Multi-Symbol Market Scanner
tradesdontlie/tradingview-mcp
Scans a list of trading symbols in TradingView for setups, patterns or strategy results and reports them as a ranked comparison table.
Analyzes a stock's Dragon Tiger List (龙虎榜) appearances, identifies hot-money seats, weighs institutions against them and compares peers in the same sector.
SKILL.md written in Chinese; this summary is our English description.
Install Dragon Tiger List Analyzer
$ npx skills add wbh604/UZI-Skill --skill lhb-analyzer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install wbh604/UZI-Skill lhb-analyzer --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/wbh604/UZI-Skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/lhb-analyzer .claude/skills/lhb-analyzer && 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 "lhb-analyzer" agent skill from https://github.com/wbh604/UZI-Skill/tree/main/skills/lhb-analyzer into .claude/skills/lhb-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lhb-analyzer", 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/wbh604/UZI-Skill/tree/main/skills/lhb-analyzerType 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 wbh604/UZI-Skill --skill lhb-analyzer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install wbh604/UZI-Skill lhb-analyzer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wbh604/UZI-Skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/lhb-analyzer .agents/skills/lhb-analyzer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "lhb-analyzer" agent skill from https://github.com/wbh604/UZI-Skill/tree/main/skills/lhb-analyzer into .agents/skills/lhb-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lhb-analyzer", 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 wbh604/UZI-Skill --skill lhb-analyzer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install wbh604/UZI-Skill lhb-analyzer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wbh604/UZI-Skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/lhb-analyzer .cursor/skills/lhb-analyzer && 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 "lhb-analyzer" agent skill from https://github.com/wbh604/UZI-Skill/tree/main/skills/lhb-analyzer into .cursor/skills/lhb-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lhb-analyzer", 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/wbh604/UZI-Skill.git --path skills/lhb-analyzer--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 wbh604/UZI-Skill --skill lhb-analyzer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install wbh604/UZI-Skill lhb-analyzer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wbh604/UZI-Skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/lhb-analyzer .gemini/skills/lhb-analyzer && 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 "lhb-analyzer" agent skill from https://github.com/wbh604/UZI-Skill/tree/main/skills/lhb-analyzer into .gemini/skills/lhb-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lhb-analyzer", 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 wbh604/UZI-Skill lhb-analyzerInstalls 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 wbh604/UZI-Skill --skill lhb-analyzer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/wbh604/UZI-Skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/lhb-analyzer .github/skills/lhb-analyzer && 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 "lhb-analyzer" agent skill from https://github.com/wbh604/UZI-Skill/tree/main/skills/lhb-analyzer into .github/skills/lhb-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lhb-analyzer", 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 wbh604/UZI-Skill --skill lhb-analyzer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install wbh604/UZI-Skill lhb-analyzer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wbh604/UZI-Skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/lhb-analyzer .opencode/skills/lhb-analyzer && 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 "lhb-analyzer" agent skill from https://github.com/wbh604/UZI-Skill/tree/main/skills/lhb-analyzer into .opencode/skills/lhb-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lhb-analyzer", 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
lhb-analyzer- GitHub stars
- 7.1k
- Token cost
- ~265 tokens
- SKILL.md length
- 30 words
- Files
- 3 (incl. references, assets)
- Skills in repo
- 5
- Repo updated
- First seen
- Licence
- MIT
At a glance
Analyzes a stock's Dragon Tiger List (龙虎榜) appearances, identifies hot-money seats, weighs institutions against them and compares peers in the same sector.
- Works in 4 steps: 调用 scripts/fetch_lhb.py {ticker} 拿到原始龙虎榜数据 → 调用 lib/seat_db.py::match_seats_in_lhb()… → 用 lib/seat_db.py::is_in_range()… → …
- Finding out which seats are buying a stock on the Dragon Tiger List
- SKILL.md covers 调用上下文, 数据流, 输出 markdown 结构 and 参考资料
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Given a stock code or name, the agent pulls raw list data with a fetch script, matches the trading seats against a hot-money seat database, and checks whether the identified trader is within range for that stock. It then fetches the same-sector lists to find the recognizable leading stock. The result is a markdown report that opens with how often the stock appeared over the last 30 days, followed by seat identification and a same-sector comparison.
