Tushare Data
zillionare/zillionare
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。
回测中心 — 快速回测、专家模式、回测历史、策略对比、参数优化、策略管理、高级分析。在 QuantBot / Claude Code 中运行 Qlib 回测、对比策略、优化参数、分析回测结果、管理策略时使用。触发词:回测、回测中心、运行回测、策略对比、参数优化、回测历史、专家模式、高级分析、模型回测、推理回测
$ npx skills add qusong0627/QuantMind --skill backtest-center -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install qusong0627/QuantMind backtest-center --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/qusong0627/QuantMind.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/backtest-center .claude/skills/backtest-center && rm -rf skills-srcUse ~/.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/
Install the "backtest-center" agent skill from https://github.com/qusong0627/QuantMind/tree/master/skills/backtest-center into .claude/skills/backtest-center/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "backtest-center", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/qusong0627/QuantMind/tree/master/skills/backtest-centerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add qusong0627/QuantMind --skill backtest-center -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install qusong0627/QuantMind backtest-center --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/qusong0627/QuantMind.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/backtest-center .agents/skills/backtest-center && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "backtest-center" agent skill from https://github.com/qusong0627/QuantMind/tree/master/skills/backtest-center into .agents/skills/backtest-center/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "backtest-center", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add qusong0627/QuantMind --skill backtest-center -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install qusong0627/QuantMind backtest-center --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/qusong0627/QuantMind.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/backtest-center .cursor/skills/backtest-center && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "backtest-center" agent skill from https://github.com/qusong0627/QuantMind/tree/master/skills/backtest-center into .cursor/skills/backtest-center/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "backtest-center", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/qusong0627/QuantMind.git --path skills/backtest-center--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add qusong0627/QuantMind --skill backtest-center -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install qusong0627/QuantMind backtest-center --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/qusong0627/QuantMind.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/backtest-center .gemini/skills/backtest-center && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "backtest-center" agent skill from https://github.com/qusong0627/QuantMind/tree/master/skills/backtest-center into .gemini/skills/backtest-center/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "backtest-center", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install qusong0627/QuantMind backtest-centerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add qusong0627/QuantMind --skill backtest-center -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/qusong0627/QuantMind.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/backtest-center .github/skills/backtest-center && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "backtest-center" agent skill from https://github.com/qusong0627/QuantMind/tree/master/skills/backtest-center into .github/skills/backtest-center/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "backtest-center", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add qusong0627/QuantMind --skill backtest-center -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install qusong0627/QuantMind backtest-center --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/qusong0627/QuantMind.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/backtest-center .opencode/skills/backtest-center && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "backtest-center" agent skill from https://github.com/qusong0627/QuantMind/tree/master/skills/backtest-center into .opencode/skills/backtest-center/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "backtest-center", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
backtest-center回测中心 — 快速回测、专家模式、回测历史、策略对比、参数优化、策略管理、高级分析。在 QuantBot / Claude Code 中运行 Qlib 回测、对比策略、优化参数、分析回测结果、管理策略时使用。触发词:回测、回测中心、运行回测、策略对比、参数优化、回测历史、专家模式、高级分析、模型回测、推理回测
Backtest Center is an agent skill from qusong0627/QuantMind. 回测中心 — 快速回测、专家模式、回测历史、策略对比、参数优化、策略管理、高级分析。在 QuantBot / Claude Code 中运行 Qlib 回测、对比策略、优化参数、分析回测结果、管理策略时使用。触发词:回测、回测中心、运行回测、策略对比、参数优化、回测历史、专家模式、高级分析、模型回测、推理回测
Its SKILL.md is about 1.8k 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, covering Trading and backtesting. 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.
10 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 2e93d9a. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
curlpython3From the folder's file list and the shell code blocks in SKILL.md.
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.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Backtest Center loads about 1.8k tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 158 words of instructions outside code blocks.
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.
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.
The full file from qusong0627/QuantMind at commit 2e93d9a, republished under its AGPL-3.0 licence (© qusong0627). 158 words, ~1,844 tokens.
