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。
Factor monitoring. An agent skill from VernonOY/alpha-skills.
$ npx skills add VernonOY/alpha-skills --skill alpha-monitor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install VernonOY/alpha-skills alpha-monitor --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/VernonOY/alpha-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/alpha-monitor .claude/skills/alpha-monitor && 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 "alpha-monitor" agent skill from https://github.com/VernonOY/alpha-skills/tree/main/skills/alpha-monitor into .claude/skills/alpha-monitor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alpha-monitor", 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/VernonOY/alpha-skills/tree/main/skills/alpha-monitorType 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 VernonOY/alpha-skills --skill alpha-monitor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install VernonOY/alpha-skills alpha-monitor --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VernonOY/alpha-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/alpha-monitor .agents/skills/alpha-monitor && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "alpha-monitor" agent skill from https://github.com/VernonOY/alpha-skills/tree/main/skills/alpha-monitor into .agents/skills/alpha-monitor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alpha-monitor", 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 VernonOY/alpha-skills --skill alpha-monitor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install VernonOY/alpha-skills alpha-monitor --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VernonOY/alpha-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/alpha-monitor .cursor/skills/alpha-monitor && 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 "alpha-monitor" agent skill from https://github.com/VernonOY/alpha-skills/tree/main/skills/alpha-monitor into .cursor/skills/alpha-monitor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alpha-monitor", 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/VernonOY/alpha-skills.git --path skills/alpha-monitor--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 VernonOY/alpha-skills --skill alpha-monitor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install VernonOY/alpha-skills alpha-monitor --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VernonOY/alpha-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/alpha-monitor .gemini/skills/alpha-monitor && 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 "alpha-monitor" agent skill from https://github.com/VernonOY/alpha-skills/tree/main/skills/alpha-monitor into .gemini/skills/alpha-monitor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alpha-monitor", 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 VernonOY/alpha-skills alpha-monitorInstalls 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 VernonOY/alpha-skills --skill alpha-monitor -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/VernonOY/alpha-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/alpha-monitor .github/skills/alpha-monitor && 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 "alpha-monitor" agent skill from https://github.com/VernonOY/alpha-skills/tree/main/skills/alpha-monitor into .github/skills/alpha-monitor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alpha-monitor", 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 VernonOY/alpha-skills --skill alpha-monitor -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install VernonOY/alpha-skills alpha-monitor --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VernonOY/alpha-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/alpha-monitor .opencode/skills/alpha-monitor && 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 "alpha-monitor" agent skill from https://github.com/VernonOY/alpha-skills/tree/main/skills/alpha-monitor into .opencode/skills/alpha-monitor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alpha-monitor", 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.
alpha-monitorFactor monitoring. An agent skill from VernonOY/alpha-skills.
Alpha Monitor is an agent skill from VernonOY/alpha-skills. Factor monitoring. Check active factors for IC decay and health issues. 因子监控。检查活跃因子的IC衰减和健康状态。 Triggers: "health check", "monitor", "检查因子健康", "因子状态"
Its SKILL.md is about 1.7k 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: Quantitative factor research skills for AI coding assistants. The licence is Apache-2.0.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit f58f80a. 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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are python and markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
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.
Alpha Monitor loads about 1.7k tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 358 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 VernonOY/alpha-skills at commit f58f80a, republished under its Apache-2.0 licence (© VernonOY). 358 words, ~1,745 tokens.
