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 Travisun/Opptrix --skill low-lag-trendlinegit clone --depth 1 https://github.com/Travisun/OpptrixWrote 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/travisun/opptrix/low-lag-trendline)<a href="https://agentmods.dev/skills/travisun/opptrix/low-lag-trendline"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/low-lag-trendline/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/travisun/opptrix/low-lag-trendline"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/low-lag-trendline.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 | $0.00080 | $0.00612 |
| Opus 5 | $0.00040 | $0.00306 |
| Sonnet 5 | $0.00016 | $0.00122 |
| Haiku 4.5 | $0.00008 | $0.00061 |
Grade A, and why
low-lag-trendline 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 5d 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
低延迟趋势线择时
方法溯源 广发证券低延迟趋势线（LLT）；用收盘价递推 LLT，并以滚动斜率比生成多头开关信号。
何时使用
用户要降低均线滞后、用 LLT 判断趋势是否仍向上。
分析架构
- 问题：LLT 斜率是否向上？
- 证据：日收盘；参数
d/alpha、slope_window - 信号：斜率比 >1 → 持仓 1，否则 0（默认不做空）
数据维度
| 维度 | 取数方向 | 缺失时 |
|---|---|---|
| 标的 | search_instruments |
先确认 |
| 日 K | get_instrument_chart → workspace_write |
— |
| 计算 | opptrix_run |
— |
| 交付 | create_web |
— |
步骤
- 确认
params.d（默认 20）或alpha。 - 写入日 K JSON。
python scripts/low_lag_trendline.py --input data.json --output result.json- 解读
series.llt与signal。 create_web。
依赖
- 纯 Python 标准库。
禁止
- 荐股；把信号写成买卖指令
- 脚本内联网取数（jqdata / tushare / qlib / HTTP 行情）
- 假装完整回测引擎或伪造胜率
- 无交付就结束（默认 web）
- 与
lean-*技能合并或冒充
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.
- 5d ago First seen · 60 lines · 80 tokens per session scan A c88a2ea0290c
low-lag-trendline is a skill published in the GitHub repository Travisun/Opptrix (231 stars, last pushed 2d ago), licensed Apache-2.0. It adds 80 tokens to every session and 612 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 2026-09-03.
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