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。
Screen and filter A-share stocks based on fundamental metrics, technical indicators, capital flow, and custom criteria.
Install A Share Screener
$ npx skills add nicepkg/ai-workflow --skill a-share-screener -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install nicepkg/ai-workflow a-share-screener --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/nicepkg/ai-workflow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/workflows/stock-trader-workflow/.claude/skills/a-share-screener .claude/skills/a-share-screener && 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 "a-share-screener" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/stock-trader-workflow/.claude/skills/a-share-screener into .claude/skills/a-share-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "a-share-screener", 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/nicepkg/ai-workflow/tree/main/workflows/stock-trader-workflow/.claude/skills/a-share-screenerType 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 nicepkg/ai-workflow --skill a-share-screener -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install nicepkg/ai-workflow a-share-screener --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .agents/skills && cp -r skills-src/workflows/stock-trader-workflow/.claude/skills/a-share-screener .agents/skills/a-share-screener && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "a-share-screener" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/stock-trader-workflow/.claude/skills/a-share-screener into .agents/skills/a-share-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "a-share-screener", 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 nicepkg/ai-workflow --skill a-share-screener -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install nicepkg/ai-workflow a-share-screener --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/workflows/stock-trader-workflow/.claude/skills/a-share-screener .cursor/skills/a-share-screener && 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 "a-share-screener" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/stock-trader-workflow/.claude/skills/a-share-screener into .cursor/skills/a-share-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "a-share-screener", 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/nicepkg/ai-workflow.git --path workflows/stock-trader-workflow/.claude/skills/a-share-screener--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 nicepkg/ai-workflow --skill a-share-screener -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install nicepkg/ai-workflow a-share-screener --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/workflows/stock-trader-workflow/.claude/skills/a-share-screener .gemini/skills/a-share-screener && 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 "a-share-screener" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/stock-trader-workflow/.claude/skills/a-share-screener into .gemini/skills/a-share-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "a-share-screener", 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 nicepkg/ai-workflow a-share-screenerInstalls 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 nicepkg/ai-workflow --skill a-share-screener -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .github/skills && cp -r skills-src/workflows/stock-trader-workflow/.claude/skills/a-share-screener .github/skills/a-share-screener && 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 "a-share-screener" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/stock-trader-workflow/.claude/skills/a-share-screener into .github/skills/a-share-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "a-share-screener", 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 nicepkg/ai-workflow --skill a-share-screener -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install nicepkg/ai-workflow a-share-screener --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/workflows/stock-trader-workflow/.claude/skills/a-share-screener .opencode/skills/a-share-screener && 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 "a-share-screener" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/stock-trader-workflow/.claude/skills/a-share-screener into .opencode/skills/a-share-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "a-share-screener", 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
a-share-screener- GitHub stars
- 285
- Token cost
- ~1.5k tokens
- SKILL.md length
- 409 words
- Files
- 1
- Skills in repo
- 75
- Repo updated
- First seen
- Licence
- MIT
At a glance
Screen and filter A-share stocks based on fundamental metrics, technical indicators, capital flow, and custom criteria.
- Works in 4 steps: Fundamental Screening (基本面选股) → Technical Screening (技术面选股) → Capital Flow Screening (资金面选股) → …
- User wants to find stocks meeting specific criteria like 低PE高ROE股票
- SKILL.md covers Overview, Screening Categories, Preset Screening Strategies and Output Format, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
A Share Screener is an agent skill from nicepkg/ai-workflow. Screen and filter A-share stocks based on fundamental metrics, technical indicators, capital flow, and custom criteria. Support multiple screening strategies including value investing, growth investing, momentum trading, and dividend hunting. Use when user wants to find stocks meeting specific criteria like "低PE高ROE股票", "北向资金加仓股", "突破年线的股票".
Its SKILL.md is about 1.5k 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 and Stock and market analysis. The repository describes itself as: 🚀 170+ pre-built skills for Claude Code, Cursor, Codex & 14+ AI tools. Stop re-teaching your AI the same things. One command → instant domain expertise. Marketing, SEO, Trading… The licence is MIT.