.claude/skills/backtest-center/SKILL.md (or your agent's skills folder).⚙️ 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。
QuantMind 回测中心的完整操作指南。覆盖 7 大功能:快速回测、专家模式、回测历史、策略对比、参数优化、策略管理、高级分析。
回测走 engine 服务(8001)的 Qlib 引擎,API 网关(8000)代理。核心路径前缀见下文 qlib/* 各节。
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 $TOKEN"
CT="Content-Type: application/json"QlibBacktestRequest.use_vectorized: bool(默认 false)触发向量化极速引擎(纯 pandas 矩阵运算,全市场近 1 年从 500s+ 降到秒级~分钟级)。
curl -s -X POST -H "$AUTH" -H "$CT" "$BASE/api/v1/qlib/backtest" \
-d '{
"strategy_type": "CustomStrategy",
"strategy_content": "STRATEGY_CONFIG = {...}",
"model_id": "mdl_cn_xxx",
"start_date": "2025-01-01",
"end_date": "2025-12-31",
"universe": "csi300",
"initial_capital": 1000000,
"benchmark": "000300.SH",
"use_vectorized": true,
"strategy_params": {"signal": "<PRED>", "topk": 50},
"qlib_provider_uri": "db/qlib_data",
"qlib_region": "cn"
}'安全门:use_vectorized=true 时系统自动检测策略是否"向量化安全"(纯 TopK 全换 + 无加权/无止损/无 pool_file/无自定义类)。不安全策略自动退回 step 模式保语义。
curl -s -X POST -H "$AUTH" -H "$CT" "$BASE/api/v1/qlib/backtest" \
-d '{
"strategy_id": "strategy_xxx",
"start_date": "2024-01-01",
"end_date": "2024-12-31",
"initial_capital": 1000000,
"benchmark": "000300.SH"
}'返回:backtest_id + 初始结果。后续用 backtest_id 查结果/日志/分析。
# 可用回测交易日
curl -s -H "$AUTH" "$BASE/api/v1/admin/models/backtest/trading-dates?start=2025-01-01&end=2025-12-31"
# 可用于回测的模型列表
curl -s -H "$AUTH" "$BASE/api/v1/admin/models/list-for-backtest"
# 启动模型滚动回测
curl -s -X POST -H "$AUTH" -H "$CT" "$BASE/api/v1/admin/models/backtest" \
-d '{"model_id":"mdl_xxx","start":"2025-01-01","end":"2025-12-31"}'
# ⚠️ 多周期对比回测已下线:管理端 multi-horizon 路由不存在(2026-09 清理)curl -s -X POST -H "$AUTH" -H "$CT" "$BASE/api/v1/admin/models/inference-backtest" \
-d '{
"model_id":"mdl_xxx",
"start_date":"2025-01-01",
"end_date":"2025-12-31",
"signal_mode":"stored",
"strategy":{"top_k":20,"side":"long"}
}'signal_mode:stored(用已存信号)/ realtime(实时生成)
# 策略列表
curl -s -H "$AUTH" "$BASE/api/v1/strategies"
# 策略模板
curl -s -H "$AUTH" "$BASE/api/v1/strategies/templates"
# 创建策略
curl -s -X POST -H "$AUTH" -H "$CT" "$BASE/api/v1/strategies" \
-d '{"name":"我的策略","description":"动量策略","strategy_type":"TopkDropoutStrategy","params":{"topk":20}}'
# 激活策略
curl -s -X POST -H "$AUTH" "$BASE/api/v1/strategies/{strategy_id}/activate"# 回测结果(含净值/回撤/交易/指标)
curl -s -H "$AUTH" "$BASE/api/v1/qlib/results/{backtest_id}"
# 回测成交明细
curl -s -H "$AUTH" "$BASE/api/v1/qlib/results/{backtest_id}/trades"
# 回测状态(轮询,注意路径是 backtest 单数)
curl -s -H "$AUTH" "$BASE/api/v1/qlib/backtest/{backtest_id}/status"
# 删除回测记录
curl -s -X DELETE -H "$AUTH" "$BASE/api/v1/qlib/results/{backtest_id}"
# 我的回测历史
curl -s -H "$AUTH" "$BASE/api/v1/qlib/history/me"
# 模型滚动回测历史(管理端)
curl -s -H "$AUTH" "$BASE/api/v1/admin/models/backtest/history/{model_id}?limit=20"
curl -s -H "$AUTH" "$BASE/api/v1/admin/models/backtest/history/{model_id}/{run_id}"
