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 stk-managersgit 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/stk-managers)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/stk-managers"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/stk-managers/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/stk-managers"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/stk-managers.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 | $0.00084 | $0.00988 |
| Opus 5 | $0.00042 | $0.00494 |
| Sonnet 5 | $0.00017 | $0.00198 |
| Haiku 4.5 | $0.00008 | $0.00099 |
Grade A, and why
stk-managers 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 8d 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
查询上市公司管理层信息
接口说明
| 项目 | 说明 |
|---|---|
| 接口名称 | 查询上市公司管理层人员信息 |
| 外部接口 | /api/v1/market/data/stk-managers |
| 请求方式 | GET |
| 适用场景 | 查询上市公司管理层人员，含姓名、岗位类别、职位、任职区间等 |
请求参数
| 参数名 | 类型 | 是否必填 | 描述 | 取值示例 | 备注 |
|---|---|---|---|---|---|
| trade_code | string | 是 | 股票代码 | 600848.SH | 带 .SZ/.SH 后缀，支持逗号分隔多个，如 600848.SH,000001.SZ |
| candi_date | string | 否 | 候选日期，精确匹配 | 20251128 | YYYYMMDD 格式 |
| begin_date | string | 否 | 任职起始日过滤 | 20200101 | YYYYMMDD 格式 |
| end_date | string | 否 | 任职截止日过滤 | 20241231 | YYYYMMDD 格式；与 begin_date 同时提供时须 begin_date ≤ end_date |
执行方式
通过根目录的 run.py 调用（推荐）：
python <RUN_PY> stk-managers --trade_code 600848.SH
python <RUN_PY> stk-managers --trade_code 600848.SH --begin_date 20200101 --end_date 20241231
python <RUN_PY> stk-managers --trade_code 600848.SH,000001.SZ
<RUN_PY>为主SKILL.md同级的run.py绝对路径。
响应结构
[
{
"trade_code": "000001.SZ",
"security_name": "平安银行",
"name": "杨运杰",
"s_type": "董事",
"position": "独立董事",
"birth": "19660101",
"candi_date": "20251128",
"begin_date": "20260326",
"end_date": "20281215",
"is_job": "在任",
"change_reason": ""
}
]
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.
- 8d ago First seen · 79 lines · 84 tokens per session scan A 8d55a79ff933
stk-managers is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (64 stars, last pushed today), licensed MIT. It adds 84 tokens to every session and 988 once invoked, about $0.0004 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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