9,3,3,K"
  }
}

API 5: 实时行情

Endpoint: real_time_quotation

参数:

key必须说明示例
codes是逗号分隔的证券代码"300033.SZ,600000.SH"
indicators是逗号分隔的指标"open,high,low,latest"

常用 indicators:

通用: tradeDate, tradeTime, preClose, open, high, low, latest(最新价), change, changeRatio, amount, volume, turnoverRatio

股票: totalCapital(总市值), mv(流通市值), pe_ttm, pb, vol_ratio(量比), committee(委比), swing(振幅), bid1bid10(买价), ask1ask10(卖价), bidSize1bidSize10, askSize1askSize10

资金流向: mainNetInflow(主力净流入), largeNetInflow(超大单净流入), bigNetInflow(大单净流入)

示例:

json
{
  "codes": "300033.SZ,600000.SH",
  "indicators": "open,high,low,latest,changeRatio,volume,amount"
}

API 6: 日内快照

Endpoint: snap_shot

参数:

key必须说明示例
codes是逗号分隔的证券代码"300033.SZ"
indicators是逗号分隔的指标"open,high,low,latest"
starttime是开始时间(同一天)"2025-01-06 09:30:00"
endtime是结束时间(同一天)"2025-01-06 15:00:00"

注意:起始和结束日期必须是同一天。

常用 indicators: tradeDate, tradeTime, preClose, open, high, low, latest, amt(成交额), vol(成交量), amount(累计成交额), volume(累计成交量), bid1bid10, ask1ask10, bidSize1bidSize10, askSize1askSize10


API 7: 经济数据库 (EDB)

Endpoint: edb_service

参数:

key必须说明示例
indicators是逗号分隔的EDB指标代码"M001620326,M002822183"
startdate是开始日期"2018-01-01"
enddate是结束日期"2024-12-31"
functionpara否更新时间筛选见下方

EDB 指标代码需通过超级命令查询,如 GDP、CPI、PMI 等宏观指标。

示例:

json
{
  "indicators": "M001620326,M002822183",
  "startdate": "2018-01-01",
  "enddate": "2024-12-31"
}

API 8: 专题报表

Endpoint: data_pool

参数:

key必须说明示例
reportname是报表编码"p03341"
functionpara是报表参数见示例
outputpara是输出字段控制"p03341_f001:Y,p03341_f002:Y"

报表编码需通过超级命令查看。

示例:

json
{
  "reportname": "p03341",
  "functionpara": {
    "sdate": "20210421",
    "edate": "20241231",
    "xmzt": "全部",
    "jcsslx": "全部",
    "jys": "全部"
  },
  "outputpara": "p03341_f001:Y,p03341_f002:Y"
}

API 9: 组合管理

Endpoint: portfolio_manage

支持多个子功能,通过 func 字段区分:

9.1 组合新建 (func: "newportf")
json
{
  "func": "newportf",
  "name": "策略组合",
  "group": 11580,
  "performbm": {"code": "000300.SH", "name": "沪深300"},
  "tday": "国内交易所",
  "currency": "CNY"
}
9.2 模板导入 (func: "importf")
json
{
  "func": "importf",
  "portfid": 161390,
  "content": [
    ["交易日期","证券代码","业务类型","数量","价格","成交金额","费用","证券类型"],
    ["2020-03-30","CNY","现金存入","","",10000000,"",""],
    ["2020-04-01","600000.SH","买入",100,10.09,1009,5.225,"A股"]
  ]
}
Show full SKILL.md (399 more words)Show less
9.3 现金存取 (func: "cashacs")
json
{
  "func": "cashacs",
  "portfid": 161390,
  "functionpara": {"acesscls": "101", "amount": "10000"}
}

acesscls: 101=存入不计收益, 102=取出不计收益

9.4 普通交易 (func: "deal")
json
{
  "func": "deal",
  "portfid": 161390,
  "functionpara": {
    "thscode": "300033", "direct": "buy", "codeName": "同花顺",
    "marketCode": "212100", "securityType": "001001",
    "price": 78.7, "volume": 100, "currency": "CNY",
    "fee": "0", "feep": 0, "rate": "1.00"
  }
}
9.5 交易流水 (func: "query_exchange_records")
json
{
  "func": "query_exchange_records",
  "portfid": 161390,
  "indicators": "date,code,name,dealPrice,dealNumber,realPrice,businessName",
  "startdate": "2024-10-01",
  "enddate": "2024-10-07"
}

