Agent skill

Chenhao Limit Up

by questflowai in questflowai/investorskills

A skill your agent uses when evaluating A-share limit-up (涨停板) setups through Chen Hao's sentiment and momentum lens: market emotion cycles, board strength, follow-through, and short-term aggressive…

MITAuto-check passedBusiness, Finance & HR

Install Chenhao Limit Up

skills CLI
$ npx skills add questflowai/investorskills --skill chenhao-limit-up -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install questflowai/investorskills chenhao-limit-up --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/questflowai/investorskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/chenhao-limit-up .claude/skills/chenhao-limit-up && rm -rf skills-src

Use ~/.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/

Facts

Skill name
chenhao-limit-up
GitHub stars
1.9k
Token cost
~454 tokens
SKILL.md length
181 words
Files
2
Skills in repo
63
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when evaluating A-share limit-up (涨停板) setups through Chen Hao's sentiment and momentum lens: market emotion cycles, board strength, follow-through, and short-term aggressive…

  • Works in 4 steps: Diagnose market sentiment cycle: fear,… → Rank board/sector strength and identify… → Judge limit-up quality: genuine demand… → …
  • Evaluating A-share limit-up (涨停板) setups through Chen Haos sentiment and momentum lens: market emotion cycles
  • SKILL.md covers When To Use, Do Not Use When, Inputs Needed and Process, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Chenhao Limit Up is an agent skill from questflowai/investorskills. Use when evaluating A-share limit-up (涨停板) setups through Chen Hao's sentiment and momentum lens: market emotion cycles, board strength, follow-through, and short-term aggressive momentum trading.

Its SKILL.md is about 450 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 A-share limit-up (涨停板) setups through Chen Haos sentiment and momentum lens: market emotion cycles
  • Short-term aggressive momentum trading

Example prompts

  • “/chenhao-limit-up”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Diagnose market sentiment cycle: fear, recovery, greed, euphoria.
  2. Rank board/sector strength and identify the leader.
  3. Judge limit-up quality: genuine demand vs retail chasing.
  4. Define entry, follow-through confirmation, and exit.

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

Chenhao Limit Up loads about 454 tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 181 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~53
When it runs · the whole SKILL.md, loaded when a task matches
~454

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). 181 words, ~454 tokens.

Download SKILL.mdSave it as .claude/skills/chenhao-limit-up/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
chenhao-limit-up
description
Use when evaluating A-share limit-up (涨停板) setups through Chen Hao's sentiment and momentum lens: market emotion cycles, board strength, follow-through, and short-term aggressive momentum trading.
invest
./invest.md

Chen Hao Limit-Up Sentiment

Use this skill to apply Chen Hao / 陈浩-style judgment.

When To Use

Use this skill when the user asks for:

  • A股涨停板 analysis
  • market sentiment cycle diagnosis
  • board strength and follow-through
  • Chen Hao-style aggressive momentum

Trigger phrases include 陈浩, Chen Hao, 涨停板, limit up A股, 市场情绪, 板强, 情绪周期.

Do Not Use When

  • Another skill fits better.
  • Critical data for this model is missing.
  • The user wants guaranteed returns or unbounded leverage.
  • The request is generic chatter with no decision.

Inputs Needed

  • Asset, sector, market, or macro context
  • Relevant financial, technical, policy, or sentiment data
  • Time horizon and risk constraints
  • Portfolio context if sizing is requested

Process

  1. Diagnose market sentiment cycle: fear, recovery, greed, euphoria.
  2. Rank board/sector strength and identify the leader.
  3. Judge limit-up quality: genuine demand vs retail chasing.
  4. Define entry, follow-through confirmation, and exit.

Output Format

md
# Chen Hao Limit-Up Sentiment View: [Subject]

## Verdict
Aggressive Buy / Watch Board / Sentiment Cooling / Pass

## Thesis

## Evidence

## Risks

## Action Plan

## Invalidation

## Missing Data

Guardrails

  • Follow the skill process; do not free-style.
  • Separate facts, assumptions, and judgment.
  • Define invalidation before sizing.
  • Not financial advice.

Questflow Use

Use as a judgment module inside Questflow-style agent workflows. Reference readings/podcasts/videos after loading the skill.

© 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/chenhao-limit-up of questflowai/investorskills.

  • SKILL.md
  • invest.md

Open the folder on GitHubat commit 2844d78

Compare with similar skills

Chenhao Limit Up 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.

