Share
ClickHouse/ClickHouse
Share a Claude Code session to pastila.nl and return a viewer link.
查询A股实时行情、历史数据、技术指标、事件、资金面、热门行业/概念、板块热力图与个股行业信息。Use when 用户提到股票代码、板块、热门概念、热门行业、概念涨跌、行业涨跌、热力图、市场快讯、技术分析、财务指标、指数成分、交易日历、宏观数据或个股所属行业。
$ npx skills add shouldnotappearcalm/a-share-skill --skill a-share-data -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install shouldnotappearcalm/a-share-skill a-share-data --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/shouldnotappearcalm/a-share-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/a-share-data .claude/skills/a-share-data && 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-data" agent skill from https://github.com/shouldnotappearcalm/a-share-skill/tree/main/a-share-data into .claude/skills/a-share-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "a-share-data", 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/shouldnotappearcalm/a-share-skill/tree/main/a-share-dataType 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 shouldnotappearcalm/a-share-skill --skill a-share-data -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install shouldnotappearcalm/a-share-skill a-share-data --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shouldnotappearcalm/a-share-skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/a-share-data .agents/skills/a-share-data && 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-data" agent skill from https://github.com/shouldnotappearcalm/a-share-skill/tree/main/a-share-data into .agents/skills/a-share-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "a-share-data", 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 shouldnotappearcalm/a-share-skill --skill a-share-data -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install shouldnotappearcalm/a-share-skill a-share-data --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shouldnotappearcalm/a-share-skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/a-share-data .cursor/skills/a-share-data && 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-data" agent skill from https://github.com/shouldnotappearcalm/a-share-skill/tree/main/a-share-data into .cursor/skills/a-share-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "a-share-data", 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/shouldnotappearcalm/a-share-skill.git --path a-share-data--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 shouldnotappearcalm/a-share-skill --skill a-share-data -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install shouldnotappearcalm/a-share-skill a-share-data --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shouldnotappearcalm/a-share-skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/a-share-data .gemini/skills/a-share-data && 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-data" agent skill from https://github.com/shouldnotappearcalm/a-share-skill/tree/main/a-share-data into .gemini/skills/a-share-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "a-share-data", 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 shouldnotappearcalm/a-share-skill a-share-dataInstalls 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 shouldnotappearcalm/a-share-skill --skill a-share-data -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/shouldnotappearcalm/a-share-skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/a-share-data .github/skills/a-share-data && 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-data" agent skill from https://github.com/shouldnotappearcalm/a-share-skill/tree/main/a-share-data into .github/skills/a-share-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "a-share-data", 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 shouldnotappearcalm/a-share-skill --skill a-share-data -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install shouldnotappearcalm/a-share-skill a-share-data --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shouldnotappearcalm/a-share-skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/a-share-data .opencode/skills/a-share-data && 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-data" agent skill from https://github.com/shouldnotappearcalm/a-share-skill/tree/main/a-share-data into .opencode/skills/a-share-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "a-share-data", 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.
a-share-data查询A股实时行情、历史数据、技术指标、事件、资金面、热门行业/概念、板块热力图与个股行业信息。Use when 用户提到股票代码、板块、热门概念、热门行业、概念涨跌、行业涨跌、热力图、市场快讯、技术分析、财务指标、指数成分、交易日历、宏观数据或个股所属行业。
A Share Data is an agent skill from shouldnotappearcalm/a-share-skill. 查询A股实时行情、历史数据、技术指标、事件、资金面、热门行业/概念、板块热力图与个股行业信息。Use when 用户提到股票代码、板块、热门概念、热门行业、概念涨跌、行业涨跌、热力图、市场快讯、技术分析、财务指标、指数成分、交易日历、宏观数据或个股所属行业。
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 15 other files, including scripts and reference files (for example `references/api-reference.md`, `references/danginvest-api-reference.md` and `scripts/Ashare.py`).