When your agent uses it
- User wants to find stocks meeting specific criteria like 低PE高ROE股票
- Tasks that involve Trading and backtesting
- Tasks that involve Stock and market analysis
Example prompts
- “低PE高ROE股票”
- “北向资金加仓股”
- “突破年线的股票”
- “/a-share-screener”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit d167b41. 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
A Share Screener loads about 1.5k tokens when it runs. Until then it costs about 90 tokens; SKILL.md has 409 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 nicepkg/ai-workflow at commit d167b41, republished under its MIT licence (© nicepkg). 409 words, ~1,481 tokens.
Download SKILL.mdSave it as
.claude/skills/a-share-screener/SKILL.md (or your agent's skills folder).- name
- a-share-screener
- description
- Screen and filter A-share stocks based on fundamental metrics, technical indicators, capital flow, and custom criteria. Support multiple screening strategies including value investing, growth investing, momentum trading, and dividend hunting. Use when user wants to find stocks meeting specific criteria like "低PE高ROE股票", "北向资金加仓股", "突破年线的股票".
A股选股器 (A-Share Stock Screener)
Overview
Screen A-share stocks using various criteria including fundamental metrics, technical indicators, capital flow patterns, and combined strategies. Support preset screening strategies and custom filter combinations.
Screening Categories
1. Fundamental Screening (基本面选股)
Value Metrics (价值指标):
| Metric | Chinese | Typical Criteria |
|---|---|---|
| P/E Ratio | 市盈率 | < 15 (value), < 行业均值 |
| P/B Ratio | 市净率 | < 1.5, < 行业均值 |
| P/S Ratio | 市销率 | < 2 |
| PEG Ratio | PEG | < 1 (被低估) |
| Dividend Yield | 股息率 | > 3% |
| EV/EBITDA | < 10 |
Quality Metrics (质量指标):
| Metric | Chinese | Typical Criteria |
|---|---|---|
| ROE | 净资产收益率 | > 15% |
| ROA | 总资产收益率 | > 5% |
| Gross Margin | 毛利率 | > 30% |
| Net Margin | 净利率 | > 10% |
| Operating Cash Flow | 经营现金流 | > 净利润 |
Growth Metrics (成长指标):
| Metric | Chinese | Typical Criteria |
|---|---|---|
| Revenue Growth | 营收增速 | > 20% YoY |
| Profit Growth | 利润增速 | > 20% YoY |
| EPS Growth | 每股收益增速 | > 15% |
| 3Y CAGR | 三年复合增长率 | > 15% |
Financial Health (财务健康):
| Metric | Chinese | Typical Criteria |
|---|---|---|
| Debt Ratio | 资产负债率 | < 60% |
| Current Ratio | 流动比率 | > 1.5 |
| Quick Ratio | 速动比率 | > 1 |
| Interest Coverage | 利息保障倍数 | > 3 |
| Cash/Debt | 货币资金/有息负债 | > 1 |
2. Technical Screening (技术面选股)
Trend Filters (趋势筛选):
| Criteria | Chinese | Description |
|---|---|---|
| Above MA200 | 站上年线 | 价格 > 200日均线 |
| Above MA60 | 站上季线 | 价格 > 60日均线 |
