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 fund-classification-single-fundgit 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/fund-classification-single-fund)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/fund-classification-single-fund"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/fund-classification-single-fund.svg" alt="Measured on agentmods" 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 | $0.00361 |
| Opus 5 | $0.00024 | $0.00180 |
| Sonnet 5 | $0.00010 | $0.00072 |
| Haiku 4.5 | $0.00005 | $0.00036 |
Grade A, and why
fund-classification-single-fund 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.
What it actually says
基金分类
接口说明
| 项目 | 说明 |
|---|---|
| 接口名称 | 基金分类 |
| 外部接口 | /api/v1/market/data/fund/fund-classification |
| 请求方式 | GET |
请求参数
| 参数名 | 类型 | 是否必填 | 描述 |
|---|---|---|---|
--fund_code |
string | 是 | 基金代码（trade_code 形式，如 000001 或 000001.OF） |
--classify_std |
string | 否 | 分类标准：证监会基金分类/晨星基金分类/银河证券分类2017版/Gangtise基金分类/Gangtise基金概念分类，缺省全部 |
执行方式
通过根目录的 run.py 调用（推荐）：
python <RUN_PY> fund-classification-single-fund --fund_code 000001 --classify_std 晨星基金分类
<RUN_PY>为主SKILL.md同级的run.py绝对路径。
响应结构
JSON 对象或数组，结构请参考 ftshare-doc 接口文档。
注意事项
- 必填参数必须提供。
- 响应以 JSON 格式输出至 stdout，诊断信息输出至 stderr。
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 · 41 lines · 48 tokens per session scan A 387903a6f89b
fund-classification-single-fund is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (63 stars, last pushed today), licensed MIT. It adds 48 tokens to every session and 361 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 2026-08-30.
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