Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add FTShare-Lab/FTShare-skill --skill futures-minutesgit clone --depth 1 https://github.com/FTShare-Lab/FTShare-skillWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ftshare-lab/ftshare-skill/futures-minutes)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/futures-minutes"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/futures-minutes/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/futures-minutes"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/futures-minutes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00092 | $0.01674 |
| Opus 5.5 | $0.00037 | $0.00670 |
| Sonnet 5.5 | $0.00018 | $0.00335 |
| Haiku 4.5 | $0.00009 | $0.00167 |
Grade A, and why
futures-minutes scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
期货历史分钟K线
1. 接口描述
| 项目 | 说明 |
|---|---|
| 接口名称 | 期货历史分钟K线(futures_minutes) |
| 外部接口 | GET /api/v2/market/data/futures_minutes |
| 请求方式 | GET(query 参数,symbols 以重复参数发送) |
| 适用场景 | 获取单个或批量期货合约的历史分钟 K 线;同一路径通过 symbol / symbols 区分查询形式 |
| 数据范围 | 历史 1 分钟原始 K 线,可聚合为 1、5、15、30、60 分钟 K 线;不返回实时分钟数据 |
| 单次限量 | 单合约查询 limit 默认 500,范围 1~1000;批量查询支持 1~20 个合约;时间跨度不超过 3 个自然日(含首尾) |
2. 请求参数
| 参数名 | 类型 | 是否必填 | 描述 | 取值示例 | 备注 |
|---|---|---|---|---|---|
| symbol | string | 二选一 | 单个期货合约代码 | A2611.DCE | 与 symbols 不能同时传 |
| symbols | string[] | 二选一 | 1~20 个合约代码,逗号分隔传给 CLI | A2611.DCE,CU2611.SHF | 接口侧以重复参数发送 |
| interval | string | 否 | 分钟周期 | 5min | 1min/5min/15min/30min/60min;兼容 1m/5m/15m/30m/1h;默认 1min |
| start | int | 是 | 起始时间戳(毫秒) | 1791475200000 | 闭区间;必须与 end 同时传入 |
| end | int | 是 | 结束时间戳(毫秒) | 1791647999000 | 闭区间;与 start 跨度不超过 3 个自然日 |
| limit | int | 否 | 每个合约返回的最新 K 线条数 | 5 | 默认 500,范围 1~1000 |
3. 响应说明
外层固定为 code(成功 200)/ message(成功 success)/ data。data 结构随查询形式变化:
- 单合约查询(
--symbol):data为对象{items, total};total为查询范围内符合条件的原始分钟记录数,不受limit截断影响,不一定等于items条数。 - 批量查询(
--symbols):data.items为分组对象数组,每项含symbol(请求中的合约代码)、items(该合约符合条件且经limit截断后的分钟 K 线列表)、total(该合约符合条件的记录总数,不受limit截断影响)。
真机验证:limit=3 时单合约 items 为 3 条而 total 为 73;批量 limit=1 时每组 items 为 1 条而 total 为 73/110。limit 只截断 items 条数,不改变 total。
每根分钟 K 线字段:
| 字段名 | 类型 | 说明 |
|---|---|---|
| bar_interval | string | 返回周期,例如 5min |
| symbol | string | 去除交易所后缀并转小写后的合约代码 |
| variety | string | 期货品种标识 |
| exchange | string | 交易所标识 |
| datetime | int | K 线时间戳(毫秒) |
| trade_date | int | 交易日 YYYYMMDD |
| open / high / low / close | number | 开盘、最高、最低、收盘价格 |
| volume | int | 成交量 |
| amount | number | 成交额 |
| vwap | number | 成交量加权均价 |
| open_interest | number | 持仓量 |
| pre_settlement_price | number | 昨日结算价 |
| settlement_price | number | 结算价;未结算时可能为 0 |
| high_limit_price | number | 涨停价 |
| low_limit_price | number | 跌停价 |
| pre_close_price | number | 昨收价 |
| updated_at | int | 数据更新时间戳(毫秒) |
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 82 lines · 92 tokens per session scan A 07361f312aea
futures-minutes is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (65 stars, last pushed 2d ago), licensed MIT. It adds 92 tokens to every session and 1,674 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-15.
Other skills, from other repositories
tickdb-market-data
A real-time market-data API for foreign exchange, metals, indexes, stocks, and cryptocurrencies. An API is a service that software can call to request data.
defeatbeta-earnings-analysis
Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage. Fast-turnaround format focusing on beat/miss analysis, key metrics, updated estimates, and revised thesis. Includes 1-3 summary tables and 8-12 charts. Use when…
defeatbeta-earnings-preview
Build pre-earnings analysis with normalized baselines, weighted decision models, company-specific veto gates, scenario frameworks, catalysts, historical reactions, and options-implied moves. Use before a company reports quarterly earnings to prepare positioning notes or bilingual three-page PDF reports.
defeatbeta-analyst
Professional financial analysis using 60+ market data APIs. Use for: company fundamentals (revenue, margins, EPS, balance sheet), valuation (P/E, P/B, P/S, PEG, DCF, intrinsic value), profitability (ROE, ROA, ROIC), growth trends (YoY revenue/earnings/FCF), earnings transcripts (key data, changes, guidance), industry…
defeatbeta-earnings-key-data
Run one of three traceable earnings-call transcript templates through the DefeatBeta MCP tools: (1) extract current-quarter results plus next-quarter and full-year guidance, (2) extract factual QoQ or YoY financial-metric change sentences, or (3) extract numerical forward-looking forecast sentences with…
sprr
Single PR reviewer for awesome-quant. Use when the user asks to review, validate, comment on, label, close, or merge one specific pull request that adds README.md entries. Triggers include "sprr", "review PR", "check PR", and "validate contribution".