Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Haochenhust/ch-skills --skill stock-market-datagit clone --depth 1 https://github.com/Haochenhust/ch-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/haochenhust/ch-skills/stock-market-data)<a href="https://agentmods.dev/skills/haochenhust/ch-skills/stock-market-data"><img src="https://agentmods.dev/badge/skills/haochenhust/ch-skills/stock-market-data/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/haochenhust/ch-skills/stock-market-data"><img src="https://agentmods.dev/badge/skills/haochenhust/ch-skills/stock-market-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00084 | $0.01354 |
| Opus 5.5 | $0.00034 | $0.00542 |
| Sonnet 5.5 | $0.00017 | $0.00271 |
| Haiku 4.5 | $0.00008 | $0.00135 |
Grade A, and why
stock-market-data scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
股票行情数据工具集
通用的 A 股 / 美股市场数据获取能力。数据源为 AKShare，免费、无需 API token。
Python 环境（首次安装）
cd stock-market-data # this skill's directory
python3 -m venv .venv
.venv/bin/pip install -r scripts/requirements.txt # akshare>=1.18.0, pandas>=2.0.0
之后所有脚本通过该 venv 执行：
PY=.venv/bin/python3
SCRIPTS=scripts
检查交易日
$PY $SCRIPTS/check_trading_day.py [--date YYYYMMDD]
- 默认检查今天，
--date指定其他日期 - 输出:
{"date": "20260317", "is_trading_day": true} - 退出码: 0 = 交易日, 1 = 非交易日
- 交易日历自动缓存到脚本同目录，同一年内不重复请求
拉取行情数据
# 晨间: A股20日趋势 + 美股5日 + 板块 + 涨停池 + 北向资金
$PY $SCRIPTS/fetch_market_data.py --mode morning
# 盘后: A股5日 + 板块 + 涨停池 + 北向 + 可选个股追踪
$PY $SCRIPTS/fetch_market_data.py --mode evening --stocks 000001,600519
# 周度: A股20日 + 美股10日 + 板块10日 + 北向10日
$PY $SCRIPTS/fetch_market_data.py --mode weekly
输出 JSON 结构
各 mode 返回的 JSON 包含以下字段（缺失的字段表示该 mode 不返回）:
| 字段 | morning | evening | weekly | 说明 |
|---|---|---|---|---|
us_indices |
Y | — | Y | 美股三大指数 (道琼斯/纳斯达克/标普500) |
a_share_indices |
Y | Y | Y | A股四大指数 (上证/深证/沪深300/创业板) |
sectors |
Y | Y | Y | 同花顺15大行业板块，按涨跌幅降序 |
limit_pool |
Y | Y | — | 涨停池 (前10只，含连板数、所属行业) |
northbound |
Y | Y | Y | 北向资金 (沪股通) |
tracked_stocks |
— | 需传 --stocks | — | 指定个股日线数据 |
关键字段示例
指数 (a_share_indices / us_indices):
{"name": "上证指数", "symbol": "sh000001", "close": 3250.12, "change_pct": -0.82, "volume": 79205476400, "trend_5d": "震荡 -0.03%", "trend_20d": "上涨 2.5%", "date": "2026-03-13"}
板块 (sectors):
{"name": "半导体", "close": 1580.33, "change_pct": 2.15, "volume": 3847460300, "date": "2026-03-13"}
涨停池 (limit_pool):
{"date": "20260313", "count": 23, "top_stocks": [{"code": "000001", "name": "平安银行", "change_pct": 10.02, "industry": "银行", "consecutive": 2}]}
个股 (tracked_stocks, 仅 evening 模式):
{"code": "600519", "name": "600519", "close": 1459.02, "change_pct": 3.21, "volume": 12345678, "turnover": 1.25, "date": "2026-03-13"}
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 106 lines · 84 tokens per session scan A dfa585ea6514
stock-market-data is a skill published in the GitHub repository Haochenhust/ch-skills (9 stars, last pushed 3mo ago), licensed MIT. It adds 84 tokens to every session and 1,354 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
stock-market-data compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| stock-market-dataHaochenhust/ch-skills | Skill | 9 | 3mo ago | MIT | A | 84 | Claude Code |
| rugpull-detectorDjordjeMojsilovic/Djordjes-Claude-Setup | Skill | 4 | 3mo ago | none | A | 205 | Claude Code, Codex |
| ma-playbookalirezarezvani/claude-skills | Skill | 29k | yesterday | MIT | A | 29 | Claude Code |
| fiscalisteromainsimon/paperasse | Skill | 2.6k | yesterday | MIT | A | 320 | Claude Code, Codex |
| comptableromainsimon/paperasse | Skill | 2.6k | yesterday | MIT | A | 153 | Claude Code, Codex |
| syndicromainsimon/paperasse | Skill | 2.6k | yesterday | MIT | A | 204 | Claude Code, Codex |
| prompt-masternidhinjs/prompt-master | Skill | 16k | 15d ago | MIT | B | 78 | Claude Code, Codex |