The repository describes itself as: A股数据分析、量化选股与模拟交易 Skill 集合,支持实时行情、历史K线、技术指标、自定义交易策略与模拟买入、卖出交易账户. The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 6eb8d32. It shows what the files ask for, not the result of running them.
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.
Ships 11 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3pipFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
A Share Data loads about 1.3k tokens when it runs, and up to ~5.2k if it reads all its reference files. Until then it costs about 36 tokens; SKILL.md has 122 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.
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.
The full file from shouldnotappearcalm/a-share-skill at commit 6eb8d32, republished under its MIT licence (© shouldnotappearcalm). 122 words, ~1,250 tokens.
.claude/skills/a-share-data/SKILL.md (or your agent's skills folder). This skill also uses 13 other files; get the full folder from GitHub.使用本技能时,优先调用本目录下脚本获取结构化数据,不依赖网页抓取。
支持能力:
fetch_danginvest.py;先读 references/danginvest-api-reference.md)fetch_sector_info.py,数据源东方财富;个股概念不稳定,见下)pip install akshare MyTT pandas numpy requestsSKILL_DIR="<本skill绝对路径>"
python3 "$SKILL_DIR/scripts/fetch_realtime.py" [参数]
python3 "$SKILL_DIR/scripts/fetch_history.py" [参数]
python3 "$SKILL_DIR/scripts/fetch_technical.py" [参数]
python3 "$SKILL_DIR/scripts/fetch_stock_events.py" [参数]
python3 "$SKILL_DIR/scripts/fetch_ah_stocks.py" [参数]
python3 "$SKILL_DIR/scripts/fetch_ah_ipo_timeline.py" [参数]
python3 "$SKILL_DIR/scripts/fetch_danginvest.py" [参数]
python3 "$SKILL_DIR/scripts/fetch_sector_info.py" [参数]说明:fetch_sector_info.py 虽可能带概念参数,但东方财富个股概念接口不稳定、常为空,使用时固定加 --no-concepts,只查行业与证券简称。市场级概念板块(涨跌幅、热力图、成分股)走 fetch_danginvest.py,不要与前者混用。
优先使用以下股票代码格式:
600519sh600519 / sz000001600519.XSHG按问题类型选脚本:
fetch_danginvest.py:热门概念、热门行业、行业涨跌幅、概念涨跌幅、板块热力图、板块成分股、7×24 市场快讯;参数与查询惯例见 references/danginvest-api-reference.mdfetch_realtime.py:实时价格、分钟线、指数、北向、龙虎榜、涨跌停、资金流、全市场行情、成交明细(--boards-* 仅兼容旧用法)fetch_history.py:历史K线、财务、业绩、分红、行业、指数成分、交易日历、宏观fetch_technical.py:MA/MACD/KDJ/RSI/BOLL等技术指标fetch_stock_events.py:业绩、增减持/回购、监管、重大合同、舆情方向fetch_ah_stocks.py:A+H 双重上市公司清单、H 股上市日期区间筛选fetch_ah_ipo_timeline.py:A股赴港上市关键事件节点(递表/聆讯/备案/招股/定价/配售/上市);支持 --code / --name 点查fetch_sector_info.py:单只或多只股票的行业与名称(东方财富);批量时并行,默认 --workers;仅文档化行业路径,不加概念references/danginvest-api-reference.md,再用 fetch_danginvest.py(勿用 fetch_realtime.py --boards-*):--json。fetch_history.py(已内置多源逻辑,K线链路为腾讯优先、新浪降级、东财兜底)。--all-stocks 已支持新浪/腾讯/雪球多源;若单一源失败,继续返回其他源合并结果。当任务是“批量拉取”时(实时个股列表 / 多只历史K线),默认并行,不逐只串行。
max_workers=8~12(默认 10)超时上限(硬限制):
30s30s60s超时/失败处理(强制):
# 实时(单只)
python3 fetch_realtime.py --quote 600519 --json
# 实时(多只,逗号分隔,最多10只)
python3 fetch_realtime.py --multi-quote 002491,002364,600519 --json
python3 fetch_realtime.py --index --json
python3 fetch_realtime.py --all-quote --sort change_pct_desc --top 50 --json
python3 fetch_realtime.py --tick 600519 --json
# 历史
python3 fetch_history.py --kline 600519 --start 2025-01-01 --end 2025-03-31 --freq d --json
