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。
A skill your agent uses when evaluating Jim Simons / Renaissance-style quantitative strategies: many weak signals, statistical validation, signal decay, portfolio construction, execution cost, and…
Install Simons Quant
$ npx skills add questflowai/investorskills --skill simons-quant -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install questflowai/investorskills simons-quant --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/questflowai/investorskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/simons-quant .claude/skills/simons-quant && 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 "simons-quant" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/simons-quant into .claude/skills/simons-quant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "simons-quant", 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/questflowai/investorskills/tree/main/skills/simons-quantType 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 questflowai/investorskills --skill simons-quant -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install questflowai/investorskills simons-quant --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/simons-quant .agents/skills/simons-quant && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "simons-quant" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/simons-quant into .agents/skills/simons-quant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "simons-quant", 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 questflowai/investorskills --skill simons-quant -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install questflowai/investorskills simons-quant --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/simons-quant .cursor/skills/simons-quant && 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 "simons-quant" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/simons-quant into .cursor/skills/simons-quant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "simons-quant", 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/questflowai/investorskills.git --path skills/simons-quant--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 questflowai/investorskills --skill simons-quant -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install questflowai/investorskills simons-quant --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/simons-quant .gemini/skills/simons-quant && 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 "simons-quant" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/simons-quant into .gemini/skills/simons-quant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "simons-quant", 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 questflowai/investorskills simons-quantInstalls 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 questflowai/investorskills --skill simons-quant -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/simons-quant .github/skills/simons-quant && 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 "simons-quant" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/simons-quant into .github/skills/simons-quant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "simons-quant", 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 questflowai/investorskills --skill simons-quant -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install questflowai/investorskills simons-quant --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/simons-quant .opencode/skills/simons-quant && 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 "simons-quant" agent skill from https://github.com/questflowai/investorskills/tree/main/skills/simons-quant into .opencode/skills/simons-quant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "simons-quant", 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
simons-quant- GitHub stars
- 1.9k
- Token cost
- ~438 tokens
- SKILL.md length
- 171 words
- Files
- 2
- Skills in repo
- 63
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when evaluating Jim Simons / Renaissance-style quantitative strategies: many weak signals, statistical validation, signal decay, portfolio construction, execution cost, and…
- Works in 6 steps: Translate the hypothesis into measurable… → Define universe, holding period, costs,… → Test out-of-sample and across regimes. → …
- Evaluating Jim Simons / Renaissance-style quantitative strategies: many weak signals
- SKILL.md covers When To Use, Process, Output Format and Guardrails, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Simons Quant is an agent skill from questflowai/investorskills. Use when evaluating Jim Simons / Renaissance-style quantitative strategies: many weak signals, statistical validation, signal decay, portfolio construction, execution cost, and model risk.
Its SKILL.md is about 440 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `invest.md`).
It sits in Business, Finance & HR, covering Trading and backtesting. The repository describes itself as: Investor Skills is an open-source library that turns durable investing judgment into portable, structured formats. It collects how great investors think, filter opportunities… The licence is MIT.
When your agent uses it
- Evaluating Jim Simons / Renaissance-style quantitative strategies: many weak signals
- Statistical validation
- Portfolio construction
Example prompts
- “/simons-quant”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Translate the hypothesis into measurable signals.
- Define universe, holding period, costs, and data availability.
- Test out-of-sample and across regimes.
- Combine weak signals into a portfolio rather than relying on one story.
- Model execution cost, capacity, turnover, and slippage.
- Monitor decay and shut down signals that stop working.
What it can do on your machine
Read from SKILL.md and the folder at commit 2844d78. 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 markdown).
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
Simons Quant loads about 438 tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 171 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
The full file from questflowai/investorskills at commit 2844d78, republished under its MIT licence (© questflowai). 171 words, ~438 tokens.
Download SKILL.mdSave it as
.claude/skills/simons-quant/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- simons-quant
- description
- Use when evaluating Jim Simons / Renaissance-style quantitative strategies: many weak signals, statistical validation, signal decay, portfolio construction, execution cost, and model risk.
- invest
- ./invest.md
Simons Quant
Use this skill to apply a Renaissance-style quantitative lens: convert market intuition into testable signals, combine many small edges, validate statistically, control execution costs, and monitor signal decay.
When To Use
- Quant strategy design or review
- Signal research, factor testing, and backtest critique
- Statistical arbitrage and many-small-edges portfolio thinking
- Whether a trading rule is robust or overfit
Trigger phrases include Simons, Renaissance, Medallion, quant, stat arb, backtest, signal, alpha decay, and overfit.
Process
- Translate the hypothesis into measurable signals.
- Define universe, holding period, costs, and data availability.
- Test out-of-sample and across regimes.
- Combine weak signals into a portfolio rather than relying on one story.
- Model execution cost, capacity, turnover, and slippage.
- Monitor decay and shut down signals that stop working.
Output Format
# Simons Quant View: [Strategy]
## Verdict
Research / Paper Trade / Deploy Small / Reject / Overfit
## Hypothesis
## Signal Definitions
## Validation Plan
## Portfolio Construction
## Execution And Capacity
## Failure ModesGuardrails
- Do not trust in-sample backtests.