最大时间区间为 7 天。

9.6 组合监控 (func: "query_overview")
json
{
  "func": "query_overview",
  "portfid": 161390,
  "indicators": "category,thscode,stockName,newPrice,increase,increaseRate,number,marketValue,weight,floatProfit,floatProfitRate"
}
9.7 持仓分析 (func: "query_positions")
json
{
  "func": "query_positions",
  "portfid": 161390,
  "indicators": "categoryName,securityName,thsCode,weight,marketPrice,cost,wavepl,cumpl,price,increaseRate,amount,costPrice",
  "date": "2024-10-19",
  "functionpara": {"penetrate": "false"}
}
9.8 绩效指标 (func: "query_perform")
json
{
  "func": "query_perform",
  "portfid": 161390,
  "performbm": "000300",
  "startdate": "2020-06-02",
  "enddate": "2024-10-20",
  "functionpara": {"pfclass": "utnv", "cycle": "day"}
}

pfclass: perform=业绩表现, nasset=净资产, utnv=组合净值

9.9 风险指标 (func: "query_risk_profits")
json
{
  "func": "query_risk_profits",
  "portfid": 161390,
  "indicators": ["alpha,yield,annual_yield,sharpe_ratio,max_drawdown,beta,annual_volatility"],
  "startdate": "2023-10-19",
  "enddate": "2024-10-19",
  "functionpara": {"cycle": "day", "benchmark": "000300"}
}

API 10: 智能选股

Endpoint: smart_stock_picking

参数:

key必须说明示例
searchstring是搜索关键词"个股热度"
searchtype是搜索类别"stock"

示例:

json
{
  "searchstring": "个股热度",
  "searchtype": "stock"
}

API 11: 基金实时估值(分钟)

Endpoint: fund_valuation

参数:

key必须说明示例
codes是逗号分隔的基金代码"000001.OF,000003.OF"
functionpara是参数见下方
outputpara是输出字段"changeRatioValuation:Y,realTimeValuation:Y"

functionpara:

key说明
onlyLastest1=仅最新估值, 0=时间区间估值
beginTime开始时间(onlyLastest=0 时需要)
endTime结束时间(onlyLastest=0 时需要)

示例:

json
{
  "codes": "000001.OF,000003.OF",
  "functionpara": {"onlyLastest": "1"},
  "outputpara": "changeRatioValuation:Y,realTimeValuation:Y,Deviation30TDays:Y"
}

API 12: 基金实时估值(日)

Endpoint: final_fund_valuation

参数:

key必须说明示例
codes是分号分隔的基金代码"000001.OF;000003.OF"
functionpara是beginDate + endDate见下方
outputpara是输出字段"finalValuation:Y,netAssetValue:Y,deviation:Y"

示例:

json
{
  "codes": "000001.OF;000003.OF",
  "functionpara": {"beginDate": "2024-06-01", "endDate": "2024-12-31"},
  "outputpara": "finalValuation:Y,netAssetValue:Y,deviation:Y"
}

API 13: 日期查询

Endpoint: get_trade_dates

参数:

key必须说明示例
marketcode是交易所代码"212001"
startdate是开始日期"2025-01-01"
enddate是结束日期"2025-12-31"
functionpara是查询参数见下方

常用 marketcode: 212001(上交所), 212100(深交所), 212200(港交所)

functionpara:

key说明值
mode模式"1"=查询区间日期, "2"=查询日期数目
dateType类型"0"=交易日, "1"=日历日
period周期D/W/M/Q/S/Y
dateFormat格式"0"=YYYY-MM-DD, "1"=YYYY/MM/DD, "2"=YYYYMMDD

示例:

json
{
  "marketcode": "212001",
  "functionpara": {"mode": "1", "dateType": "0", "period": "D", "dateFormat": "0"},
  "startdate": "2025-01-01",
  "enddate": "2025-12-31"
}

API 14: 日期偏移

Endpoint: get_trade_dates

参数:

key必须说明示例
marketcode是交易所代码"212001"
startdate是基准日期"2025-03-06"
functionpara是偏移参数见下方

functionpara:

key说明值
dateType类型"0"=交易日, "1"=日历日
period周期D/W/M/Q/S/Y
offset偏移"-5"=前推5, "5"=后推5
dateFormat格式"0"/"1"/"2"
output输出"sequencedate"=所有日期, "singledate"=单个

示例:

json
{
  "marketcode": "212001",
  "functionpara": {"dateType": "0", "period": "D", "offset": "-5", "dateFormat": "0", "output": "sequencedate"},
  "startdate": "2025-03-06"
}

API 15: 数据量查询

Endpoint: get_data_volume

无需 JSON body,仅需 token 访问即可。

bash
./scripts/ifind-api "get_data_volume" '{}'

API 16: 错误信息查询

Endpoint: get_error_message

json
{"errorcode": -1}

API 17: 代码转换

Endpoint: get_thscode

参数:

key必须说明示例
seccode是行情代码"300033"
functionpara是转换参数见下方

functionpara:

key说明
modeseccode=按代码查, secname=按名称查
sectype证券类型(空字符串=全部)
market市场代码(空字符串=全部)
tradestatus0=全部, 1=交易中, 2=已退市
isexact0=模糊, 1=精确