python3 fetch_history.py --kline-batch 600519,000001,300750 --start 2025-10-01 --end 2026-03-31 --count 120 --workers 8 --retries 2 --json
python3 fetch_history.py --financials 600519 --start 2023-01-01 --end 2025-01-01 --json
python3 fetch_history.py --industry 300271 --with-boards --json
# 技术
python3 fetch_technical.py 600519 --freq 1d --count 120 --indicators MA,MACD,KDJ,RSI,BOLL --json
# 事件
python3 fetch_stock_events.py --code 300476 --name 胜宏科技 --dates 20250331,20241231 --limit 20 --json
# A+H 列表
python3 fetch_ah_stocks.py --json
python3 fetch_ah_stocks.py --since 2020-01-01 --until 2024-12-31 --json
# A股赴港上市关键节点
python3 fetch_ah_ipo_timeline.py --name 顺丰 --json
python3 fetch_ah_ipo_timeline.py --code 002352 --json
python3 fetch_ah_ipo_timeline.py --since 2020 --workers 4 --json
# 热门行业/热门概念/涨跌幅/快讯 → fetch_danginvest.py,见 references/danginvest-api-reference.md
# 个股行业(不加概念,见上文说明)
python3 fetch_sector_info.py --no-concepts --json 600519
python3 fetch_sector_info.py --workers 8 --no-concepts --timeout 15 --json 600519 000001 300750 600036 601318 002594 688981 300059fetch_danginvest.py,先读 references/danginvest-api-reference.md;勿用 fetch_realtime.py --boards-*。fetch_sector_info.py 的个股概念字段;市场级「热门概念/概念涨跌」走 fetch_danginvest.py,不是 sector_info。references/api-reference.mdreferences/danginvest-api-reference.md© shouldnotappearcalm, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 13 other files (scripts, references) in a-share-data of shouldnotappearcalm/a-share-skill.
Open the folder on GitHubat commit 6eb8d32
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in shouldnotappearcalm/a-share-skill, which our catalogue first saw on October 7, 2026.
A Share Data 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 Data this skillshouldnotappearcalm/a-share-skill | 243 | 1 repos | ~1.3k | Automated safety check: Pass | MIT | |
| ShareClickHouse/ClickHouse | 50k | — | ~558 | Automated safety check: Notes | Apache-2.0 | |
| SharingBuilderIO/agent-native | 7.1k | — | ~3.4k | Automated safety check: Pass | None | |
| Deslop Shared Libsgarrytan/gstack | 136k | — | ~3.3k | Automated safety check: Notes | MIT | |
| Skill Sharedavila7/claude-code-templates | 32k | 10 repos | ~729 | Automated safety check: Pass | MIT | |
| Tabler Shared Lib Helperstabler/tabler | 42k | — | ~1.2k | Automated safety check: Pass | MIT |
ClickHouse/ClickHouse
Share a Claude Code session to pastila.nl and return a viewer link.
BuilderIO/agent-native
Framework-level sharing and privacy for user-authored resources (dashboards, documents, forms, decks, etc.).
garrytan/gstack
Find worthwhile shared-code extractions in recent work. An agent skill from garrytan/gstack.
davila7/claude-code-templates
A skill that creates new Claude skills and automatically shares them on Slack using Rube for seamless team collaboration and skill discovery.
tabler/tabler
Moves logic out of Astro frontmatter into tested helper modules under shared/lib, with rules for naming, typing, deterministic demo data and sibling test files.
thedaviddias/Front-End-Checklist
A skill your agent uses when applies to blog posts, news articles, tutorials, and other long-form content.
