Longbridge Earnings
helsome/folio
Earnings analysis — pre- and post-earnings. An agent skill from helsome/folio.
A股量化选股/股票筛选器。当用户说"选股"、"筛选"、"量化选股"、"stock screen"、"找机会"、"什么股票值得关注"、"帮我选几只股票"、"符合XX条件的股票"时触发。支持多因子筛选（PE/PB/ROE/净利润增速/北向资金等）、行业板块筛选、自定义条件组合。通过 cn-stock-data…
Install A Share Stock Screen
$ npx skills add aifinlab/FinClaw --skill a-share-stock-screen -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aifinlab/FinClaw a-share-stock-screen --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/aifinlab/FinClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/a-share-stock-screen .claude/skills/a-share-stock-screen && 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-stock-screen" agent skill from https://github.com/aifinlab/FinClaw/tree/main/skills/a-share-stock-screen into .claude/skills/a-share-stock-screen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "a-share-stock-screen", 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/aifinlab/FinClaw/tree/main/skills/a-share-stock-screenType 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 aifinlab/FinClaw --skill a-share-stock-screen -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aifinlab/FinClaw a-share-stock-screen --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aifinlab/FinClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/a-share-stock-screen .agents/skills/a-share-stock-screen && 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-stock-screen" agent skill from https://github.com/aifinlab/FinClaw/tree/main/skills/a-share-stock-screen into .agents/skills/a-share-stock-screen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "a-share-stock-screen", 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 aifinlab/FinClaw --skill a-share-stock-screen -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aifinlab/FinClaw a-share-stock-screen --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aifinlab/FinClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/a-share-stock-screen .cursor/skills/a-share-stock-screen && 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-stock-screen" agent skill from https://github.com/aifinlab/FinClaw/tree/main/skills/a-share-stock-screen into .cursor/skills/a-share-stock-screen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "a-share-stock-screen", 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/aifinlab/FinClaw.git --path skills/a-share-stock-screen--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 aifinlab/FinClaw --skill a-share-stock-screen -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aifinlab/FinClaw a-share-stock-screen --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aifinlab/FinClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/a-share-stock-screen .gemini/skills/a-share-stock-screen && 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-stock-screen" agent skill from https://github.com/aifinlab/FinClaw/tree/main/skills/a-share-stock-screen into .gemini/skills/a-share-stock-screen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "a-share-stock-screen", 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 aifinlab/FinClaw a-share-stock-screenInstalls 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 aifinlab/FinClaw --skill a-share-stock-screen -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aifinlab/FinClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/a-share-stock-screen .github/skills/a-share-stock-screen && 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-stock-screen" agent skill from https://github.com/aifinlab/FinClaw/tree/main/skills/a-share-stock-screen into .github/skills/a-share-stock-screen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "a-share-stock-screen", 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 aifinlab/FinClaw --skill a-share-stock-screen -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aifinlab/FinClaw a-share-stock-screen --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aifinlab/FinClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/a-share-stock-screen .opencode/skills/a-share-stock-screen && 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-stock-screen" agent skill from https://github.com/aifinlab/FinClaw/tree/main/skills/a-share-stock-screen into .opencode/skills/a-share-stock-screen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "a-share-stock-screen", 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-stock-screen- GitHub stars
- 255
- Token cost
- ~534 tokens
- SKILL.md length
- 146 words
- Files
- 3 (incl. scripts, references)
- Skills in repo
- 74
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
A股量化选股/股票筛选器。当用户说"选股"、"筛选"、"量化选股"、"stock screen"、"找机会"、"什么股票值得关注"、"帮我选几只股票"、"符合XX条件的股票"时触发。支持多因子筛选（PE/PB/ROE/净利润增速/北向资金等）、行业板块筛选、自定义条件组合。通过 cn-stock-data…
- Works in 5 steps: 明确筛选条件 → 数据获取与筛选 → 结果整理 → …
- Tasks that involve Financial analysis
- SKILL.md covers 数据源, Workflow, 风格说明 and 输出格式
- Runs Python scripts from its folder; calls python
What it does
A Share Stock Screen is an agent skill from aifinlab/FinClaw. A股量化选股/股票筛选器。当用户说"选股"、"筛选"、"量化选股"、"stock screen"、"找机会"、"什么股票值得关注"、"帮我选几只股票"、"符合XX条件的股票"时触发。支持多因子筛选（PE/PB/ROE/净利润增速/北向资金等）、行业板块筛选、自定义条件组合。通过 cn-stock-data 获取全市场数据进行量化筛选，输出候选股票列表。支持投资建议书风格（formal）和个人备选池风格（brief）。不适用于个股深度分析（用 a-share-earnings-analysis）或可比公司估值对标（用 a-share-comps）。
Its SKILL.md is about 530 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts and reference files (for example `references/default-factors.md` and `scripts/screen_engine.py`).
