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 continuous-auction-volumegit 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/continuous-auction-volume)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/continuous-auction-volume"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/continuous-auction-volume/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/continuous-auction-volume"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/continuous-auction-volume.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 | $0.00038 | $0.00204 |
| Opus 5 | $0.00019 | $0.00102 |
| Sonnet 5 | $0.00008 | $0.00041 |
| Haiku 4.5 | $0.00004 | $0.00020 |
Grade A, and why
continuous-auction-volume 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 6d 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
连续竞价成交量
接口：GET /api/v2/market/data/intraday-auction-volume。可选 --trade-date（YYYYMMDD）、--page 和 --page-size，每页最多 200 条；支持 --all 自动翻页。
python <RUN_PY> continuous-auction-volume --trade-date 20260620 --page 1 --page-size 50
不传交易日查询当日实时全市场聚合数据，传入历史交易日查询历史数据；响应为 code/message/data 分页信封，分钟记录位于 data.records，包含 overall、xshg、xshe 和 bjse 四个市场维度。
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.
- 6d ago First seen · 15 lines · 38 tokens per session scan A 2221ce17cdac
continuous-auction-volume is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (63 stars, last pushed 2d ago), licensed MIT. It adds 38 tokens to every session and 204 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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