| Golden Cross | 金叉 | 短期均线上穿长期均线 |
| Death Cross | 死叉 | 短期均线下穿长期均线 |
| New High | 创新高 | 52周/历史新高 |
| Breakout | 突破 | 突破关键阻力位 |
Momentum Filters (动量筛选):
| Criteria | Chinese | Description |
|---|---|---|
| RSI | RSI指标 | RSI > 50 (上涨趋势) |
| MACD | MACD | MACD > 0 或金叉 |
| Volume Surge | 放量 | 成交量 > 5日均量 x 2 |
| Price Range | 振幅 | 近期振幅筛选 |
Pattern Filters (形态筛选):
- 连续涨停
- 涨停后缩量整理
- 底部放量
- W底形态
- 头肩底形态
Show full SKILL.md (193 more words)Show less
3. Capital Flow Screening (资金面选股)
Northbound Capital (北向资金):
| Criteria | Chinese | Description |
|---|---|---|
| NB Holdings | 北向持仓 | 北向持股比例 > X% |
| NB Increasing | 北向加仓 | 近N日北向净买入 |
| NB Heavy | 北向重仓 | 北向持股市值前100 |
Institutional Flow (主力资金):
| Criteria | Chinese | Description |
|---|---|---|
| Main Inflow | 主力净流入 | 近N日主力净流入 > X亿 |
| Big Order Net | 大单净买 | 大单净买入额 > X亿 |
| Dragon Tiger | 龙虎榜 | 近期上榜 |
Shareholder Analysis (股东分析):
| Criteria | Chinese | Description |
|---|---|---|
| Holder Decrease | 股东户数减少 | 筹码集中 |
| Institution Increase | 机构增持 | 机构持仓增加 |
| Buyback | 回购 | 公司回购股票 |
4. Market Segment Screening (板块筛选)
By Board (按板块):
- 沪市主板 (60开头)
- 深市主板 (00开头)
- 创业板 (30开头)
- 科创板 (688开头)
- 北交所 (8开头)
By Index (按指数):
- 沪深300成分股
- 中证500成分股
- 创业板50成分股
- 科创50成分股
- MSCI中国成分股
By Industry (按行业):
- 申万一级/二级/三级行业
- 同花顺行业分类
- Wind行业分类
By Concept (按概念):
- 热门概念板块
- 政策受益概念
- 国企改革、专精特新等
Preset Screening Strategies
Strategy 1: 价值投资选股
筛选条件:
- PE < 15 AND PE > 0
- PB < 2
- ROE > 12%
- 资产负债率 < 60%
- 股息率 > 2%
- 市值 > 100亿Strategy 2: 成长股选股
筛选条件:
- 营收增速 > 20%
- 净利润增速 > 25%
- ROE > 15%
- 毛利率 > 30%
- PEG < 1.5
- 经营现金流 > 0Strategy 3: 白马股选股
筛选条件:
- 沪深300成分股
- ROE > 15% (连续3年)
- 净利润增速 > 10%
- 资产负债率 < 70%
- 北向持股比例 > 2%Strategy 4: 高股息选股
筛选条件:
- 股息率 > 4%
- 连续分红年数 > 5年
- 分红率 > 30%
- ROE > 10%
- 资产负债率 < 60%Strategy 5: 北向资金重仓
筛选条件:
- 北向持股比例 > 5%
- 近20日北向净买入 > 0
- 市值 > 200亿
- PE < 30Strategy 6: 技术突破选股
筛选条件:
- 今日收盘 > 20日均线
- 今日收盘 > 60日均线
- 5日均线 > 20日均线
- 成交量 > 5日均量
- MACD > 0Strategy 7: 超跌反弹选股
筛选条件:
- 近20日跌幅 > 15%
- RSI < 30
- 市净率 < 行业平均
- ROE > 8%
- 股东户数近期减少Strategy 8: 涨停板战法
筛选条件:
- 今日涨停或近3日有涨停
- 换手率 < 15%
- 市值 < 200亿
- 非ST股票
- 成交额 > 1亿Output Format
Screening Results Template
# 选股结果: [策略名称]
## 筛选条件
| 条件 | 设置值 |
|-----|-------|
| [条件1] | [值] |
| [条件2] | [值] |
| ... | ... |
## 筛选结果 (共X只)
| 代码 | 名称 | 行业 | 市值 | PE | PB | ROE | 股息率 | 涨跌幅 |
|-----|------|-----|------|----|----|-----|-------|-------|
| 600519 | 贵州茅台 | 白酒 | XXXX亿 | XX | XX | XX% | X.X% | X.XX% |
| ... | | | | | | | | |
## 重点关注 (Top 5)
### 1. [股票名称] ([代码])
- **入选理由:** [符合条件的关键指标]
- **亮点:** [投资亮点]
- **风险:** [主要风险点]
### 2. [股票名称] ([代码])
...
