Guide · Agent skill
How to use the 龙虎榜 Analyzer (lhb-analyzer) agent skill
Updated · written with AI from the project's own documentation and checked against our catalogue data
lhb-analyzer is an agent skill for Claude that analyses China A-share stocks using the Dragon-Tiger List (龙虎榜), the exchange's daily disclosure of the largest trading seats on a given stock. It is written for readers who follow A-share short-term trading or study hot-money behaviour. After this guide you will know what the skill does, how to install it, how to phrase requests so it triggers, and what limits to keep in mind before reading its output.
龙虎榜 Analyzer (LHB Analyzer)wbh604/UZI-Skill · MIT Download the skill Quick start
- 1Download and unzip. Download the lhb-analyzer ZIP from this page and unzip it so the folder contains SKILL.md.
- 2Place the folder. Move the lhb-analyzer folder into ~/.claude/skills/ for personal use or into a project's .claude/skills/ folder.
- 3Or upload in the Claude apps. In the Claude apps, go to Settings → Capabilities → Skills and upload the skill.
- 4Check the scripts. Confirm that scripts/fetch_lhb.py and lib/seat_db.py exist and that you are comfortable with what they do, since they are not included in the provided files.
- 5Ask with a ticker. Ask a question such as 谁在买这只票 with the stock code or name included.
- 6Read the markdown report. Review the hot-money table, the institution-versus-hot-money totals, and the peer ranking before reading the one-line conclusion.
What the lhb-analyzer skill makes the agent do
An agent skill is a folder of instructions and optional scripts that the agent loads when a request matches the skill's description. This one covers the Dragon-Tiger List for A-shares. When triggered, the agent fetches the list data for a stock, matches the brokerage seats against a database of about 22 well-known hot-money trader seats, checks whether each trader is within range, and compares the stock with peers on the same board.
The output is a structured markdown report. It contains a count of recent Dragon-Tiger List appearances, the hot-money seats identified, an institution-versus-speculator net-buying comparison, a peer ranking table, and a one-line conclusion.
- Identifies named hot-money seats (for example 章盟主 or 赵老哥) in the list data
- Shows whether each seat is 'in range' and its buy or sell amount
- Compares institutional and hot-money net buying and names the dominant side
- Ranks the stock against same-board peers
Install the lhb-analyzer skill from the ZIP
Download the ZIP of the skill from this page and unzip it. To make it available in Claude Code for your user account, place the folder in ~/.claude/skills/. To scope it to one project, place it in that project's .claude/skills/ folder. The skill folder should contain SKILL.md, plus the references and assets folders.
If you use the Claude apps instead, upload the skill under Settings → Capabilities → Skills.
- Personal: ~/.claude/skills/lhb-analyzer/
- Project only: .claude/skills/lhb-analyzer/ inside your project
- Claude apps: Settings → Capabilities → Skills, then upload
~/.claude/skills/lhb-analyzer/Trigger the skill with natural requests
You do not need a special command. The skill's description lists the kinds of questions it is meant for, so ask in those terms. Include the stock code or name so the agent knows which ticker to fetch.
The description names these patterns: who is buying a stock, how the recent Dragon-Tiger List looks, whether a named hot-money trader has appeared on it, and whether a stock belongs to a particular trader.
- 谁在买这只票？ (Who is buying this stock?)
- 最近龙虎榜怎么样？ (How is the recent Dragon-Tiger List?)
- X游资有没有上榜？ (Has hot-money trader X appeared on the list?)
- 这是不是X的票？ (Is this one of X's stocks?)
Read the report and what it can and cannot tell you
Start with the hot-money table. The 'in range' column is the skill's own heuristic label for whether a trader is currently active on the stock. The institution-versus-hot-money section shows which side dominates net buying. The peer table shows where the stock ranks by appearances and cumulative gain on its board.
The final line is a short judgement written in confident wording. Treat it as a summary of the data the skill used, not as a conclusion you should act on. The seat-encyclopedia reference describes each trader's style in Chinese, and it is the place to check what a label is based on.
- Seat labels are heuristic, not verified identities of who placed each order
- Peer ranking depends on the data the fetch step returns
Safety notes: scripts and network access
This skill runs scripts and uses the network. Its workflow calls scripts/fetch_lhb.py and lib/seat_db.py, which need Python. Those two files are referenced by SKILL.md but are not included in the files this page provides, so check what is in your download before running anything. The fetch script's data source is not shown in the provided files, so you should confirm where it sends requests.
The skill is a market-analysis aid, not a trading recommendation. Do not place trades based only on its verdict.
- Requires Python to run the referenced scripts
- Confirm the contents of scripts/fetch_lhb.py and lib/seat_db.py before running them
- Network access is needed to fetch Dragon-Tiger List data from a Chinese market source
- Output is not investment advice
Tips for getting useful results
Ask about one stock at a time and include its ticker code, since the fetch step is keyed on the ticker. If you want context on a specific trader, ask about that trader by name so the agent can consult the seat reference.
Use the report to see patterns over time, such as how often a seat appears, rather than reading a single day's verdict in isolation.
- Give the 6-digit ticker or the stock name
- Ask about a named trader to focus the seat check
- Compare the same stock across several days of Dragon-Tiger List data
What people use it for
- Checking which known hot-money seats appeared on a stock's recent Dragon-Tiger List entries
- Comparing institutional and speculative net buying on a stock listed on the board
- Ranking a stock against same-board peers by appearances and cumulative gain
- Studying how a named trader's seats behave across several days of list data
- Using the report structure as a template for a structured Chinese market report
Frequently asked questions
What is lhb-analyzer?
lhb-analyzer is an agent skill that analyses China A-share stocks using Dragon-Tiger List data. It identifies known hot-money seats, compares institutional and speculative net buying, and ranks the stock against peers on the same board. It produces a markdown report.
How do I install the lhb-analyzer skill?
Download the ZIP from this page and unzip it into ~/.claude/skills/ for personal use, or into a project's .claude/skills/ folder. In the Claude apps, upload it under Settings → Capabilities → Skills.
What do I need to run it?
You need Python to run scripts/fetch_lhb.py and lib/seat_db.py, plus network access to a Chinese market data source. Those two Python files are referenced but not included in the provided files, so they must be added before the workflow can run.
Is lhb-analyzer free to use?
The skill is released under the MIT licence, as stated in its SKILL.md. The source does not mention pricing for any data source it calls, so check those separately.
Does this skill give stock picks or trading advice?
No. It is described as a market-analysis aid, not a trading recommendation. Its seat labels are heuristic and its wording is confident, so do not act on its verdict alone.
How does it compare with other stock analysis skills?
The source does not compare it with other tools. Its distinguishing feature is its focus on named A-share hot-money seats from the Dragon-Tiger List and its use of a seat reference document.
New agent skills, repos and AI tools — every week
The best new skills and open-source projects, the fastest-growing repos, and one free prompt. Five minutes to read. Unsubscribe anytime.
Our verdict
Use lhb-analyzer if you follow China A-share short-term trading and want a quick, structured seat-level breakdown, or if you are studying hot-money behaviour. Pick something else if you need investment advice, non-China market coverage, or an output you can act on without independent checking.
Download the skill