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 financial-calendargit 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/financial-calendar)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/financial-calendar"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/financial-calendar/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/financial-calendar"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/financial-calendar.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 | $0.00064 | $0.00890 |
| Opus 5 | $0.00032 | $0.00445 |
| Sonnet 5 | $0.00013 | $0.00178 |
| Haiku 4.5 | $0.00006 | $0.00089 |
Grade A, and why
financial-calendar 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 6d 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
查询财经日历
1. 接口描述
| 项目 | 说明 |
|---|---|
| 接口名称 | 查询财经日历 |
| 外部接口 | GET /api/v1/market/data/finance/financial-calendar |
| 请求方式 | GET |
| 适用场景 | 按日期范围查询华尔街见闻与百度财经日历数据（宏观数据、IPO、财报时间、交易提醒等） |
2. 请求参数
| 参数名 | 类型 | 是否必填 | 描述 | 取值示例 | 备注 |
|---|---|---|---|---|---|
| start_date | string | 是 | 开始日期 | 2026-05-01 | 格式 YYYY-MM-DD |
| end_date | string | 是 | 结束日期 | 2026-05-07 | 格式 YYYY-MM-DD |
3. 响应说明
响应为信封结构 code / message / data，data 包含两大来源：
3.1 华尔街见闻（wallstreetcn）
| 字段名 | 类型 | 是否可为空 | 说明 |
|---|---|---|---|
| stat_date | string | 否 | 统计日期 |
| tab_type | string | 否 | 标签类型 |
| event_time | string | 否 | 事件时间 |
| region | string | 否 | 地区 |
| event | string | 否 | 事件名称 |
| importance | string | 否 | 重要程度 |
| actual_value | string | 是 | 公布值 |
| forecast_value | string | 是 | 预测值 |
| previous_value | string | 是 | 前值 |
3.2 百度财经日历（baidu）
包含四类数据：
- economic（经济数据）：region、time、title、former_val、market_value、pub_val、indicate_val、star、negative、positive
- ipo（IPO 数据）：code、name、exchange、market、price、volume、amount、pe_ratio 等
- report_time（财报时间）：code、name、exchange、market、report_type、market_time 等
- trade_reminder（交易提醒）：code、name、exchange、market、meeting_type、reason、divi_cash、divi_date 等
{
"code": 0,
"message": "success",
"data": {
"wallstreetcn": { "items": [] },
"baidu": {
"economic": { "items": [] },
"ipo": { "items": [] },
"report_time": { "items": [] },
"trade_reminder": { "items": [] }
}
}
}
4. 用法
通过主目录 run.py 调用（必填 --start-date、--end-date）：
python <RUN_PY> financial-calendar --start-date 2026-05-01 --end-date 2026-05-03
<RUN_PY> 为主 SKILL.md 同级的 run.py 绝对路径。
5. 注意事项
- 日期格式为
YYYY-MM-DD。 - 各
items列表可能为空数组，表示该日期范围内无对应事件。 - 百度侧 IPO、财报时间、交易提醒等条目中，类型字段 JSON 名为
type。 - 多日范围查询可能因响应过大导致服务端截断（服务端 HTTP/2 限制）。建议每次仅查询单日（
start_date与end_date相同），如需多日数据请逐日调用后合并。
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.
- 6d ago Changed f2333d237b23
- 9d ago First seen · 83 lines · 64 tokens per session scan A dcb5f38bf642
financial-calendar is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (63 stars, last pushed 2d ago), licensed MIT. It adds 64 tokens to every session and 890 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 2026-08-30.
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