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。
Institutional-grade Python backtesting framework builder for Codex.
Install Quant Backtest
$ npx skills add joemccann/market-data-warehouse --skill quant-backtest -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install joemccann/market-data-warehouse quant-backtest --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/joemccann/market-data-warehouse.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/quant-backtest .claude/skills/quant-backtest && 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 "quant-backtest" agent skill from https://github.com/joemccann/market-data-warehouse/tree/main/.codex/skills/quant-backtest into .claude/skills/quant-backtest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quant-backtest", 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/joemccann/market-data-warehouse/tree/main/.codex/skills/quant-backtestType 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 joemccann/market-data-warehouse --skill quant-backtest -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install joemccann/market-data-warehouse quant-backtest --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/joemccann/market-data-warehouse.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.codex/skills/quant-backtest .agents/skills/quant-backtest && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "quant-backtest" agent skill from https://github.com/joemccann/market-data-warehouse/tree/main/.codex/skills/quant-backtest into .agents/skills/quant-backtest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quant-backtest", 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 joemccann/market-data-warehouse --skill quant-backtest -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install joemccann/market-data-warehouse quant-backtest --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/joemccann/market-data-warehouse.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.codex/skills/quant-backtest .cursor/skills/quant-backtest && 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 "quant-backtest" agent skill from https://github.com/joemccann/market-data-warehouse/tree/main/.codex/skills/quant-backtest into .cursor/skills/quant-backtest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quant-backtest", 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/joemccann/market-data-warehouse.git --path .codex/skills/quant-backtest--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 joemccann/market-data-warehouse --skill quant-backtest -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install joemccann/market-data-warehouse quant-backtest --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/joemccann/market-data-warehouse.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.codex/skills/quant-backtest .gemini/skills/quant-backtest && 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 "quant-backtest" agent skill from https://github.com/joemccann/market-data-warehouse/tree/main/.codex/skills/quant-backtest into .gemini/skills/quant-backtest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quant-backtest", 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 joemccann/market-data-warehouse quant-backtestInstalls 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 joemccann/market-data-warehouse --skill quant-backtest -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/joemccann/market-data-warehouse.git skills-src && mkdir -p .github/skills && cp -r skills-src/.codex/skills/quant-backtest .github/skills/quant-backtest && 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 "quant-backtest" agent skill from https://github.com/joemccann/market-data-warehouse/tree/main/.codex/skills/quant-backtest into .github/skills/quant-backtest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quant-backtest", 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 joemccann/market-data-warehouse --skill quant-backtest -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install joemccann/market-data-warehouse quant-backtest --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/joemccann/market-data-warehouse.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.codex/skills/quant-backtest .opencode/skills/quant-backtest && 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 "quant-backtest" agent skill from https://github.com/joemccann/market-data-warehouse/tree/main/.codex/skills/quant-backtest into .opencode/skills/quant-backtest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quant-backtest", 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.
Facts
- Skill name
quant-backtest- GitHub stars
- 183
- Token cost
- ~2.1k tokens
- SKILL.md length
- 870 words
- Files
- 2
- Skills in repo
- 1
- Repo updated
- First seen
- Licence
- None found
At a glance
Institutional-grade Python backtesting framework builder for Codex.
- Works in 5 steps: Inspect the repo or task shape → Map the work to this module layout → Build or update the core modules → …
- The user mentions backtesting
- SKILL.md covers Purpose, Inputs to Gather, Operating Principles and Execution Plan, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Quant Backtest is an agent skill from joemccann/market-data-warehouse. Institutional-grade Python backtesting framework builder for Codex. Use this skill whenever the user mentions backtesting, quant strategy, alpha model, trading system, signal engine, portfolio backtest, walk-forward optimization, strategy performance, Sharpe ratio calculation, look-ahead bias, transaction cost modeling, or building any systematic trading infrastructure. Also trigger on mentions of vectorized signals, position sizing, mark-to-market, risk metrics (VaR, Sortino, Calmar), regime filters, or factor…
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).
It sits in Business, Finance & HR, covering Trading and backtesting. It works with Python. The repository describes itself as: A local-first financial data warehouse for universe-scale market data.