示例:

json
{
  "seccode": "300033",
  "functionpara": {"mode": "seccode", "sectype": "", "market": "", "tradestatus": "0", "isexact": "0"}
}

API 18: 公告查询

Endpoint: report_query

参数:

key必须说明示例
codes是逗号分隔的证券代码"300033.SZ,600000.SH"
functionpara否筛选参数见下方
outputpara是输出字段见下方

functionpara 可选项:

key说明
reportType公告类型: 903=全部, 901=年报 等
beginrDate公告开始日期
endrDate公告截止日期
keyWord标题关键词

outputpara: "reportDate:Y,thscode:Y,secName:Y,ctime:Y,reportTitle:Y,pdfURL:Y,seq:Y"

示例:

json
{
  "codes": "300033.SZ,600000.SH",
  "functionpara": {"reportType": "901", "beginrDate": "2024-01-01", "endrDate": "2025-03-06"},
  "outputpara": "reportDate:Y,thscode:Y,secName:Y,ctime:Y,reportTitle:Y,pdfURL:Y,seq:Y"
}

返回的 pdfURL 可用于下载公告原文。


通用响应格式

所有 API 返回 JSON,通用字段:

字段说明
errorcode错误码,0=正常
errmsg错误信息
tables数据主体
perf耗时(ms)
dataVol数据量消耗

常见错误码

错误码说明处理建议
-1010token 已失效重新获取 access_token
-1302access_token 过期脚本自动重试
-1303绑定IP超过20个减少使用设备
-4001数据为空检查代码/日期范围
-4206错误的同花顺代码用代码转换API查正确代码
-4304~4306单次数据量超限缩小时间范围或代码数量
-4400每分钟超过600次降低请求频率

完整错误码请参考 references/iFinD HTTP API 用户手册.txt。


SkillPay 计费说明

3 天免费试用
  • 新用户首次调用自动开始 3 天免费试用期
  • 试用期内无限制使用,不扣费
  • 返回结果中包含 trial: true 和 trial_remaining_days 字段
  • AI Agent 可提示用户:"您正在试用期内,剩余 X 天免费使用"
试用期结束后
  • 每次 API 调用扣费 0.0001 USDT
  • 余额不足时脚本返回 JSON 包含 payment_url 字段
  • AI Agent 应将充值链接直接发送给用户,告知"试用期已结束,点击链接用 USDT 充值即可继续使用"
  • 用户无需注册任何账号,点击链接 → 连钱包 → 支付 USDT(BNB Chain)→ 余额自动到账
  • 充值后可立即继续使用,无需等待

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

Files

SKILL.md and 8 other files (scripts, references) in skills/ifind-data of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • README.md
  • _meta.json
  • build.sh
  • references/iFinD HTTP API 用户手册.txt
  • scripts/ifind-api.sh
  • scripts/ifind-api/main.go
  • worker/index.js
  • worker/wrangler.toml

Open the folder on GitHubat commit e5199b5

Compare with similar skills

Ifind Data 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.

Ifind Data compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ifind Data this skillLeoYeAI/openclaw-master-skills2.2k—~4.2kAutomated safety check: NotesMIT
Fintel Datahimself65/finance-skills3.4k—~2.2kAutomated safety check: NotesMIT
Searching Clinicaltrialsmaziyarpanahi/openmed5.5k—~2kAutomated safety check: PassApache-2.0
Trading Manifoldalsk1992/CloddsBot2.9k—~2.4kAutomated safety check: PassMIT
Lifiaiskillstore/marketplace4302 repos~5kAutomated safety check: PassNone
Binance Datatoollostleaf/binance-datatool148—~2.5kAutomated safety check: NotesBSD-3-Clause

Similar skills

  • Fintel Data

    himself65/finance-skills

    Query Fintel (fintel.io) institutional market data through its REST API or official MCP server.

    3.4k GitHub stars~2.2k tokensUpdated 3 days ago
    Business, Finance & HRAuto-check: notes
  • Searching Clinicaltrials

    maziyarpanahi/openmed

    Searches ClinicalTrials.gov for studies by condition, intervention, and recruitment status using the modern v2 REST API with cursor (pageToken) pagination.

    5.5k GitHub stars~2k tokensUpdated today
    Business, Finance & HRAuto-check passed
  • Trading Manifold

    alsk1992/CloddsBot

    Place bets on Manifold Markets using their REST API. An agent skill from alsk1992/CloddsBot.

    2.9k GitHub stars~2.4k tokensUpdated 5 days ago
    Business, Finance & HRAuto-check passed
  • Lifi

    aiskillstore/marketplace

    Use the LI.FI REST API for cross-chain and same-chain token swaps, bridging, DeFi deposits through Composer, yield discovery and position tracking through Earn, and solver-based Intents.