It sits in Business, Finance & HR, covering Financial analysis. The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Financial analysis
Example prompts
- “stock screen”
- “什么股票值得关注”
- “帮我选几只股票”
- “/a-share-stock-screen”
Requirements
- Python 3
Workflow steps
5 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 9e62862. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
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 Stock Screen loads about 534 tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 74 tokens; SKILL.md has 146 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); the scripts in this folder are not scanned.
SKILL.md
The full file from aifinlab/FinClaw at commit 9e62862, republished under its Apache-2.0 licence (© aifinlab). 146 words, ~534 tokens.
Download SKILL.mdSave it as
.claude/skills/a-share-stock-screen/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- a-share-stock-screen
- description
- A股量化选股/股票筛选器。当用户说"选股"、"筛选"、"量化选股"、"stock screen"、"找机会"、"什么股票值得关注"、"帮我选几只股票"、"符合XX条件的股票"时触发。支持多因子筛选（PE/PB/ROE/净利润增速/北向资金等）、行业板块筛选、自定义条件组合。通过 cn-stock-data 获取全市场数据进行量化筛选，输出候选股票列表。支持投资建议书风格（formal）和个人备选池风格（brief）。不适用于个股深度分析（用 a-share-earnings-analysis）或可比公司估值对标（用 a-share-comps）。
A 股量化选股
数据源
SCRIPTS="$SKILLS_ROOT/cn-stock-data/scripts"
# 全市场实时行情（含市值、PE、换手率等）
python "$SCRIPTS/cn_stock_data.py" quote --code [逗号分隔的代码列表]
# 个股财务指标
python "$SCRIPTS/cn_stock_data.py" finance --code [CODE]
# 北向资金
python "$SCRIPTS/cn_stock_data.py" north_flow
# 资金流向
python "$SCRIPTS/cn_stock_data.py" fund_flow --code [CODE]使用 scripts/screen_engine.py 进行批量筛选：
python $SKILLS_ROOT/a-share-stock-screen/scripts/screen_engine.py \
--min-roe 15 --max-pe 30 --min-profit-growth 20 --top 20Workflow
Step 1: 明确筛选条件
如果用户给出了明确条件（如"PE < 20 且 ROE > 15%"），直接使用。 如果用户给出模糊需求（如"帮我选几只好股票"），使用默认策略：
默认多因子策略（参见 references/default-factors.md）：
- ROE > 15%（盈利能力好）
- 净利润同比增速 > 20%（成长性好）
- 资产负债率 < 60%（财务健康）
- PE < 行业中位数（估值合理）
- 近 30 日主力净流入 > 0（资金认可）
用户也可以选择预设策略：
- 价值策略: 低 PE + 低 PB + 高股息率
- 成长策略: 高收入增速 + 高利润增速 + 合理 PE
- GARP 策略: PEG < 1（PE/净利润增速 < 1）
- 北向资金策略: 近期北向资金持续净买入
Step 2: 数据获取与筛选
运行 screen_engine.py 或通过 cn-stock-data 逐步获取数据：
- 获取全市场股票列表（通过 adata 的 all_code）
- 获取各股财务指标
- 应用筛选条件
- 按综合得分排序
注意：全市场筛选数据量大，优先使用 screen_engine.py 脚本批量处理。 如果脚本不可用，可分批次通过 cn-stock-data 获取重点行业数据。
Step 3: 结果整理
对筛选出的 Top 10-20 只股票：
- 列出关键指标对比表
- 每只股票附 1-2 句概要（行业 + 核心亮点）
- 按综合评分排序
Step 4: 输出
根据风格要求输出：
- formal: 完整的投资建议书格式，含策略说明、筛选方法论、详细对比表
- brief: 简洁候选列表，直奔数据
Step 5: 可选深入
用户可以要求对列表中任一只做深度分析，此时转交 a-share-earnings-analysis skill。
风格说明
| 维度 | formal（投资建议书） | brief（个人备选池） |
|---|---|---|
| 篇幅 | 3-5 页 | 1 页 |
| 策略说明 | 详述筛选方法论和因子选择理由 | 一句话策略说明 |
| 对比表 | 完整（10+ 列指标） | 精简（5-6 列关键指标） |
| 个股概要 | 每只 3-5 句 | 每只 1 句 |
| 免责声明 | 需要 | 不需要 |
输出格式
对比表必含字段
| 代码 | 名称 | 行业 | 市值(亿) | PE(TTM) | PB | ROE(%) | 净利润YoY(%) | 毛利率(%) | 评分 |
formal 模式额外字段
| 资产负债率(%) | 经营现金流/利润 | 北向持仓变化 | 近30日涨跌幅(%) |
© aifinlab, 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
Files
SKILL.md and 2 other files (scripts, references) in skills/a-share-stock-screen of aifinlab/FinClaw.
