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 shareholder-meetinggit 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/shareholder-meeting)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/shareholder-meeting"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/shareholder-meeting/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/shareholder-meeting"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/shareholder-meeting.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 | $0.00044 | $0.00802 |
| Opus 5 | $0.00022 | $0.00401 |
| Sonnet 5 | $0.00009 | $0.00160 |
| Haiku 4.5 | $0.00004 | $0.00080 |
Grade A, and why
shareholder-meeting 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 7d 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
股东大会 - 查询股东大会信息
1. 接口描述
| 项目 | 说明 |
|---|---|
| 接口名称 | 查询股东大会 |
| 外部接口 | GET /api/v1/market/data/corporate/meeting |
| 请求方式 | GET |
| 适用场景 | 查询 A 股上市公司股东大会召开信息，包括会议日期、股权登记日、提案等，支持分页 |
2. 请求参数
| 参数名 | 类型 | 是否必填 | 描述 | 取值示例 | 备注 |
|---|---|---|---|---|---|
| page | int | 否 | 页码，从 1 开始 | 1 |
默认 1 |
| page_size | int | 否 | 每页数量 | 50 |
默认 50，最大 200 |
3. 响应说明
返回 PaginatedApiResponse 包装的 JSON 对象。
{
"code": 0,
"message": "success",
"data": {
"pageNum": 1,
"pageSize": 50,
"total": 189,
"pages": 4,
"records": [
{
"security_code": "920011",
"security_name_abbr": "晨光电机",
"meeting_title": "2026年第4次临时股东大会",
"start_adjust_date": "2026-06-17",
"equity_record_date": "2026-06-12",
"onsite_record_date": null,
"web_start_date": "2026-06-16",
"web_end_date": "2026-06-17",
"decision_notice_date": null,
"notice_date": "2026-06-01",
"serial_num": "238348",
"proposal": "1、《关于公司董事2026年度薪酬方案的议案》"
}
]
}
}
data.records 元素结构
| 字段名 | 类型 | 是否可为空 | 说明 |
|---|---|---|---|
| security_code | string | 是 | 股票代码 |
| security_name_abbr | string | 是 | 股票简称 |
| meeting_title | string | 是 | 会议标题 |
| start_adjust_date | string | 是 | 开始调整日期（会议召开日期） |
| equity_record_date | string | 是 | 股权登记日 |
| onsite_record_date | string | 是 | 现场登记日 |
| web_start_date | string | 是 | 网络投票开始日期 |
| web_end_date | string | 是 | 网络投票结束日期 |
| decision_notice_date | string | 是 | 决议公告日期 |
| notice_date | string | 是 | 公告日期 |
| serial_num | string | 是 | 序号 |
| proposal | string | 是 | 提案内容 |
4. 用法
通过主目录 run.py 调用：
python <RUN_PY> shareholder-meeting
python <RUN_PY> shareholder-meeting --page 1 --page_size 50
5. 请求示例
GET /api/v1/market/data/corporate/meeting?page=1&page_size=50
6. 注意事项
- 数据按
notice_date降序排列。 - 日期字段以 YYYY-MM-DD 格式返回，无数据时为 null。
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.
- 7d ago First seen · 93 lines · 44 tokens per session scan A f219c4a9c64b
shareholder-meeting is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (63 stars, last pushed today), licensed MIT. It adds 44 tokens to every session and 802 once invoked, about $0.0002 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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