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 rs-oneway-vol-spreadgit 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/rs-oneway-vol-spread)<a href="https://agentmods.dev/skills/travisun/opptrix/rs-oneway-vol-spread"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/rs-oneway-vol-spread/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/rs-oneway-vol-spread"><img src="https://agentmods.dev/badge/skills/travisun/opptrix/rs-oneway-vol-spread.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 | $0.00081 | $0.00592 |
| Opus 5 | $0.00041 | $0.00296 |
| Sonnet 5 | $0.00016 | $0.00118 |
| Haiku 4.5 | $0.00008 | $0.00059 |
Grade A, and why
rs-oneway-vol-spread 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
相对强弱单向波动差
方法溯源 国信证券市场波动率研究：上行波动 − 下行波动的「剪刀差」，移动平均为正偏多。算法按 QP 目录公式纯 Python 重写，不依赖原 notebook 运行时。
何时使用
用户要对指数/个股做单向波动差状态判断。默认网页。
取数与运行
- 取主标的（或指数）日 K OHLC →
workspace_write。 - 运行：
python scripts/rs_oneway_vol_spread.py --input data.json --output result.json
create_web。
定义
- 上行 =
high/open - 1 - 下行 =
1 - low/open - 差 = 上行 − 下行；对差做 SMA，
>0→ 状态 1
可选 params.use_rps=true：用 RPS 符号加权差（研报进阶路径）。
参数
params.ma：差的均线（默认 60）params.symbol：多标的输入时指定主序列params.use_rps/params.rps_ma/params.rps_lookback
输出
signal：状态序列series：up/down/diff/diff_ma/rps 等
依赖
仅标准库。
禁止
- 荐股；编造未计算序列；无 web 结束
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 · 65 lines · 81 tokens per session scan A 6d5c5ed4a0f7
rs-oneway-vol-spread is a skill published in the GitHub repository Travisun/Opptrix (231 stars, last pushed yesterday), licensed Apache-2.0. It adds 81 tokens to every session and 592 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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