- SKILL.md
- references/default-factors.md
- scripts/screen_engine.py
Open the folder on GitHubat commit 9e62862
Compare with similar skills
A Share Stock Screen 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 Stock Screen this skillaifinlab/FinClaw | 255 | — | ~534 | Automated safety check: Pass | Apache-2.0 | |
| Longbridge Earningshelsome/folio | 271 | 1 repos | ~2.5k | Automated safety check: Pass | None | |
| Financial Analyzinghuangjia2019/claude-code-engineering | 1.1k | — | ~474 | Automated safety check: Pass | None | |
| Earnings AnalysisWind-Alice/AliceMarket | 134 | 3 repos | ~2.2k | Automated safety check: Pass | None | |
| Buy Side Equity Research Memohaskaomni/serenity-skill | 633 | — | ~3.8k | Automated safety check: Pass | MIT | |
| Longbridgehelsome/folio | 271 | 1 repos | ~1.9k | Automated safety check: Pass | None |
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Related
Categories
Questions about A Share Stock Screen
What does A Share Stock Screen do?
A股量化选股/股票筛选器。当用户说"选股"、"筛选"、"量化选股"、"stock screen"、"找机会"、"什么股票值得关注"、"帮我选几只股票"、"符合XX条件的股票"时触发。支持多因子筛选（PE/PB/ROE/净利润增速/北向资金等）、行业板块筛选、自定义条件组合。通过 cn-stock-data…. A Share Stock Screen is an agent skill from aifinlab/FinClaw.
When should I use A Share Stock Screen?
A Share Stock Screen fits situations like: tasks that involve Financial analysis.
How do I install A Share Stock Screen in Claude Code?
Run `npx skills add aifinlab/FinClaw --skill a-share-stock-screen -a claude-code`. Or copy the skill folder (skills/a-share-stock-screen in aifinlab/FinClaw) into .claude/skills/a-share-stock-screen in your project. Claude Code loads it when a task matches its description.
How do I install A Share Stock Screen in Codex?
Run `npx skills add aifinlab/FinClaw --skill a-share-stock-screen -a codex`. Or copy the skill folder (skills/a-share-stock-screen in aifinlab/FinClaw) into .agents/skills/a-share-stock-screen in your project. Codex loads it when a task matches its description.
Can I use A Share Stock Screen 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 aifinlab/FinClaw --skill a-share-stock-screen -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-stock-screen, .gemini/skills/a-share-stock-screen, .github/skills/a-share-stock-screen and .opencode/skills/a-share-stock-screen in your project.
What does A Share Stock Screen need to run?
Going by SKILL.md and its folder, A Share Stock Screen needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does A Share Stock Screen 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 Stock Screen 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does A Share Stock Screen use?
A Share Stock Screen 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.
How many tokens does A Share Stock Screen use?
About 534 tokens (SKILL.md is roughly 2.1k 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 726 tokens, read only when the agent opens those files.
What are the alternatives to A Share Stock Screen?
Skills that share tags, products or a category with A Share Stock Screen: Longbridge Earnings (helsome/folio, 271 stars), Financial Analyzing (huangjia2019/claude-code-engineering, 1.1k stars), Earnings Analysis (Wind-Alice/AliceMarket, 134 stars) and Buy Side Equity Research Memo (haskaomni/serenity-skill, 633 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains A Share Stock Screen?
aifinlab (a GitHub user) maintains it in aifinlab/FinClaw, which has 255 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on May 13, 2026.
Source: aifinlab/FinClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.