curl -s -X DELETE -H "$AUTH" "$BASE/api/v1/admin/models/backtest/history/{model_id}/{run_id}"curl -s -H "$AUTH" "$BASE/api/v1/qlib/compare/{id1}/{id2}"多周期对比回测(管理端 multi-horizon)已于 2026-09 下线;多策略/多模型对比改用 compare(结果级)或在训练侧按单周期分别训练模型再各自回测。
# 提交参数优化(默认算法)
curl -s -X POST -H "$AUTH" -H "$CT" "$BASE/api/v1/qlib/optimize" \
-d '{
"strategy_id": "strategy_xxx",
"start_date": "2024-01-01",
"end_date": "2024-12-31",
"param_ranges": {
"topk": [5, 50],
"n_drop": [1, 10],
"rebalance_period": [5, 30]
},
"generations": 10,
"population_size": 20
}'
# 返回 optimization_id
# 遗传算法优化(专门入口)
curl -s -X POST -H "$AUTH" -H "$CT" "$BASE/api/v1/qlib/optimize/genetic" \
-d '{"strategy_id":"strategy_xxx","start_date":"2024-01-01","end_date":"2024-12-31","param_ranges":{"topk":[5,50]},"generations":10,"population_size":20}'
# 查询优化结果
curl -s -H "$AUTH" "$BASE/api/v1/qlib/optimization/{optimization_id}"
# 优化历史
curl -s -H "$AUTH" "$BASE/api/v1/qlib/optimization/history"高级分析端点统一挂在分析前缀下(
analysis/*,完整形如/api/v1/analysis/basic-risk)。
curl -s -X POST -H "$AUTH" -H "$CT" "$BASE/api/v1/analysis/basic-risk" \
-d '{"backtest_id":"xxx"}'curl -s -X POST -H "$AUTH" -H "$CT" "$BASE/api/v1/analysis/performance" \
-d '{"backtest_id":"xxx"}'curl -s -X POST -H "$AUTH" -H "$CT" "$BASE/api/v1/analysis/trade-stats" \
-d '{"backtest_id":"xxx"}'curl -s -X POST -H "$AUTH" -H "$CT" "$BASE/api/v1/analysis/benchmark" \
-d '{"backtest_id":"xxx"}'curl -s -X POST -H "$AUTH" -H "$CT" "$BASE/api/v1/analysis/position" \
-d '{"backtest_id":"xxx"}'curl -s -X POST -H "$AUTH" -H "$CT" "$BASE/api/v1/analysis/factor-analysis" \
-d '{"backtest_id":"xxx"}'curl -s -X POST -H "$AUTH" -H "$CT" "$BASE/api/v1/analysis/style-attribution" \
-d '{"backtest_id":"xxx"}'# 风险指标(回撤/夏普/波动等)
curl -s -H "$AUTH" "$BASE/api/v1/qlib/risk/{backtest_id}/metrics"
# 风险告警
curl -s -H "$AUTH" "$BASE/api/v1/qlib/risk/{backtest_id}/alerts"
# 风险配置
curl -s -X POST -H "$AUTH" -H "$CT" "$BASE/api/v1/qlib/risk/{backtest_id}/config" \
-d '{"max_drawdown":0.15,"var_confidence":0.95}'curl -s -H "$AUTH" "$BASE/api/v1/qlib/logs/{backtest_id}"# CSV / PDF / Excel 报告
curl -s -H "$AUTH" "$BASE/api/v1/qlib/export/{backtest_id}/csv" -o backtest_report.csv
curl -s -H "$AUTH" "$BASE/api/v1/qlib/export/{backtest_id}/pdf" -o backtest_report.pdf
curl -s -H "$AUTH" "$BASE/api/v1/qlib/export/{backtest_id}/excel" -o backtest_report.xlsx当用户要求"回测策略/模型"时:
/strategies 或 /admin/models/list-for-backtest 选回测对象/admin/models/backtest/trading-dates 选区间/admin/models/backtest 或 /qlib/backtest/qlib/logs/{id} 确认完成/qlib/analysis/* + /qlib/risk/{id}/metrics/qlib/optimize 遗传算法搜索最优参数| 现象 | 处理 |
|---|---|
| 回测无结果 | 确认日期区间有交易日数据,查 /qlib/logs/{id} |
| 策略列表空 | 先创建策略或从模板同步 /strategies/templates |
| 参数优化慢 | 减少 generations/population_size |
| 报告导出失败 | 确认 backtest_id 存在且有完整结果 |
© 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
Just SKILL.md in skills/backtest-center of qusong0627/QuantMind.
