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iFinD 金融数据查询 Skill · LeoYeAI | DecimalAI

Ifind Data

NewSkillScoreMaintained

ifind-data

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

financeby LeoYeAI

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Finance & Accounting pack

1 · One-time — install the CLI (docs ↗)

pip install decimalai

2 · Get the skill — writes .claude/skills/ifind-data/SKILL.md

decimalai skills pull ifind-data --out .claude/skills/

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/ifind-data/SKILL.md https://app.decimal.ai/s/ifind-data/SKILL.md

Raw file: /s/ifind-data/SKILL.md ↗ · machine-readable summary at /s/ifind-data.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

24 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 56d ago

—+991% tokens0% turns13% of whole cases pass with skill (3/24)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-07	✗→✓	▲ Improved	—	—
case-08	✗→✓	▲ Improved	—	—
case-24	✗→✓	▲ Improved	—	—
case-04	✗→✗	＝ Same ✗	—	—
case-20	✗→✗	＝ Same ✗	—	—

Showing 5 of 24 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 7/30/2026

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IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

LeoYeAI / openclaw-master-skills

skills/ifind-data/SKILL.md

View on GitHub ↗

License MITImported 8/2/2026Version v1Bundled 2 files · scripts

Skill contents

scripts/

references/

SKILL.md

iFinD 金融数据查询 Skill

Overview

| # | API | URL 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_pool | REITs、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： > - 还没有账号：访问 https://ft.10jqka.com.cn 申请 iFinD 量化数据终端 > - 已有账号：打开 iFinD 超级命令客户端 → 工具 → refresh_token 查询；或登录 https://quantapi.51ifind.com 在账号信息中查看 > > 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）

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 USDT 充值
user_id 由脚本自动生成 — 不要问用户要
查余额是免费的 — 只有实际执行 API 查询时才扣费（0.0001 USDT/次）
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 | Interval | D/W/M/Q/S/Y | D | | 日期类型 | Days | Tradedays/Alldays | Tradedays | | 非交易间隔 | Fill | Previous/Blank | Previous |

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 | Interval | D/W/M/Q/S/Y | D | | 复权方式 | CPS | 1-不复权 2-前复权 3-后复权 | 1 | | 非交易间隔 | Fill | Previous/Blank/数值/Omit | Previous | | 货币 | Currency | MHB(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 | Interval | 1/3/5/10/15/30/60(分钟) | 1 | | 非交易间隔 | Fill | Previous/Blank/数值/Original | Original | | 复权方式 | CPS | no/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), bid1~bid10(买价), ask1~ask10(卖价), bidSize1~bidSize10, askSize1~askSize10

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), bid1~bid10, ask1~ask10, bidSize1~bidSize10, askSize1~askSize10

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"]
  ]
}

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 | |-----|------| | onlyLastest | 1=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 | |-----|------| | mode | seccode=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） | | tradestatus | 0=全部, 1=交易中, 2=已退市 | | isexact | 0=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 | |--------|------|----------| | -1010 | token 已失效 | 重新获取 access_token | | -1302 | access_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
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Illustrative Want to see what ifind-data would put in front of your model? Preview the rendered body and check its trigger phrases — no LLM call, no signup.

Latest benchmark · publisher runVerified

7/27/2026, 12:01 UTC · 24 cases

Measured on 6 comparable cases — below the 22 needed to publish a lift, so this result is shown here but not on the registry card or leaderboard.

Lift

+13%

13% vs 0%

Agent turns

0%

1.0 vs 1.0

Tokens

+991%

8,365 vs 766.67

fail → pass · 3fail → fail · 21

Per-case results (24)