    430 GitHub starsUsed in 2 repos~5k tokens
    Business, Finance & HRAuto-check passed
  • Binance Datatool

    lostleaf/binance-datatool

    Manage Binance historical market data from data.binance.vision using the binance-datatool CLI.

    148 GitHub stars~2.5k tokensUpdated 5 mo ago
    Backend & APIsAuto-check: notes
  • Trust Wallet API

    trustwallet/tw-agent-skills

    Trust Wallet API for crypto data — token search, prices, trending tokens, swap quotes, market data, security checks, address validation, asset info, and coin status across 100+ blockchains.

    104 GitHub stars~424 tokensUpdated 3 mo ago
    Backend & APIsAuto-check passed

More from LeoYeAI/openclaw-master-skills

All 972 skills in this repo
  • DevOps Pipeline Management

    LeoYeAI/openclaw-master-skills

    Manages pipelines on a DevOps quality and efficiency platform through its OpenAPI: list workspaces and templates, create, update, run and cancel pipelines, and read run records.

    2.2k GitHub stars~4.2k tokensUpdated 2 mo ago
    Auto-check: notes
  • Feishu Document Collaboration

    LeoYeAI/openclaw-master-skills

    Patches OpenClaw's Feishu extension so an edited document triggers an isolated agent session that reads the doc and replies inline, turning it into a live chat space.

    2.2k GitHub stars~2k tokensUpdated 2 mo ago
    Auto-check passed
  • Files Memory System

    LeoYeAI/openclaw-master-skills

    Multi-context memory management system for OpenClaw agents with group-isolated storage, global shared memory, workspace organization, and group-specific skills isolation.

    2.2k GitHub stars~3.8k tokensUpdated 2 mo ago
    Auto-check passed
  • GEO-Claw AI Visibility Agent

    LeoYeAI/openclaw-master-skills

    Runs a brand's AI-search visibility work end to end: diagnosing how AI platforms represent it, repositioning it, producing AI-optimized content and monitoring ongoing mentions.

    2.2k GitHub stars~4.7k tokensUpdated 2 mo ago
    Auto-check passed
  • Google Workspace CLI

    LeoYeAI/openclaw-master-skills

    Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.

    2.2k GitHub stars~2.6k tokensUpdated 2 mo ago
    Auto-check: notes
  • HealthFit Health Advisors

    LeoYeAI/openclaw-master-skills

    Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.

    2.2k GitHub stars~4.4k tokensUpdated 2 mo ago
    Auto-check passed

Questions about Ifind Data

What does Ifind Data do?

同花顺 iFinD (51ifind.com) 金融数据查询。支持 A 股/基金/债券/期货/指数的实时行情、历史行情、财务指标、宏观经济数据等 18 个 API 接口。. Ifind Data is an agent skill from LeoYeAI/openclaw-master-skills.com) API.

When should I use Ifind Data?

Ifind Data fits situations like: tasks that involve REST APIs.

How do I install Ifind Data in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill ifind-data -a claude-code`. Or copy the skill folder (skills/ifind-data in LeoYeAI/openclaw-master-skills) into .claude/skills/ifind-data in your project. Claude Code loads it when a task matches its description.

How do I install Ifind Data in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill ifind-data -a codex`. Or copy the skill folder (skills/ifind-data in LeoYeAI/openclaw-master-skills) into .agents/skills/ifind-data in your project. Codex loads it when a task matches its description.

Can I use Ifind Data 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 LeoYeAI/openclaw-master-skills --skill ifind-data -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ifind-data, .gemini/skills/ifind-data, .github/skills/ifind-data and .opencode/skills/ifind-data in your project.

What does Ifind Data need to run?

Going by SKILL.md and its folder, Ifind Data needs a shell, Go and JavaScript for the scripts in its folder and credentials named IFIND_REFRESH_TOKEN. Our summary lists: Node.js; A Bash shell; A credential in IFIND_REFRESH_TOKEN.

Does Ifind Data access the network?

SKILL.md names 2 domains. As links in the text: ft.10jqka.com.cn and quantapi.51ifind.com. This is read from the text; nothing was executed.

Is Ifind Data safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Ifind Data use?

Ifind Data is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ifind Data use?

About 4.2k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 17k tokens, read only when the agent opens those files.

What are the alternatives to Ifind Data?

Skills that share tags, products or a category with Ifind Data: Fintel Data (himself65/finance-skills, 3.4k stars), Searching Clinicaltrials (maziyarpanahi/openmed, 5.5k stars), Trading Manifold (alsk1992/CloddsBot, 2.9k stars) and Lifi (aiskillstore/marketplace, 430 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ifind Data?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,159 GitHub stars. The repository holds 972 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.