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 economic-us-economic-by-typegit 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/economic-us-economic-by-type)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/economic-us-economic-by-type"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/economic-us-economic-by-type/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/economic-us-economic-by-type"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/economic-us-economic-by-type.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 | $0.00089 | $0.01078 |
| Opus 5 | $0.00044 | $0.00539 |
| Sonnet 5 | $0.00018 | $0.00216 |
| Haiku 4.5 | $0.00009 | $0.00108 |
Grade A, and why
economic-us-economic-by-type 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.
How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
美国经济指标 - 按类型查询
1. 接口描述
| 项目 | 说明 |
|---|---|
| 接口名称 | 按类型查询美国经济指标（统一接口） |
| 外部接口 | GET /api/v1/market/data/economic/us-economic |
| 请求方式 | GET |
| 适用场景 | 通过参数 type 指定指标类型，获取对应美国经济指标的时间序列（时间、前值、现值、发布日期）；支持 16 类指标 |
2. 请求参数
说明：type 为必填项，指定要查询的指标类型。
| 参数名 | 类型 | 是否必填 | 描述 | 取值示例 | 备注 |
|---|---|---|---|---|---|
| type | string | 是 | 指标类型 | ism-manufacturing | 见下方「type 取值列表」 |
type 取值列表
| type 值 | 说明 | 单位/备注 |
|---|---|---|
| ism-manufacturing | 美国 ISM 制造业指数 | 百分比 |
| ism-non-manufacturing | 美国 ISM 非制造业指数 | 百分比 |
| nonfarm-payroll | 美国非农就业人数变化 | 万人（接口已换算） |
| trade-balance | 美国贸易帐 | 亿美元（接口已换算） |
| unemployment-rate | 美国失业率 | 百分比 |
| ppi-mom | 美国生产者物价指数月率 | 百分比 |
| cpi-mom | 美国消费者物价指数月率 | 百分比 |
| cpi-yoy | 美国消费者物价指数年率 | 百分比 |
| core-cpi-mom | 美国核心消费者物价指数月率 | 百分比 |
| core-cpi-yoy | 美国核心消费者物价指数年率 | 百分比 |
| housing-starts | 美国新屋开工 | 万户（接口已换算） |
| existing-home-sales | 美国成屋销售 | 万套 |
| durable-goods-orders-mom | 美国耐用品订单月率 | 百分比 |
| cb-consumer-confidence | 美国咨商会消费者信心指数 | 无单位 |
| gdp-yoy-preliminary | 美国 GDP 年率初值 | 百分比；季度数据，时间为「YYYY年第N季度」 |
| fed-funds-rate-upper | 美国央行公布利率决议（上限） | 百分比 |
3. 用法
从用户问题中识别要查的美国经济指标类型，对应到上表 type 值，执行：
python script/handler.py --type <type值>
示例：
python script/handler.py --type ism-manufacturing
python script/handler.py --type nonfarm-payroll
python script/handler.py --type cpi-mom
python script/handler.py --type fed-funds-rate-upper
脚本输出 JSON 数组，按时间倒序，每项含 month（或季度格式）、prev_value、current_value、release_date，以表格展示给用户。
4. 响应说明
返回值为该指标的时间序列数组，按时间倒序。
单条记录结构（UsEconomicItem）
| 字段名 | 类型 | 是否可为空 | 说明 | 单位 |
|---|---|---|---|---|
| month | String | 否 | 时间；月度为「YYYY年MM月」，季度（如 GDP）为「YYYY年第N季度」 | - |
| prev_value | Number/String | 是 | 上一期数值 | 见各 type 说明 |
| current_value | Number/String | 是 | 当期数值，最新期可能为 null | 见各 type 说明 |
| release_date | String | 否 | 发布日期，YYYY-MM-DD | - |
说明：部分指标为季度（如 gdp-yoy-preliminary），其余为月度。
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 Changed · +6 lines 551480beb7b7
- 11d ago First seen · 90 lines · 89 tokens per session scan A a57bf144e4f1
economic-us-economic-by-type is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (63 stars, last pushed today), licensed MIT. It adds 89 tokens to every session and 1,078 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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