## 筛选说明
[对本次筛选结果的整体评价和投资建议]Comparison Template
# 选股对比: [股票列表]
## 基本面对比
| 指标 | [股票1] | [股票2] | [股票3] | 优选 |
|-----|---------|---------|---------|------|
| PE | | | | |
| PB | | | | |
| ROE | | | | |
| 增速 | | | | |
| 股息率 | | | | |
## 技术面对比
| 指标 | [股票1] | [股票2] | [股票3] | 优选 |
|-----|---------|---------|---------|------|
| 趋势 | | | | |
| 位置 | | | | |
| 动量 | | | | |
## 综合评分
| 股票 | 基本面 | 技术面 | 资金面 | 综合 |
|-----|-------|-------|-------|------|
| | X/10 | X/10 | X/10 | X/10 |
## 投资建议
[综合分析后的投资建议]Data Sources
Use web search to query:
- 东方财富选股器: "东方财富 选股 [条件]"
- 同花顺i问财: "i问财 [自然语言条件]"
- 雪球选股: "雪球 筛选 [条件]"
Natural Language Queries:
- "PE低于15 ROE大于15的股票"
- "北向资金连续5日加仓的股票"
- "创业板 近期突破年线的股票"
- "高股息 低估值 的银行股"
Example Queries
基本面选股:
- "帮我找低估值高分红的股票"
- "ROE大于20%的消费股有哪些"
- "筛选PEG小于1的成长股"
- "资产负债率低于50%的科技股"
技术面选股:
- "找出突破年线的股票"
- "最近金叉的蓝筹股"
- "创新高的股票有哪些"
- "超跌反弹的候选股票"
资金面选股:
- "北向资金重仓的股票"
- "主力连续流入的股票"
- "股东户数持续减少的股票"
- "近期龙虎榜机构买入的股票"
组合筛选:
- "给我一个价值投资选股结果"
- "用白马股策略筛选"
- "找高股息低波动的股票做防守"
- "用CANSLIM方法选股"
自定义筛选:
- "PE<20, ROE>15%, 市值>100亿, 北向持股>3%"
- "创业板, 近一年涨幅<-30%, PB<3"
© nicepkg, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in workflows/stock-trader-workflow/.claude/skills/a-share-screener of nicepkg/ai-workflow.
Open the folder on GitHubat commit d167b41
Compare with similar skills
A Share Screener 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 |
|---|---|---|---|---|---|---|
| A Share Screener this skillnicepkg/ai-workflow | 285 | — | ~1.5k | Automated safety check: Pass | MIT | |
| 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 | |
| Worth Buy Stocksstarriv/worth-buy-stocks | 175 | — | ~4.5k | Automated safety check: Notes | None | |
| Regimejackson-video-resources/markov-hedge-fund-method | 484 | — | ~1.6k | Automated safety check: Pass | Custom licence |
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Questions about A Share Screener
What does A Share Screener do?
Screen and filter A-share stocks based on fundamental metrics, technical indicators, capital flow, and custom criteria. A Share Screener is an agent skill from nicepkg/ai-workflow. Screen and filter A-share stocks based on fundamental metrics, technical indicators, capital flow, and custom criteria.
When should I use A Share Screener?
A Share Screener fits situations like: user wants to find stocks meeting specific criteria like 低PE高ROE股票; tasks that involve Trading and backtesting; tasks that involve Stock and market analysis.
How do I install A Share Screener in Claude Code?
Run `npx skills add nicepkg/ai-workflow --skill a-share-screener -a claude-code`. Or copy the skill folder (workflows/stock-trader-workflow/.claude/skills/a-share-screener in nicepkg/ai-workflow) into .claude/skills/a-share-screener in your project. Claude Code loads it when a task matches its description.
How do I install A Share Screener in Codex?
Run `npx skills add nicepkg/ai-workflow --skill a-share-screener -a codex`. Or copy the skill folder (workflows/stock-trader-workflow/.claude/skills/a-share-screener in nicepkg/ai-workflow) into .agents/skills/a-share-screener in your project. Codex loads it when a task matches its description.
Can I use A Share Screener 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 nicepkg/ai-workflow --skill a-share-screener -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/a-share-screener, .gemini/skills/a-share-screener, .github/skills/a-share-screener and .opencode/skills/a-share-screener in your project.
What does A Share Screener need to run?
SKILL.md names no scripts, command-line tools or credentials: A Share Screener is instructions for the agent only.
Does A Share Screener 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 A Share Screener 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 A Share Screener use?
A Share Screener 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 A Share Screener use?
About 1.5k tokens (SKILL.md is roughly 5.9k 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 A Share Screener?
Skills that share tags, products or a category with A Share Screener: Tushare Data (zillionare/zillionare, 322 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars), Digital Oracle (komako-workshop/digital-oracle, 878 stars) and Worth Buy Stocks (starriv/worth-buy-stocks, 175 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains A Share Screener?
nicepkg (a GitHub organization) maintains it in nicepkg/ai-workflow, which has 285 GitHub stars. The repository holds 75 skills in this directory. The repository was last updated on January 20, 2026.
Source: nicepkg/ai-workflow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.