Reference material includes a seat encyclopedia covering 22 hot-money seats and a JSON seat file for 2026. The questions it is meant to answer are who is buying a stock, how its list has looked recently, whether a named trader has appeared, and whether a stock belongs to that trader. The SKILL.md is short and mostly describes the data flow and the structure of the output.
When your agent uses it
- Finding out which seats are buying a stock on the Dragon Tiger List
- Judging whether institutions or hot-money traders are driving a stock
- Checking whether a named hot-money trader has appeared on a stock's list
- Comparing a stock's list appearances with others in the same sector
Example prompts
- “Who has been buying Kweichow Moutai on the Dragon Tiger List recently?”
- “Is this stock a favorite of a known hot-money trader? Check the seats and compare with its sector.”
Requirements
- Python to run the list-fetching script
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- 调用 scripts/fetch_lhb.py {ticker} 拿到原始龙虎榜数据
- 调用 lib/seat_db.py::match_seats_in_lhb() 识别游资席位
- 用 lib/seat_db.py::is_in_range() 判断该游资是否在射程内
- 拉取同板块龙虎榜对比（找辨识度龙头）
What it can do on your machine
Read from SKILL.md and the folder at commit 650788c. 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
Dragon Tiger List Analyzer loads about 265 tokens when it runs, and up to ~1.4k if it reads all its reference files. Until then it costs about 25 tokens; SKILL.md has 30 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 wbh604/UZI-Skill at commit 650788c, republished under its MIT licence (© wbh604). 30 words, ~265 tokens.
Download SKILL.mdSave it as
.claude/skills/lhb-analyzer/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- lhb-analyzer
- description
- 龙虎榜深度分析器。识别游资席位、判断机构 vs 游资博弈、对照同板块龙虎榜找辨识度龙头。当用户问"谁在买这只票/最近龙虎榜怎么样/X游资有没有上榜/这是不是X的票"时使用。
- version
- 3.9.4
- author
- FloatFu-true
- license
- MIT
龙虎榜深度分析
调用上下文
输入：股票代码或个股名 输出：龙虎榜分析 + 游资识别 + 同板块对比
数据流
- 调用
scripts/fetch_lhb.py {ticker}拿到原始龙虎榜数据 - 调用
lib/seat_db.py::match_seats_in_lhb()识别游资席位 - 用
lib/seat_db.py::is_in_range()判断该游资是否在射程内 - 拉取同板块龙虎榜对比（找辨识度龙头）
输出 markdown 结构
# {name} ({ticker}) 龙虎榜分析
## 📅 近 30 天上榜 X 次
(列表)
## 🐉 识别到的游资 (Y 位)
| 游资 | 风格 | 在不在射程 | 买入 / 卖出 |
|---|---|---|---|
| 章盟主 | 大资金趋势 | ✅ 在射程 | 买 1.2 亿 |
| 佛山无影脚 | 一日游 | ❌ 不在 | 卖 0.3 亿 (反向预警) |
## ⚖️ 机构 vs 游资
- 机构净买入: ¥X 亿
- 游资净买入: ¥Y 亿
- 主导方: {机构 / 游资}
## 🏆 同板块辨识度龙头
| 排名 | 代码 | 名称 | 上榜次数 | 累计涨幅 |
|---|---|---|---|---|
| 1 | ... | ... | ... | ... |
本股在板块中的位置: 第 N
## 💡 结论一句话
"这是一只机构主导 + 章盟主格局票，板块辨识度排第 2，可以跟。"参考资料
详细的 22 位游资席位百科见 references/seat-encyclopedia.md。
© wbh604, 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 2 other files (references, assets) in skills/lhb-analyzer of wbh604/UZI-Skill.