Open the folder on GitHubat commit 2e93d9a
Backtest Center 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Backtest Center this skillqusong0627/QuantMind | 1.7k | — | ~1.8k | Automated safety check: Pass | AGPL-3.0 | |
| Tushare Datazillionare/zillionare | 321 | 2 repos | ~2.3k | Automated safety check: Pass | None | |
| Tradingview MCPatilaahmettaner/tradingview-mcp | 5k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Digital Oraclekomako-workshop/digital-oracle | 875 | — | ~5.9k | Automated safety check: Pass | MIT | |
| Polyclawchainstacklabs/polyclaw | 359 | 1 repos | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Markdownfacioquo/stock-indicators-dotnet | 1.2k | — | ~812 | Automated safety check: Pass | Apache-2.0 |
zillionare/zillionare
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。
atilaahmettaner/tradingview-mcp
AI Trading Intelligence — live prices, 30+ technical indicators, backtesting (6 strategies), walk-forward overfitting detection, trade logs, equity curves, licensed news sentiment (Marketaux), and…
komako-workshop/digital-oracle
Answer prediction questions using market trading data, not opinions.
chainstacklabs/polyclaw
Trade on Polymarket via split + CLOB execution. An agent skill from chainstacklabs/polyclaw.
facioquo/stock-indicators-dotnet
Format and lint Markdown in this repository against GitHub Flavored Markdown and its markdownlint-cli2 configuration — headers, lists, code fences, callouts (VitePress containers on docs-site pages…
MobiusQuant/OpenMobius-skill
Provides multi-school trading Q&A, chart/OHLCV analysis, annotation, and fresh-market workflows covering ICT/SMC, ChanLun, Wyckoff, Price Action, Order Flow, VSA, and Elliott Wave.
qusong0627/QuantMind
Produces a post-market review report for the China A-share market from local QuantDB data, news sentiment and model signals, ending in a next-day direction call.
qusong0627/QuantMind
Queries Futu quotes, options, fundamentals and accounts and places orders through the Futu OpenAPI Python SDK, defaulting to simulated trading.
qusong0627/QuantMind
Turns a plain-language model training request into a validated QuantMind training config file that can be imported from the Model Training page.
qusong0627/QuantMind
Covers the Tiger Brokers OpenAPI Python SDK for market data, stock, futures and options trading, push subscriptions, a CLI and an MCP server, defaulting to paper trading.
qusong0627/QuantMind
Guides an agent through the Tiger Brokers OpenAPI C++ SDK for build setup, market data, orders and real-time push, defaulting to paper trading.
qusong0627/QuantMind
Guides building C# and .NET apps on the Tiger Brokers OpenAPI SDK: setup, market data, orders, accounts, options and real-time push, defaulting to paper trading.
Categories
回测中心 — 快速回测、专家模式、回测历史、策略对比、参数优化、策略管理、高级分析。在 QuantBot / Claude Code 中运行 Qlib 回测、对比策略、优化参数、分析回测结果、管理策略时使用。触发词:回测、回测中心、运行回测、策略对比、参数优化、回测历史、专家模式、高级分析、模型回测、推理回测. Backtest Center is an agent skill from qusong0627/QuantMind.
Backtest Center fits situations like: tasks that involve Trading and backtesting.
Run `npx skills add qusong0627/QuantMind --skill backtest-center -a claude-code`. Or copy the skill folder (skills/backtest-center in qusong0627/QuantMind) into .claude/skills/backtest-center in your project. Claude Code loads it when a task matches its description.
Run `npx skills add qusong0627/QuantMind --skill backtest-center -a codex`. Or copy the skill folder (skills/backtest-center in qusong0627/QuantMind) into .agents/skills/backtest-center in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add qusong0627/QuantMind --skill backtest-center -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/backtest-center, .gemini/skills/backtest-center, .github/skills/backtest-center and .opencode/skills/backtest-center in your project.
Going by SKILL.md and its folder, Backtest Center needs the command-line tools its instructions call (curl and python3). Our summary lists: Python 3.
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.
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.
Backtest Center 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.
About 1.8k tokens (SKILL.md is roughly 7.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Backtest Center: Tushare Data (zillionare/zillionare, 321 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars), Digital Oracle (komako-workshop/digital-oracle, 875 stars) and Polyclaw (chainstacklabs/polyclaw, 359 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
qusong0627 (a GitHub user) maintains it in qusong0627/QuantMind, which has 1,723 GitHub stars. The repository holds 27 skills in this directory. The repository was last updated on October 9, 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.