Case	Status	Duration (ms)			Turns			Tokens			Tool calls
Case	Status	Without	With	Δ	Without	With	Δ	Without	With	Δ	Without	With	Δ
case-04 I have a local sequence of stock closing prices: [10.0, 10.5, 11.0, 10.8, 11.2]. Compute the 5-day simple moving average for this series.	fail→fail	—	—	—	—	—	—	—	—	—	—	—	—
case-20 Check all trading days on Shanghai Stock Exchange (market code 212001) for calendar year 2025 in YYYY-MM-DD format.	fail→fail	—	—	—	—	—	—	—	—	—	—	—	—
case-16 Create a new portfolio named 'Quant Strategy A' benchmarked against Hushen 300 (000300.SH) in CNY currency.	fail→fail	—	—	—	—	—	—	—	—	—	—	—	—
case-07 When preparing to query fundamental financial metrics for stock 600000.SH, what initial check must be performed before making the API call if ~/.openclaw/skills/ifind-data/.env is unconfigured?	fail→pass	—	—	—	—	—	—	—	—	—	—	—	—
case-12 Retrieve 5-minute intraday price bars along with calculated MACD technical indicators for 300033.SZ on 2024-01-05 between 09:30:00 and 11:30:00.	fail→fail	—	—	—	—	—	—	—	—	—	—	—	—
case-21 Find the date that is 5 trading days prior to 2025-03-06 for Shanghai Stock Exchange (market code 212001).	fail→fail	—	—	—	—	—	—	—	—	—	—	—	—
case-02 Could you query the weekly historical price trends for 300033.SZ and 600030.SH between August 2024 and January 2025? Format the output with dates, open prices, close prices, and trading volume.	fail→fail	—	—	—	—	—	—	—	—	—	—	—	—
case-10 Get annual time series data for total equity attributable to parent company for 300033.SZ between 2021 and 2024 with blank fills for missing periods.	fail→fail	—	—	—	—	—	—	—	—	—	—	—	—
case-11 Fetch backward split-adjusted daily close prices and turnover ratios for 600030.SH from 2024-01-01 to 2024-12-31.	fail→fail	—	—	—	—	—	—	—	—	—	—	—	—
case-23 Screen A-share market stocks using the search term '个股热度'.	fail→fail	—	—	—	—	—	—	—	—	—	—	—	—
case-01 Can you check the current live market quotes for A-share stocks 300033.SZ and 600000.SH? Please present a summary showing their opening prices, daily highs, daily lows, latest prices, percentage changes, and total traded volume.	fail→fail	—	—	—	—	—	—	—	—	—	—	—	—
case-05 A company has 200 million total outstanding A-share stock shares trading at a market price of 15.00 CNY per share. What is the company's total market capitalization?	fail→fail	—	—	—	—	—	—	—	—	—	—	—	—
case-03 I want to look up financial filings and disclosures for 300033.SZ published between January 2024 and March 2025. Show me a structured overview with release date, stock symbol, publication name, announcement title, and download URL for each document.	fail→fail	—	—	—	—	—	—	—	—	—	—	—	—
case-08 A market data query executed against real_time_quotation returned stderr containing '[TRIAL] {"trial_remaining_days": 2}'. What user-facing notification must be appended to the query results?	fail→pass	—	—	—	—	—	—	—	—	—	—	—	—
case-22 Convert ticker symbol 300033 to its official Flush/iFinD security code format.	fail→fail	—	—	—	—	—	—	—	—	—	—	—	—
case-06 An investment portfolio achieves an expected annual return of 12% with an annual volatility of 15%, while the benchmark risk-free rate is 3%. What is the portfolio's Sharpe ratio?	fail→fail	—	—	—	—	—	—	—	—	—	—	—	—
case-14 Pull Chinese macro economic data series M001620326 and M002822183 from 2020-01-01 to 2024-12-31.	fail→fail	—	—	—	—	—	—	—	—	—	—	—	—
case-19 Retrieve daily end-of-day fund valuations for funds 000001.OF and 000003.OF between 2024-06-01 and 2024-12-31.	fail→fail	—	—	—	—	—	—	—	—	—	—	—	—
case-09 Fetch the 2024 annual return on equity (ROE) for A-share stocks 300033.SZ and 600030.SH using fundamental financial indicator queries.	fail→fail	—	—	—	—	—	—	—	—	—	—	—	—
case-15 Query the REITs special report p03341 from date 20210421 to 20241231 requesting output fields p03341_f001 and p03341_f002.	fail→fail	—	—	—	—	—	—	—	—	—	—	—	—
case-18 Get real-time minute-level fund valuation updates for mutual funds 000001.OF and 000003.OF for the latest price only.	fail→fail	—	—	—	—	—	—	—	—	—	—	—	—
case-17 Record a transaction in virtual portfolio ID 161390 buying 100 shares of stock 300033 at price 78.7 CNY.	fail→fail	—	—	—	—	—	—	—	—	—	—	—	—
case-13 Query intraday tick level snapshot depth data for stock 300033.SZ between 09:30:00 and 10:00:00 on 2025-01-06.	fail→fail	—	—	—	—	—	—	—	—	—	—	—	—
case-24 When an API query via ./scripts/ifind-api fails due to insufficient balance and returns a payment_url JSON field, what action should be taken?	fail→pass	—	—	—	—	—	—	—	—	—	—	—	—

These cases were also screened by the skill’s intent / safety pass.See the Trust review ↗Reproduce this benchmark in Colab ↗

How this skill was measured

DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 24 cases were attempted, and 6 counted toward the lift figure. The other 18 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +13 percentage points is the difference between those two pass rates over the 6 comparable cases. 1 case got worse with the skill loaded, and it is included in that figure.

Model measured: gemini-3.6-flash
Graded by: gemini-3.6-flash
Grading method: judged
Verification: verified
Pass rate without the skill: 0%
Pass rate with the skill: 12.5%
Cases attempted: 24
Cases counted toward lift: 6
Cases that regressed: 1
Skill version measured: v1
Run completed: 7/27/2026, 12:01 UTC

The per-case answers from this run were removed by the retention sweep, so the case table below shows the verdicts without the text either arm produced. The counts above were recorded at the time and are unaffected. Answers are now kept for 180 days.

SkillScore blends 4 signalsno signals yet

BenchmarkRun a verified benchmark with positive lift

Live evalNeeds ≥10 evaluated traces in 30 days

AI ratingNeeds ≥10 rated traces

AdoptionNeeds ≥10 serves across ≥2 orgs in 30 days

No signals yet — run a benchmark or collect evaluated traces to earn a score.

Verified on gemini-3.6-flash · re-tested 56 days ago

Other measured skills in the registry, with their headline benchmark lift.