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 chuancyzhang/deepseek-cowork --skill financial-data-aksharegit clone --depth 1 https://github.com/chuancyzhang/deepseek-coworkWrote 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/chuancyzhang/deepseek-cowork/financial-data-akshare)<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/financial-data-akshare"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/financial-data-akshare/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/chuancyzhang/deepseek-cowork/financial-data-akshare"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/financial-data-akshare.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 | $0.00070 | $0.00741 |
| Opus 5.5 | $0.00028 | $0.00296 |
| Sonnet 5.5 | $0.00014 | $0.00148 |
| Haiku 4.5 | $0.00007 | $0.00074 |
Grade A, and why
financial-data-akshare 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 1mo 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
AKShare 金融数据
这个 skill 使用 AKShare 查询免费金融数据。AKShare 的数据接口很多，具体函数名和参数以当前运行时安装的 AKShare 版本为准，可参考 http://www.akfamily.xyz/#/data。
Capabilities
- 调用 AKShare 公开函数并返回结构化 JSON。
- 支持通过
kwargs传递 AKShare 接口参数。 - 支持
limit限制返回行数，避免大表占用过多上下文。 - 支持按
columns选择需要返回的列。
Usage Guidelines
- 优先使用
query_akshare_data，传入 AKShare 函数名，例如stock_zh_a_spot_em。 - 当用户没有给出具体函数名时，先根据需求选择最接近的 AKShare 接口；不确定时说明函数选择依据。
- 对时效性强的数据，回答时说明查询时间和数据源可能存在延迟。
- 返回表格数据后，先检查
ok、error、shape、columns、truncated，再组织答复。 - 数据仅供研究参考，不构成投资建议。
- 多个彼此独立的 AKShare 查询可在当前模式允许时通过
parallel_tools并行执行；不要并行执行需要用户确认或会修改环境的操作。
Safety Boundaries
- 只调用 AKShare 模块中的公开函数。
- 不执行任意 Python 代码。
- 不把用户输入当作模块名、表达式或脚本执行。
- 不承诺数据完整性、实时性或投资收益。
Interface Details
query_akshare_data
Parameters:
function_name: AKShare 函数名，如stock_zh_a_spot_em。kwargs: 传给 AKShare 函数的关键字参数对象，默认{}。limit: 返回行数上限，默认50，最大500。columns: 可选列名数组；为空返回全部列。include_columns: 是否返回完整列名列表，默认true。
Returns JSON with:
okfunction_nameakshare_versionshapecolumnsrecordstruncatedwarningerror
Current Runtime Notes
- 金融行情、宏观指标和公司数据都属于时效性信息，回答时应说明查询时间和数据来源可能延迟。
- 当用户询问投资、交易或决策建议时，只提供研究信息与风险提示，不承诺收益。
What ships with it
2 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.
- 1mo ago First seen · 68 lines · 70 tokens per session scan A e589d61ecd27
financial-data-akshare is a skill published in the GitHub repository chuancyzhang/deepseek-cowork (18 stars, last pushed today), licensed Apache-2.0. It adds 70 tokens to every session and 741 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 2026-08-30.
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