.claude/skills/alpha-monitor/SKILL.md (or your agent's skills folder).你是一个因子监控系统。检查因子库中所有活跃因子的当前健康状态。 You are a factor monitoring system. Check health status of all active factors in the library.
| English | 中文 |
|---|---|
| Factor | 因子 |
| IC (Information Coefficient) | 信息系数 |
| ICIR (IC Information Ratio) | IC信息比率 |
| Quintile | 五分位/分组 |
| Long-Short | 多空 |
| Sharpe Ratio | 夏普比率 |
| Max Drawdown | 最大回撤 |
| Monotonicity | 单调性 |
| Robustness | 鲁棒性 |
| Holding Period | 持有期 |
| Factor Registry | 因子注册表 |
| Backtest | 回测 |
| Gate Check | 门控检查 |
Multi-Market Support / 多市场支持:
Alpha Skills support A-share (default), HK, and US stocks via data adapters: Alpha Skills 通过数据适配器支持A股(默认)、港股和美股:
# .claude/alpha-agent.config.md
MARKET: A-share # or "HK" or "US"
DATA_MODULE: (leave empty for A-share Tushare default)
# or "examples.us_data_yfinance"
# or "examples.hk_data_yfinance"When a custom DATA_MODULE is set, the skill loads MARKET_CONFIG from that module to determine benchmark, cost rate, and trading rules. 设置自定义DATA_MODULE时,skill从该模块加载MARKET_CONFIG来确定基准、成本和交易规则。
Language Rule / 语言规则:
import sys, os, sqlite3, json, uuid
from datetime import datetime
PROJECT_DIR = '<当前工作目录 current working directory>'
# ── 因子注册表(自包含,无外部依赖)/ Factor Registry (self-contained, no external deps) ──
class FactorRegistry:
def __init__(self, db_path="alpha_skills.db"):
self.db_path = db_path
with sqlite3.connect(db_path) as conn:
conn.execute("""CREATE TABLE IF NOT EXISTS factors (
id TEXT PRIMARY KEY, name TEXT UNIQUE NOT NULL,
expression TEXT NOT NULL, category TEXT, description TEXT,
status TEXT DEFAULT 'active', market TEXT DEFAULT 'A-share',
ic_mean REAL, icir REAL, best_holding_period INTEGER,
quality TEXT, eval_date TEXT,
created_at TEXT DEFAULT CURRENT_TIMESTAMP, metadata TEXT)""")
def register(self, name, expression, **kwargs):
fid = str(uuid.uuid4())[:8]
with sqlite3.connect(self.db_path) as conn:
conn.execute(
"INSERT OR REPLACE INTO factors (id,name,expression,category,description,status,market,ic_mean,icir,best_holding_period,quality,eval_date,metadata) VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?)",
(fid, name, expression, kwargs.get("category",""), kwargs.get("description",""),
"active", kwargs.get("market","A-share"), kwargs.get("ic_mean"), kwargs.get("icir"),
kwargs.get("best_holding_period"), kwargs.get("quality"),
datetime.now().isoformat(), json.dumps(kwargs.get("metadata",{}))))
return fid
def list_all(self, status=None):
with sqlite3.connect(self.db_path) as conn:
conn.row_factory = sqlite3.Row
if status:
rows = conn.execute("SELECT * FROM factors WHERE status=? ORDER BY icir DESC", (status,)).fetchall()
else:
rows = conn.execute("SELECT * FROM factors ORDER BY icir DESC").fetchall()
return [dict(r) for r in rows]
def get(self, name):
with sqlite3.connect(self.db_path) as conn:
conn.row_factory = sqlite3.Row
row = conn.execute("SELECT * FROM factors WHERE name=?", (name,)).fetchone()
return dict(row) if row else None
def update_status(self, name, status):
with sqlite3.connect(self.db_path) as conn:
conn.execute("UPDATE factors SET status=? WHERE name=?", (status, name))
def delete(self, name):
with sqlite3.connect(self.db_path) as conn:
conn.execute("DELETE FROM factors WHERE name=?", (name,))
reg = FactorRegistry(os.path.join(PROJECT_DIR, "alpha_skills.db"))
active_factors = reg.list_all(status='active')如果因子库为空,提示用户先注册因子。 If library is empty, prompt user to register factors first.
加载最近1年的数据用于计算滚动指标(同alpha-evaluate的数据加载流程)。 Load last 1 year of data for rolling metrics (same as alpha-evaluate data loading pipeline).