shouldnotappearcalm/a-share-skill
A 股全市场高流动性池内按趋势回踩(trendpullback)产出买入候选与持仓卖出信号;另有 realtimequotes 批量拉取现价快照。供下单前决策;不跑回测、不自动下单。Use when 用户要选股、看实时报价、判断买卖信号或检查持仓是否触发离场条件。
shouldnotappearcalm/a-share-skill
A 股主板流动性池内按趋势回踩(trendpullback)产出买入候选与持仓卖出信号;另有 realtimequotes 批量拉取现价快照。供下单前决策;不跑回测、不自动下单。Use when 用户要选股、看实时报价、判断买卖信号或检查持仓是否触发离场条件。
shouldnotappearcalm/a-share-skill
A股模拟盘交易与回测技能。Use when 用户要启动模拟仓服务、创建多账户、下限价单/市价单、撤单、查询持仓资金、验证涨跌停成交逻辑或运行A股回测。
shouldnotappearcalm/a-share-skill
基于退哥短线交易规则的A股场景化决策技能。Use when 用户要按交易场景查看短线规则、做选股、判断趋势回踩、涨停回调、连板接力、洗盘结束、卖出失效或仓位纪律。
shouldnotappearcalm/a-share-skill
A股“MACD底背离 + 零轴下二次金叉”实战分析与交易执行技能。用于把用户的盘感描述转成可执行的三档决策(上观察名单/可试错出手/必须放弃)、盘中检查单、入场与风控规则。适用于用户提到“二次金叉”“水下二次金叉”“底背离”“第一脚第二脚”“回踩验底”“MACD背离”“抄底修复”“想做但怕假信号”等场景。
shouldnotappearcalm/a-share-skill
基于“均线定方向,MACD定节奏”的A股选股与交易计划技能。Use when 用户要求把均线与MACD结合做选股、筛票、盘前候选池、趋势跟随、回踩再上、金叉确认、顶背离减仓、或希望把技术判断沉淀成可执行规则与风控模板。
查询A股实时行情、历史数据、技术指标、事件、资金面、热门行业/概念、板块热力图与个股行业信息。Use when 用户提到股票代码、板块、热门概念、热门行业、概念涨跌、行业涨跌、热力图、市场快讯、技术分析、财务指标、指数成分、交易日历、宏观数据或个股所属行业。. A Share Data is an agent skill from shouldnotappearcalm/a-share-skill.
A Share Data fits situations like: 用户提到股票代码、板块、热门概念、热门行业、概念涨跌、行业涨跌、热力图、市场快讯、技术分析、财务指标、指数成分、交易日历、宏观数据或个股所属行业.
Run `npx skills add shouldnotappearcalm/a-share-skill --skill a-share-data -a claude-code`. Or copy the skill folder (a-share-data in shouldnotappearcalm/a-share-skill) into .claude/skills/a-share-data in your project. Claude Code loads it when a task matches its description.
Run `npx skills add shouldnotappearcalm/a-share-skill --skill a-share-data -a codex`. Or copy the skill folder (a-share-data in shouldnotappearcalm/a-share-skill) into .agents/skills/a-share-data in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add shouldnotappearcalm/a-share-skill --skill a-share-data -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-data, .gemini/skills/a-share-data, .github/skills/a-share-data and .opencode/skills/a-share-data in your project.
Going by SKILL.md and its folder, A Share Data needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and pip). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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.
A Share Data is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.3k tokens (SKILL.md is roughly 5k 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 3.9k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with A Share Data: Share (ClickHouse/ClickHouse, 50k stars), Sharing (BuilderIO/agent-native, 7.1k stars), Deslop Shared Libs (garrytan/gstack, 136k stars) and Skill Share (davila7/claude-code-templates, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
shouldnotappearcalm (a GitHub user) maintains it in shouldnotappearcalm/a-share-skill, which has 243 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on September 28, 2026.
Source: shouldnotappearcalm/a-share-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.