- SKILL.md
- assets/seats-2026.json
- references/seat-encyclopedia.md
Open the folder on GitHubat commit 650788c
Compare with similar skills
Dragon Tiger List Analyzer 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 |
|---|---|---|---|---|---|---|
| Dragon Tiger List Analyzer this skillwbh604/UZI-Skill | 7.1k | — | ~265 | Automated safety check: Pass | MIT | |
| Multi-Symbol Market Scannertradesdontlie/tradingview-mcp | 6.8k | 2 repos | ~447 | Automated safety check: Pass | Custom licence | |
| Serenity Supply-Chain Researchmuxuuu/serenity-skill | 4.1k | — | ~1.9k | Automated safety check: Pass | MIT | |
| AI-Trader Market IntelHKUDS/AI-Trader | 23k | — | ~1.1k | Automated safety check: Pass | None | |
| Eastmoney Market DataHKUDS/Vibe-Trading | 35k | — | ~1k | Automated safety check: Pass | MIT | |
| TradingView Chart Analysistradesdontlie/tradingview-mcp | 6.8k | 2 repos | ~515 | Automated safety check: Pass | Custom licence |
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Categories
Questions about Dragon Tiger List Analyzer
What does Dragon Tiger List Analyzer do?
Analyzes a stock's Dragon Tiger List (龙虎榜) appearances, identifies hot-money seats, weighs institutions against them and compares peers in the same sector. Given a stock code or name, the agent pulls raw list data with a fetch script, matches the trading seats against a hot-money seat database, and checks whether the identified trader is within range for that stock. It then fetches the same-sector lists to find the recognizable leading stock.
When should I use Dragon Tiger List Analyzer?
Dragon Tiger List Analyzer fits situations like: finding out which seats are buying a stock on the Dragon Tiger List; judging whether institutions or hot-money traders are driving a stock; checking whether a named hot-money trader has appeared on a stock's list; comparing a stock's list appearances with others in the same sector.
How do I install Dragon Tiger List Analyzer in Claude Code?
Run `npx skills add wbh604/UZI-Skill --skill lhb-analyzer -a claude-code`. Or copy the skill folder (skills/lhb-analyzer in wbh604/UZI-Skill) into .claude/skills/lhb-analyzer in your project. Claude Code loads it when a task matches its description.
How do I install Dragon Tiger List Analyzer in Codex?
Run `npx skills add wbh604/UZI-Skill --skill lhb-analyzer -a codex`. Or copy the skill folder (skills/lhb-analyzer in wbh604/UZI-Skill) into .agents/skills/lhb-analyzer in your project. Codex loads it when a task matches its description.
Can I use Dragon Tiger List Analyzer 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 wbh604/UZI-Skill --skill lhb-analyzer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lhb-analyzer, .gemini/skills/lhb-analyzer, .github/skills/lhb-analyzer and .opencode/skills/lhb-analyzer in your project.
What does Dragon Tiger List Analyzer need to run?
SKILL.md names no scripts, command-line tools or credentials: Dragon Tiger List Analyzer is instructions for the agent only. Our summary lists: Python to run the list-fetching script.
Does Dragon Tiger List Analyzer 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 Dragon Tiger List Analyzer 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 Dragon Tiger List Analyzer use?
Dragon Tiger List Analyzer is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Dragon Tiger List Analyzer use?
About 265 tokens (SKILL.md is roughly 1.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.1k tokens, read only when the agent opens those files.
What are the alternatives to Dragon Tiger List Analyzer?
Skills that share tags, products or a category with Dragon Tiger List Analyzer: Multi-Symbol Market Scanner (tradesdontlie/tradingview-mcp, 6.8k stars), Serenity Supply-Chain Research (muxuuu/serenity-skill, 4.1k stars), AI-Trader Market Intel (HKUDS/AI-Trader, 23k stars) and Eastmoney Market Data (HKUDS/Vibe-Trading, 35k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Dragon Tiger List Analyzer?
wbh604 (a GitHub user) maintains it in wbh604/UZI-Skill, which has 7,142 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on September 5, 2026.
Source: wbh604/UZI-Skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.