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-china-gdp-quarterlygit 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-china-gdp-quarterly)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/economic-china-gdp-quarterly"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/economic-china-gdp-quarterly/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-china-gdp-quarterly"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/economic-china-gdp-quarterly.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 | $0.00055 | $0.00277 |
| Opus 5 | $0.00028 | $0.00138 |
| Sonnet 5 | $0.00011 | $0.00055 |
| Haiku 4.5 | $0.00006 | $0.00028 |
Grade A, and why
economic-china-gdp-quarterly 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
中国经济 - GDP（季度）
参数
无需任何参数。
用法
直接执行：
python script/handler.py
脚本输出 JSON 数组，按时间倒序，每项含 period（如 2025年第1-4季度）、gdp、gdp_yoy（GDP 同比 %）、primary/secondary/tertiary（三次产业值）及对应累计同比、unit（亿元）、currency（人民币），以表格展示给用户。
注意
- 返回按
period季度汇总，如「2025年第1季度」「2025年第1-3季度」「2025年第1-4季度」 - 数值单位见
unit（亿元），同比类字段单位为 % - 列表已按时间倒序，最新季度在前
调用示例
python <RUN_PY> economic-china-gdp-quarterly
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 Changed · +6 lines cf8a211087a9
- 13d ago First seen · 27 lines · 55 tokens per session scan A 232ba8a122ab
economic-china-gdp-quarterly is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (64 stars, last pushed yesterday), licensed MIT. It adds 55 tokens to every session and 277 once invoked, about $0.0003 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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