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-asset-allocation-single-fund-paginatedgit 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-asset-allocation-single-fund-paginated)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/fund-asset-allocation-single-fund-paginated"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/fund-asset-allocation-single-fund-paginated/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/fund-asset-allocation-single-fund-paginated"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/fund-asset-allocation-single-fund-paginated.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 | $0.00076 | $0.00476 |
| Opus 5 | $0.00038 | $0.00238 |
| Sonnet 5 | $0.00015 | $0.00095 |
| Haiku 4.5 | $0.00008 | $0.00048 |
Grade A, and why
fund-asset-allocation-single-fund-paginated 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 11d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- fund-portfolio-single-fund-paginated — 92% identical, 12 lines differ
What it actually says
基金资产配置
接口说明
| 项目 | 说明 |
|---|---|
| 接口名称 | 基金资产配置 |
| 外部接口 | /api/v1/market/data/fund/fund-asset-allocation |
| 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 |
--report_date |
int | 否 | 报告期 YYYYMMDD（与 start/end 互斥） |
--publish_date |
int | 否 | 发布日期 YYYYMMDD |
--start_date |
int | 否 | 报告期起始日期（需与 end_date 同传） |
--end_date |
int | 否 | 报告期结束日期 |
--page |
int | 否 | 页码，默认 1 |
--page_size |
int | 否 | 每页记录数，默认 50，上限 200 |
执行方式
通过根目录的 run.py 调用（推荐）：
python <RUN_PY> fund-asset-allocation-single-fund-paginated --fund_code 000001 --report_date 20260331 --page 1 --page_size 50
<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.
- 11d ago First seen · 46 lines · 76 tokens per session scan A 9273939716bb
fund-asset-allocation-single-fund-paginated is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (63 stars, last pushed today), licensed MIT. It adds 76 tokens to every session and 476 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 2026-08-30.
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