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 report-announcement-summarygit 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/report-announcement-summary)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/report-announcement-summary"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/report-announcement-summary/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/report-announcement-summary"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/report-announcement-summary.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 | $0.00060 | $0.00602 |
| Opus 5 | $0.00030 | $0.00301 |
| Sonnet 5 | $0.00012 | $0.00120 |
| Haiku 4.5 | $0.00006 | $0.00060 |
Grade A, and why
report-announcement-summary 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
查询报告公告摘要
接口说明
| 项目 | 说明 |
|---|---|
| 接口名称 | 查询报告公告摘要 |
| 外部接口 | GET /api/v2/market/data/report-announcements/summary |
| 请求方式 | GET |
| 适用场景 | 根据公告 ID 查询单条报告公告的摘要、标题、证券信息和处理状态 |
同一处理逻辑的兼容入口还包括
/api/v1/market/data/report-announcement/summary。
请求参数
| 参数名 | 类型 | 是否必填 | 描述 | 取值示例 | 备注 |
|---|---|---|---|---|---|
| announcement_id | string | 是 | 公告 ID | AN202607140001 |
由「报告公告列表」接口返回 |
执行方式
python <RUN_PY> report-announcement-summary --announcement_id AN202607140001
<RUN_PY> 为主 SKILL.md 同级的 run.py 绝对路径。
响应结构
返回 code/message/data，未找到公告时 code 为 404、data 为 null。
{
"code": 200,
"message": "success",
"data": {
"announcement_id": "AN202607140001",
"sec_code": "600000",
"sec_name": "浦发银行",
"announcement_title": "公告标题",
"summary": "公告摘要",
"status": "summarized",
"announcement_time": "2026-07-14 09:30:00"
}
}
data 字段
| 字段 | 类型 | 说明 |
|---|---|---|
| announcement_id | string/null | 公告 ID |
| sec_code / sec_name | string/null | 证券代码 / 证券名称 |
| announcement_title | string/null | 公告标题 |
| summary | string/null | 公告摘要 |
| status | string/null | 摘要处理状态 |
| announcement_time | string/null | 公告时间 |
注意事项
announcement_id为必填，由「报告公告列表」接口返回。- 未找到公告时
code为 404、data为null。 - 两个路径（
/report-announcements/summary与/report-announcement/summary）是同一处理逻辑的兼容入口。
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 · 69 lines · 60 tokens per session scan A e3cec15c1cd6
report-announcement-summary is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (63 stars, last pushed today), licensed MIT. It adds 60 tokens to every session and 602 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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