- Do not ignore transaction costs.
- Do not confuse correlation with durable edge.
- Do not deploy before data leakage checks.
Questflow Use
In Questflow, this skill is best used as a signal-research and systematic-strategy review module.
© questflowai, 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 1 other file in skills/simons-quant of questflowai/investorskills.
- SKILL.md
- invest.md
Open the folder on GitHubat commit 2844d78
Compare with similar skills
Simons Quant 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 |
|---|---|---|---|---|---|---|
| Simons Quant this skillquestflowai/investorskills | 1.9k | — | ~438 | Automated safety check: Pass | MIT | |
| Tushare Datazillionare/zillionare | 319 | 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 | 870 | — | ~5.9k | Automated safety check: Pass | MIT | |
| Fintoolsecond-state/fintool | 316 | 1 repos | ~5.9k | Automated safety check: Pass | None | |
| Polyclawchainstacklabs/polyclaw | 360 | 1 repos | ~2k | Automated safety check: Pass | Apache-2.0 |
Similar skills
Tradingview MCP
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…
Digital Oracle
komako-workshop/digital-oracle
Answer prediction questions using market trading data, not opinions.
Fintool
second-state/fintool
Financial trading CLIs — spot and perp trading on Hyperliquid, Binance, Coinbase, OKX.
Polyclaw
chainstacklabs/polyclaw
Trade on Polymarket via split + CLOB execution. An agent skill from chainstacklabs/polyclaw.
Markdown
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…
More from questflowai/investorskills
All 63 skills in this repoA16z Techno Optimist
questflowai/investorskills
A skill your agent uses when evaluating startups or tech platforms through an a16z-style lens: technology adoption, market creation, platform power, AI/crypto/software narratives, and bold…
Ackman Concentrated Activism
questflowai/investorskills
A skill your agent uses when evaluating Bill Ackman-style concentrated long theses, activist campaigns, high-conviction multiyear bets, and public narrative plus fundamental catalysts.
Ansem Crypto
questflowai/investorskills
A skill your agent uses when evaluating crypto narratives, attention rotation, memecoin cycles, Solana-style ecosystem momentum, social distribution, and reflexive retail flows in an Ansem-style…
Arthur Hayes Liquidity
questflowai/investorskills
A skill your agent uses when evaluating crypto markets through an Arthur Hayes-style liquidity lens: dollar liquidity, funding, risk appetite, cycle psychology, and macro-driven crypto positioning.
Buffett
questflowai/investorskills
A skill your agent uses when evaluating a business through Buffett-style ownership, owner earnings, durable moat, management quality, capital allocation, and margin-of-safety judgment.
Burry Asymmetric Contrarian
questflowai/investorskills
A skill your agent uses when evaluating Michael Burry-style contrarian, asymmetric, unpopular trades: deep mispricing, short theses, complex assets, forced consensus errors, and catalyst-driven…
Related
Categories
Questions about Simons Quant
What does Simons Quant do?
A skill your agent uses when evaluating Jim Simons / Renaissance-style quantitative strategies: many weak signals, statistical validation, signal decay, portfolio construction, execution cost, and…. Simons Quant is an agent skill from questflowai/investorskills. Use when evaluating Jim Simons / Renaissance-style quantitative strategies: many weak signals, statistical validation, signal decay, portfolio construction, execution cost, and model risk.
When should I use Simons Quant?
Simons Quant fits situations like: evaluating Jim Simons / Renaissance-style quantitative strategies: many weak signals; statistical validation; portfolio construction.
How do I install Simons Quant in Claude Code?
Run `npx skills add questflowai/investorskills --skill simons-quant -a claude-code`. Or copy the skill folder (skills/simons-quant in questflowai/investorskills) into .claude/skills/simons-quant in your project. Claude Code loads it when a task matches its description.
How do I install Simons Quant in Codex?
Run `npx skills add questflowai/investorskills --skill simons-quant -a codex`. Or copy the skill folder (skills/simons-quant in questflowai/investorskills) into .agents/skills/simons-quant in your project. Codex loads it when a task matches its description.
Can I use Simons Quant 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 questflowai/investorskills --skill simons-quant -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/simons-quant, .gemini/skills/simons-quant, .github/skills/simons-quant and .opencode/skills/simons-quant in your project.
What does Simons Quant need to run?
SKILL.md names no scripts, command-line tools or credentials: Simons Quant is instructions for the agent only.
Does Simons Quant 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 Simons Quant 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 Simons Quant use?
Simons Quant 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 Simons Quant use?
About 438 tokens (SKILL.md is roughly 1.8k 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 Simons Quant?
Skills that share tags, products or a category with Simons Quant: Tushare Data (zillionare/zillionare, 319 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars), Digital Oracle (komako-workshop/digital-oracle, 870 stars) and Fintool (second-state/fintool, 316 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Simons Quant?
questflowai (a GitHub organization) maintains it in questflowai/investorskills, which has 1,896 GitHub stars. The repository holds 63 skills in this directory. The repository was last updated on August 23, 2026.
Source: questflowai/investorskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.