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 Geeksfino/finskills --skill findata-toolkit-cngit clone --depth 1 https://github.com/Geeksfino/finskillsWrote 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/geeksfino/finskills/findata-toolkit-cn)<a href="https://agentmods.dev/skills/geeksfino/finskills/findata-toolkit-cn"><img src="https://agentmods.dev/badge/skills/geeksfino/finskills/findata-toolkit-cn/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/geeksfino/finskills/findata-toolkit-cn"><img src="https://agentmods.dev/badge/skills/geeksfino/finskills/findata-toolkit-cn.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 | $0.00082 | $0.00683 |
| Opus 5 | $0.00041 | $0.00342 |
| Sonnet 5 | $0.00016 | $0.00137 |
| Haiku 4.5 | $0.00008 | $0.00068 |
Grade A, and why
findata-toolkit-cn 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 12d 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.
What it actually says
金融数据工具包 — A股市场
自包含的数据工具包，提供A股市场实时金融数据和定量计算。所有数据源免费，无需API密钥。
安装
安装依赖（一次性）：
pip install -r requirements.txt
可用工具
所有脚本位于 scripts/ 目录。从技能根目录运行。
1. A股数据 (scripts/stock_data.py)
通过 AKShare 获取A股基本面、行情、财务指标。
| 命令 | 用途 |
|---|---|
python scripts/stock_data.py 600519 |
基本信息（贵州茅台） |
python scripts/stock_data.py 600519 --metrics |
完整财务指标（估值、盈利、杠杆、增长） |
python scripts/stock_data.py 600519 --history |
历史OHLCV行情 |
python scripts/stock_data.py 600519 --financials |
利润表、资产负债表、现金流量表 |
python scripts/stock_data.py 600519 --insider |
董监高增减持数据 |
python scripts/stock_data.py --northbound |
北向资金流向（沪股通/深股通） |
python scripts/stock_data.py 600519 000858 --screen |
批量筛选 |
2. 宏观数据 (scripts/macro_data.py)
通过 AKShare 获取中国宏观经济指标。
| 命令 | 用途 |
|---|---|
python scripts/macro_data.py --dashboard |
完整宏观仪表盘 |
python scripts/macro_data.py --rates |
利率数据（LPR、Shibor） |
python scripts/macro_data.py --inflation |
CPI/PPI数据 |
python scripts/macro_data.py --pmi |
PMI数据（制造业/非制造业） |
python scripts/macro_data.py --social-financing |
社会融资规模 + M2 |
python scripts/macro_data.py --cycle |
经济周期阶段判断 |
数据来源
| 来源 | 数据内容 | API密钥 |
|---|---|---|
| AKShare | A股行情、财务数据、董监高交易、北向资金、宏观指标 | 无需 |
输出格式
所有脚本以 JSON 输出到标准输出，便于解析。错误信息输出到标准错误。
配置
可选：编辑 config/data_sources.yaml 自定义速率限制或添加付费数据源API密钥。
What ships with it
8 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.
- 12d ago First seen · 63 lines · 82 tokens per session scan A 7ee701d6e4f8
findata-toolkit-cn is a skill published in the GitHub repository Geeksfino/finskills (279 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 82 tokens to every session and 683 once invoked, about $0.0004 per session on Opus 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 2026-08-30.
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