对每个因子 / For each factor:
🟢 HEALTHY: Rolling ICIR 滚动ICIR ≥ Registered ICIR 注册ICIR × 50%
🟡 WARNING: Rolling ICIR 滚动ICIR < Registered ICIR 注册ICIR × 50% or 或 2 consecutive months IC negative 连续2月IC为负
🔴 ALERT: Rolling ICIR 滚动ICIR < 0 or 或 4 consecutive months IC negative 连续4月IC为负 or 或 quintile monotonicity collapse 分组单调性崩溃分析可能的原因 Analyze possible causes:
给出建议 Provide suggestions:
🏥 Factor Health Report / 因子健康报告 (YYYY-MM-DD)
🟢 pv_diverge Rolling ICIR 滚动ICIR=0.62 (Registered 注册 0.70) Healthy 健康
🟢 turnover_20 Rolling ICIR 滚动ICIR=0.48 (Registered 注册 0.52) Healthy 健康
🟡 volatility_20 Rolling ICIR 滚动ICIR=0.19 (Registered 注册 0.43) ← Decay 衰减 56%
Diagnosis 诊断: <cause analysis 原因分析>
Suggestion 建议: Reduce weight, observe 1 month / 降低权重,观察1个月
Summary 总览: N🟢 N🟡 N🔴 / Total 共 N active factors 个活跃因子reg.update_status("factor_name", "warning") # or 或 "alert"© VernonOY, Apache-2.0. 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/alpha-monitor of VernonOY/alpha-skills.
Open the folder on GitHubat commit f58f80a
Alpha Monitor 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 |
|---|---|---|---|---|---|---|
| Alpha Monitor this skillVernonOY/alpha-skills | 117 | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Tushare Datazillionare/zillionare | 322 | 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 | 878 | — | ~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.
VernonOY/alpha-skills
Autonomous factor research loop. An agent skill from VernonOY/alpha-skills.
VernonOY/alpha-skills
Strategy backtest. An agent skill from VernonOY/alpha-skills.
VernonOY/alpha-skills
Factor discovery. An agent skill from VernonOY/alpha-skills.
VernonOY/alpha-skills
Factor library management. An agent skill from VernonOY/alpha-skills.
VernonOY/alpha-skills
Automated factor mining. An agent skill from VernonOY/alpha-skills.
VernonOY/alpha-skills
Factor reports. An agent skill from VernonOY/alpha-skills.
Categories
Factor monitoring. An agent skill from VernonOY/alpha-skills. Alpha Monitor is an agent skill from VernonOY/alpha-skills. Factor monitoring.
Alpha Monitor fits situations like: tasks that involve Trading and backtesting.
Run `npx skills add VernonOY/alpha-skills --skill alpha-monitor -a claude-code`. Or copy the skill folder (skills/alpha-monitor in VernonOY/alpha-skills) into .claude/skills/alpha-monitor in your project. Claude Code loads it when a task matches its description.
Run `npx skills add VernonOY/alpha-skills --skill alpha-monitor -a codex`. Or copy the skill folder (skills/alpha-monitor in VernonOY/alpha-skills) into .agents/skills/alpha-monitor 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 VernonOY/alpha-skills --skill alpha-monitor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/alpha-monitor, .gemini/skills/alpha-monitor, .github/skills/alpha-monitor and .opencode/skills/alpha-monitor in your project.
SKILL.md names no scripts, command-line tools or credentials: Alpha Monitor is instructions for the agent only. Our summary lists: Python 3.
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.
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.
Alpha Monitor is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 7k 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 Alpha Monitor: Tushare Data (zillionare/zillionare, 322 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars), Digital Oracle (komako-workshop/digital-oracle, 878 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.
VernonOY (a GitHub user) maintains it in VernonOY/alpha-skills, which has 117 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on April 14, 2026.
Source: VernonOY/alpha-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.