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 FTShare-Lab/FTShare-skill --skill stock-income-all-stocks-specific-periodgit clone --depth 1 https://github.com/FTShare-Lab/FTShare-skillWrote 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/ftshare-lab/ftshare-skill/stock-income-all-stocks-specific-period)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/stock-income-all-stocks-specific-period"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/stock-income-all-stocks-specific-period/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/ftshare-lab/ftshare-skill/stock-income-all-stocks-specific-period"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/stock-income-all-stocks-specific-period.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00051 | $0.01108 |
| Opus 5 | $0.00026 | $0.00554 |
| Sonnet 5 | $0.00010 | $0.00222 |
| Haiku 4.5 | $0.00005 | $0.00111 |
Grade A, and why
stock-income-all-stocks-specific-period 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 9d 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
查询单报告期全市场利润表（分页）
接口说明
| 项目 | 说明 |
|---|---|
| 接口名称 | 查询单报告期所有票利润表 |
| 外部接口 | GET /api/v1/market/data/finance/income |
| 请求方式 | GET |
| 适用场景 | 获取 A 股指定报告期所有股票的利润表，支持沪深京股票，支持分页 |
请求参数
说明：year、report_type、page、page_size 为必填项。
| 参数名 | 类型 | 是否必填 | 描述 | 取值示例 | 备注 |
|---|---|---|---|---|---|
| year | int | 是 | 报告所属年度 | 2025 | 必填 |
| report_type | string | 是 | 报告期类型标识 | q2 | q1（一季报）、q2（半年报）、q3（三季报）、annual（全年报） |
| page | int | 是 | 页码 | 1 | 从 1 开始 |
| page_size | int | 是 | 每页记录数 | 20 | 建议 10–100 |
执行方式
python scripts/handler.py --year 2025 --report-type q2 --page 1 --page-size 20
响应结构
{
"items": [ { "stock_code", "stock_name", "year", "report_type", "report_type_cn", "publish_date", "report_form_type", "t_revenue", "n_profit", ... } ],
"total_pages": 283,
"total_items": 5652
}
字段说明（IncomeItem）
| 字段名 | 类型 | 是否可为空 | 说明 | 单位 |
|---|---|---|---|---|
| stock_code | String | 否 | 股票交易代码，带 .SZ/.SH/.BJ 后缀 | - |
| stock_name | String | 否 | 上市公司股票名称 | - |
| year | int | 否 | 报告所属年度 | - |
| report_type | String | 否 | 报告期类型：q1/q2/q3/annual | - |
| report_type_cn | String | 否 | 报告期类型中文：一季报/半年报/三季报/年报 | - |
| publish_date | String | 否 | 报告发布日期，YYYY-MM-DD | - |
| report_form_type | String | 否 | 报表类型：合并未调整/合并调整 | - |
| t_revenue | float | 否 | 营业总收入 | 元 |
| t_revenue_yoy | float | 是 | 营业总收入同比增长率，无上期时为 null | % |
| cost | float | 否 | 营业支出（主营业务成本） | 元 |
| cost_yoy | float | 是 | 主营业务成本同比增长率 | % |
| t_cost | float | 否 | 营业总支出 | 元 |
| t_cost_yoy | float | 是 | 营业总支出同比增长率 | % |
| sale_expense | float | 否 | 销售费用 | 元 |
| sale_expense_yoy | float | 是 | 销售费用同比增长率 | % |
| manag_expense | float | 否 | 管理费用 | 元 |
| manag_expense_yoy | float | 是 | 管理费用同比增长率 | % |
| financial_cost | float | 否 | 财务费用 | 元 |
| financial_cost_yoy | float | 是 | 财务费用同比增长率 | % |
| profit | float | 否 | 营业利润 | 元 |
| profit_yoy | float | 是 | 营业利润同比增长率 | % |
| t_profit | float | 否 | 利润总额 | 元 |
| t_profit_yoy | float | 是 | 利润总额同比增长率 | % |
| n_profit | float | 否 | 净利润 | 元 |
| n_profit_yoy | float | 是 | 净利润同比增长率 | % |
| parcomp_n_profit | float | 否 | 扣非归母净利润 | 元 |
| parcomp_n_profit_yoy | float | 是 | 扣非归母净利润同比增长率 | % |
What ships with it
1 file 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.
- 9d ago First seen · 86 lines · 51 tokens per session scan A 43bce6355b14
stock-income-all-stocks-specific-period is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (64 stars, last pushed yesterday), licensed MIT. It adds 51 tokens to every session and 1,108 once invoked, about $0.0003 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 2026-09-03.
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