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 executive-holdings-changesgit 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/executive-holdings-changes)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/executive-holdings-changes"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/executive-holdings-changes/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/executive-holdings-changes"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/executive-holdings-changes.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 | $0.00048 | $0.00544 |
| Opus 5 | $0.00024 | $0.00272 |
| Sonnet 5 | $0.00010 | $0.00109 |
| Haiku 4.5 | $0.00005 | $0.00054 |
Grade A, and why
executive-holdings-changes 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
董监高持股变动
接口：GET /api/v1/market/data/holder/stock-ggmx。支持按股票代码、变动方向和变动日期范围筛选，返回分页数据。
调用示例
python <RUN_PY> executive-holdings-changes --stock-code 600001 --change-direction 增持 --start-date 20260101 --end-date 20260601 --page 1 --page-size 20
python <RUN_PY> executive-holdings-changes --stock-code 600519 --all
参数
--stock-code：股票代码，如600001，可选。--change-direction：变动方向，可填增持或减持，可选。--start-date：变动日期起始日，可使用YYYYMMDD或YYYY-MM-DD，可选。--end-date：变动日期截止日，可使用YYYYMMDD或YYYY-MM-DD，可选。--page：页码，默认 1。--page-size：每页条数，默认 50，范围为 1～200。--all：自动翻页并合并所有记录。
所有筛选参数均可省略。响应为 code/message/data 信封，分页记录位于 data.records。
记录字段
记录包含 stock_code、stock_name、change_date、notice_date、register_date、changer、executive_name、relation、position、change_direction、change_shares、change_quantity、avg_price、change_amount、change_reason、shares_after、change_ratio、close_price、price_change、total_share、data_time、quote_price、quote_change、crawl_date、source 和 crawl_batch_ts 等字段。
日期参数按变动日期筛选；源接口同时兼容下划线参数名及对应的 camelCase 别名，handler 使用文档中的下划线参数名。
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 First seen · 34 lines · 48 tokens per session scan A 866de15113d0
executive-holdings-changes is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (63 stars, last pushed 2d ago), licensed MIT. It adds 48 tokens to every session and 544 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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