When your agent uses it
- The user mentions backtesting
- Portfolio backtest
- Walk-forward optimization
- Strategy performance
Example prompts
- “backtest this idea”
- “test my trading strategy”
- “/quant-backtest”
Requirements
- Python 3
Workflow steps
5 steps, taken from the step headings in SKILL.md.
- Inspect the repo or task shape
- Map the work to this module layout
- Build or update the core modules
- Validate correctness
- Deliver useful outputs
What it can do on your machine
Read from SKILL.md and the folder at commit c9c792f. 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
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Quant Backtest loads about 2.1k tokens when it runs. Until then it costs about 157 tokens; SKILL.md has 870 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.
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
Without a licence we can't republish the file, so here is its outline and opening line. It has 870 words (~2,062 tokens).
“Build modular, institutional-grade Python backtesting systems. Keep the architecture strategy-agnostic and enforce rigorous data handling, transaction cost modeling, and performance attribution.”
- name
- quant-backtest
Files
SKILL.md and 1 other file in .codex/skills/quant-backtest of joemccann/market-data-warehouse.
- SKILL.md
- agents/openai.yaml
Open the folder on GitHubat commit c9c792f
Compare with similar skills
Quant Backtest 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 |
|---|---|---|---|---|---|---|
| Quant Backtest this skilljoemccann/market-data-warehouse | 183 | — | ~2.1k | Automated safety check: Pass | None | |
| Tushare Datazillionare/zillionare | 319 | 2 repos | ~2.3k | Automated safety check: Pass | None | |
| Kalshi Traderyanfrigo/kalshi-ai-trading-bot | 612 | — | ~3.4k | Automated safety check: Pass | MIT | |
| Polymarket Tennislivetennisapi/livetennisapi-mcp | 152 | — | ~3k | Automated safety check: Pass | MIT | |
| Openscriptmarketcalls/openalgo | 2.8k | — | ~2.3k | Automated safety check: Notes | AGPL-3.0 | |
| Qmt Inner Backtestdfkai/xtquantai | 164 | — | ~1.8k | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about Quant Backtest
What does Quant Backtest do?
Institutional-grade Python backtesting framework builder for Codex. Quant Backtest is an agent skill from joemccann/market-data-warehouse. Institutional-grade Python backtesting framework builder for Codex.
When should I use Quant Backtest?
Quant Backtest fits situations like: the user mentions backtesting; portfolio backtest; walk-forward optimization; strategy performance.
How do I install Quant Backtest in Claude Code?
Run `npx skills add joemccann/market-data-warehouse --skill quant-backtest -a claude-code`. Or copy the skill folder (.codex/skills/quant-backtest in joemccann/market-data-warehouse) into .claude/skills/quant-backtest in your project. Claude Code loads it when a task matches its description.
How do I install Quant Backtest in Codex?
Run `npx skills add joemccann/market-data-warehouse --skill quant-backtest -a codex`. Or copy the skill folder (.codex/skills/quant-backtest in joemccann/market-data-warehouse) into .agents/skills/quant-backtest in your project. Codex loads it when a task matches its description.
Can I use Quant Backtest 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 joemccann/market-data-warehouse --skill quant-backtest -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/quant-backtest, .gemini/skills/quant-backtest, .github/skills/quant-backtest and .opencode/skills/quant-backtest in your project.
What does Quant Backtest need to run?
SKILL.md names no scripts, command-line tools or credentials: Quant Backtest is instructions for the agent only. Our summary lists: Python 3.
Does Quant Backtest access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Quant Backtest 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 Quant Backtest use?
No licence was found for Quant Backtest or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Quant Backtest use?
About 2.1k tokens (SKILL.md is roughly 8.2k 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 Quant Backtest?
Skills that share tags, products or a category with Quant Backtest: Tushare Data (zillionare/zillionare, 319 stars), Kalshi Trade (ryanfrigo/kalshi-ai-trading-bot, 612 stars), Polymarket Tennis (livetennisapi/livetennisapi-mcp, 152 stars) and Openscript (marketcalls/openalgo, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Quant Backtest?
joemccann (a GitHub user) maintains it in joemccann/market-data-warehouse, which has 183 GitHub stars. The repository was last updated on March 30, 2026.
Source: joemccann/market-data-warehouse on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.