Chenhao Limit Up compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Chenhao Limit Up this skillquestflowai/investorskills1.9k—~454Automated safety check: PassMIT
Tushare Datazillionare/zillionare3212 repos~2.3kAutomated safety check: PassNone
Tradingview MCPatilaahmettaner/tradingview-mcp5k—~1.3kAutomated safety check: PassMIT
Digital Oraclekomako-workshop/digital-oracle875—~5.9kAutomated safety check: PassMIT
Polyclawchainstacklabs/polyclaw3591 repos~2kAutomated safety check: PassApache-2.0
Markdownfacioquo/stock-indicators-dotnet1.2k—~812Automated safety check: PassApache-2.0

Similar skills

  • 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。

    321 GitHub starsUsed in 2 repos~2.3k tokens
    Business, Finance & HRAuto-check passed
  • 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…

    5k GitHub stars~1.3k tokensUpdated yesterday
    Business, Finance & HRAuto-check passed
  • Digital Oracle

    komako-workshop/digital-oracle

    Answer prediction questions using market trading data, not opinions.

    875 GitHub stars~5.9k tokensUpdated 2 mo ago
    Business, Finance & HRAuto-check passed
  • Polyclaw

    chainstacklabs/polyclaw

    Trade on Polymarket via split + CLOB execution. An agent skill from chainstacklabs/polyclaw.

    359 GitHub starsUsed in 1 repo~2k tokens
    Business, Finance & HRAuto-check passed
  • 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…

    1.2k GitHub stars~812 tokensUpdated today
    Business, Finance & HRAuto-check passed
  • Openmobius Skill

    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.

    695 GitHub stars~7.2k tokensUpdated 1 mo ago
    Business, Finance & HRAuto-check passed

More from questflowai/investorskills

All 63 skills in this repo
  • A16z 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…

    1.9k GitHub stars~512 tokensUpdated 1 mo ago
    Auto-check passed
  • 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.

    1.9k GitHub stars~491 tokensUpdated 1 mo ago
    Auto-check passed
  • 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…

    1.9k GitHub stars~793 tokensUpdated 1 mo ago
    Auto-check passed
  • 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.

    1.9k GitHub stars~449 tokensUpdated 1 mo ago
    Auto-check passed
  • 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.

    1.9k GitHub stars~617 tokensUpdated 1 mo ago
    Auto-check passed
  • 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…

    1.9k GitHub stars~495 tokensUpdated 1 mo ago
    Auto-check passed

Questions about Chenhao Limit Up

What does Chenhao Limit Up do?

A skill your agent uses when evaluating A-share limit-up (涨停板) setups through Chen Hao's sentiment and momentum lens: market emotion cycles, board strength, follow-through, and short-term aggressive…. Chenhao Limit Up is an agent skill from questflowai/investorskills. Use when evaluating A-share limit-up (涨停板) setups through Chen Hao's sentiment and momentum lens: market emotion cycles, board strength, follow-through, and short-term aggressive momentum trading.

When should I use Chenhao Limit Up?

Chenhao Limit Up fits situations like: evaluating A-share limit-up (涨停板) setups through Chen Haos sentiment and momentum lens: market emotion cycles; short-term aggressive momentum trading.

How do I install Chenhao Limit Up in Claude Code?

Run `npx skills add questflowai/investorskills --skill chenhao-limit-up -a claude-code`. Or copy the skill folder (skills/chenhao-limit-up in questflowai/investorskills) into .claude/skills/chenhao-limit-up in your project. Claude Code loads it when a task matches its description.

How do I install Chenhao Limit Up in Codex?

Run `npx skills add questflowai/investorskills --skill chenhao-limit-up -a codex`. Or copy the skill folder (skills/chenhao-limit-up in questflowai/investorskills) into .agents/skills/chenhao-limit-up in your project. Codex loads it when a task matches its description.

Can I use Chenhao Limit Up 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 chenhao-limit-up -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/chenhao-limit-up, .gemini/skills/chenhao-limit-up, .github/skills/chenhao-limit-up and .opencode/skills/chenhao-limit-up in your project.

What does Chenhao Limit Up need to run?

SKILL.md names no scripts, command-line tools or credentials: Chenhao Limit Up is instructions for the agent only.

Does Chenhao Limit Up 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 Chenhao Limit Up 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 Chenhao Limit Up use?

Chenhao Limit Up 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 Chenhao Limit Up use?

About 454 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 Chenhao Limit Up?

Skills that share tags, products or a category with Chenhao Limit Up: Tushare Data (zillionare/zillionare, 321 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars), Digital Oracle (komako-workshop/digital-oracle, 875 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.

Who maintains Chenhao Limit Up?

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.