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 stock-list-all-stocksgit 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/stock-list-all-stocks)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/stock-list-all-stocks"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/stock-list-all-stocks/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/stock-list-all-stocks"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/stock-list-all-stocks.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 | $0.00047 | $0.00433 |
| Opus 5 | $0.00023 | $0.00217 |
| Sonnet 5 | $0.00009 | $0.00087 |
| Haiku 4.5 | $0.00005 | $0.00043 |
Grade A, and why
stock-list-all-stocks 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 9d 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
获取所有股票代码列表
接口说明
| 项目 | 说明 |
|---|---|
| 接口名称 | 获取所有股票代码列表 |
| 外部接口 | /api/v1/market/data/stock-list |
| 请求方式 | GET |
| 适用场景 | 获取所有 A 股股票的代码和名称列表，支持沪深京股票，自动返回最新交易日的数据 |
请求参数
无需任何参数。
执行方式
通过根目录的 run.py 调用（推荐）：
python <RUN_PY> stock-list-all-stocks
<RUN_PY>为主SKILL.md同级的run.py绝对路径，参见主 SKILL.md 的「调用方式」说明。
响应结构
{
"items": [
{
"stock_code": "000001.SZ",
"stock_name": "平安银行"
},
{
"stock_code": "000002.SZ",
"stock_name": "万科A"
}
]
}
字段说明
| 字段名 | 类型 | 是否可为空 | 说明 |
|---|---|---|---|
stock_code |
String | 否 | 股票交易代码，固定携带 .SZ/.SH/.BJ 市场后缀 |
stock_name |
String | 否 | 股票名称 |
注意事项
- 返回全量 A 股，数据量较大（通常 5000 条以上），按需筛选
stock_code固定含市场后缀，不要自行增减- 当查询没有数据时，返回空数组
[]
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.
- 9d ago First seen · 60 lines · 47 tokens per session scan A 6dd4125c5702
stock-list-all-stocks is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (64 stars, last pushed yesterday), licensed MIT. It adds 47 tokens to every session and 433 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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